Publications
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Preprints
SNaP: One-Step Posterior Sampling for Noisy Inverse Problems
S. Shoushtari, E. P. Chandler, X. Shi, and U. S. Kamilov
arXiv:2609.34071, 2026
@article{Shoushtari.etal2026b, author={Shoushtari, S. and Chandler, E. P. and Shi, X. and Kamilov, U. S.}, journal={arXiv:2609.34071}, title={SNaP: One-Step Posterior Sampling for Noisy Inverse Problems}, year={2026} }FIRM: Flow-based Imaging via Regularized Minimization
S. Shoushtari, E. P. Chandler, X. Shi, and U. S. Kamilov
arXiv:2609.12953, 2026
@article{Shoushtari.etal2026c, author={Shoushtari, S. and Chandler, E. P. and Shi, X. and Kamilov, U. S.}, journal={arXiv:2609.12953}, title={FIRM: Flow-based Imaging via Regularized Minimization}, year={2026} }Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling
C. Y. Park, J. Mao, X. Xu, C. Y. Park, J. Mao, X. Xu, T. Kass-Hout, U. S. Kamilov, and C. Xiao
arXiv:2607.09892, 2026
@article{Park.etal2026c, author={Park, C. Y. and Mao, J. and Xu, X. and Kass-Hout, T. and Kamilov, U. S. and Xiao, C.}, journal={arXiv:2607.09892}, title={Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling}, year={2026} }NullFlow: One-Step Generative Reconstruction
X. Shi, E. P. Chandler, C. Y. Park, S. Shoushtari, and U. S. Kamilov
arXiv:2606.22696, 2026
@article{Shi.etal2026, author={Shi, X. and Chandler, E. P. and Park, C. Y. and Shoushtari, S. and Kamilov, U. S.}, journal={arXiv:2606.22696}, title={NullFlow: One-Step Generative Reconstruction}, year={2026} }
Published
2026
Measurement Score-Based Diffusion Model
C. Y. Park, S. Shoushtari, and U. S. Kamilov
Int. Conf. Learn. Represent. (ICLR), Rio, Brazil, 2026
@inproceedings{Park.etal2026, author={Park, C. Y. and Shoushtari, S. and Kamilov, U. S.}, booktitle={Int. Conf. Learn. Represent. (ICLR)}, title={Measurement Score-Based Diffusion Model}, year={2026}, address={Rio, Brazil} }EigenScore: OOD Detection using Covariance in Diffusion Models
S. Shoushtari, Y. Wang, X. Shi, M. S. Asif, and U. S. Kamilov
Int. Conf. Learn. Represent. (ICLR), Rio, Brazil, 2026
@inproceedings{Shoushtari.etal2026, author={Shoushtari, S. and Wang, Y. and Shi, X. and Asif, M. S. and Kamilov, U. S.}, booktitle={Int. Conf. Learn. Represent. (ICLR)}, title={EigenScore: OOD Detection using Covariance in Diffusion Models}, year={2026}, address={Rio, Brazil} }Stochastic Generative Plug-and-Play Priors
C. Y. Park, E. P. Chandler, Y. Hu, C. Y. Park, E. P. Chandler, Y. Hu, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov
IEEE Trans. Comput. Imag., 2026
@article{Park.etal2026b, author={Park, C. Y. and Chandler, E. P. and Hu, Y. and McCann, M. T. and Garcia-Cardona, C. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={Stochastic Generative Plug-and-Play Priors}, year={2026} }ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction
Y. Hu, A. Peng, W. Gan, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 12, pp. 776–786, 2026
@article{Hu.etal2026, author={Hu, Y. and Peng, A. and Gan, W. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={{ADOBI}: {A}daptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction}, year={2026}, volume={12}, pages={776--786}, doi={10.1109/TCI.2026.3678407} }AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)—A Comprehensive Neurological Protocol From a Single MRI Scan
J. Lewis, M. S. Goyal, G. F. Wu, J. Lewis, M. S. Goyal, G. F. Wu, Y. Hu, A. L. Sukstanskii, S. V. V. N. Kothapalli, A. H. Cross, U. S. Kamilov, and Y. A. Yablonsky
J. Magn. Reson. Imaging, 2026
@article{Lewis.etal2026, author={Lewis, J. and Goyal, M. S. and Wu, G. F. and Hu, Y. and Sukstanskii, A. L. and Kothapalli, {S. V. V. N.} and Cross, A. H. and Kamilov, U. S. and Yablonsky, Y. A.}, journal={J. Magn. Reson. Imaging}, title={{AI}-Powered Gradient Echo Plural Contrast Imaging ({AI-GEPCI})—A Comprehensive Neurological Protocol From a Single MRI Scan}, year={2026}, doi={10.1002/jmri.70345} }Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data
H. Xie, W. Gan, R. Bayerlein, H. Xie, W. Gan, R. Bayerlein, B. Zhou, M.-K. Chen, M. Kulon, A. Boustani, K.-Y. Ko, D.-S. Wang, B. A. Spencer, W. Ji, X. Chen, Q. Liu, X. Guo, M. Xia, Y. Zhou, H. Liu, L. Guo, H. An, U. S. Kamilov, H. Wang, B. Li, A. Rominger, K. Shi, G. Wang, R. D. Badawi, and C. Liu
Med. Image Anal., p. 104039, 2026
@article{Xie.etal2026, author={Xie, H. and Gan, W. and Bayerlein, R. and Zhou, B. and Chen, M.-K. and Kulon, M. and Boustani, A. and Ko, K.-Y. and Wang, D.-S. and Spencer, B. A. and Ji, W. and Chen, X. and Liu, Q. and Guo, X. and Xia, M. and Zhou, Y. and Liu, H. and Guo, L. and An, H. and Kamilov, U. S. and Wang, H. and Li, B. and Rominger, A. and Shi, K. and Wang, G. and Badawi, R. D. and Liu, C.}, journal={Med. Image Anal.}, title={Dose-aware Diffusion Model for {3D} {PET} Image Denoising: {M}ulti-institutional Validation with Reader Study and Real Low-dose Data}, year={2026}, pages={104039}, doi={10.1016/j.media.2026.104039} }RELD: Regularization by Latent Denoising
P. Cascarano, L. Stacchio, A. Sebastiani, P. Cascarano, L. Stacchio, A. Sebastiani, A. Benfenati, U. S. Kamilov, and G. Marfia
IEEE Signal Process. Lett., vol. 33, pp. 2305–2309, 2026
@article{Cascarano.etal2026, author={Cascarano, P. and Stacchio, L. and Sebastiani, A. and Benfenati, A. and Kamilov, U. S. and Marfia, G.}, journal={IEEE Signal Process. Lett.}, title={{RELD}: Regularization by Latent Denoising}, year={2026}, volume={33}, pages={2305--2309}, doi={10.1109/LSP.2026.3705374} }Integrated quantitative biomarkers of placental texture and hemodynamics improve assessment of pregnancies at risk for adverse fetal outcomes
A. K. Scott, E. M. Louwagie, E. P. Chandler, A. K. Scott, E. M. Louwagie, E. P. Chandler, C. Fosher, A. Arter, F. Manyx, P. Yang, S. S. Kolluru, U. S. Kamilov, A. O. Odibo, and M. L. Oyen
Placenta, 2026
@article{Scott.etal2026, author={Scott, A. K. and Louwagie, E. M. and Chandler, E. P. and Fosher, C. and Arter, A. and Manyx, F. and Yang, P. and Kolluru, S. S. and Kamilov, U. S. and Odibo, A. O. and Oyen, M. L.}, journal={Placenta}, title={Integrated quantitative biomarkers of placental texture and hemodynamics improve assessment of pregnancies at risk for adverse fetal outcomes}, year={2026}, doi={10.1016/j.placenta.2026.07.011} }Moments Matter: Posterior Recovery in Poisson Denoising via Log-Networks
S. Shoushtari, E. P. Chandler, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), Barcelona, Spain, 2026
@inproceedings{Shoushtari.etal2026a, author={Shoushtari, S. and Chandler, E. P. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, title={Moments Matter: Posterior Recovery in Poisson Denoising via Log-Networks}, year={2026}, address={Barcelona, Spain} }Deep Parameter Interpolation for Scalar Conditioning
C. Y. Park, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov
Findings of IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR), Denver, CO, USA, 2026
@inproceedings{Park.etal2026a, author={Park, C. Y. and McCann, M. T. and Garcia-Cardona, C. and Wohlberg, B. and Kamilov, U. S.}, booktitle={Findings of IEEE/CVF Conf. Computer Vision and Pattern Recognition ({CVPR})}, title={Deep Parameter Interpolation for Scalar Conditioning}, year={2026}, address={Denver, CO, USA} }
2025
Stochastic Deep Restoration Priors for Imaging Inverse Problems
Y. Hu, A. Peng, W. Gan, Y. Hu, A. Peng, W. Gan, P. Milanfar, M. Delbracio, and U. S. Kamilov
Int. Conf. Machine Learning (ICML), pp. 24621–24652, Vancouver, Canada, 2025
@inproceedings{Hu.etal2025, author={Hu, Y. and Peng, A. and Gan, W. and Milanfar, P. and Delbracio, M. and Kamilov, U. S.}, booktitle={Int. Conf. Machine Learning (ICML)}, title={Stochastic Deep Restoration Priors for Imaging Inverse Problems}, year={2025}, address={Vancouver, Canada}, pages={24621--24652} }FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
M. Terris, U. S. Kamilov, and T. Moreau
IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR), pp. 23185–23194, Nashville, TN, USA, 2025
@inproceedings{Terris.etal2025, author={Terris, M. and Kamilov, U. S. and Moreau, T.}, booktitle={IEEE/CVF Conf. Computer Vision and Pattern Recognition ({CVPR})}, title={FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems}, year={2025}, address={Nashville, TN, USA}, pages={23185--23194}, doi={10.1109/CVPR52734.2025.02159} }Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
Y. Hu, K. Mei, M. Sahraee-Ardakan, Y. Hu, K. Mei, M. Sahraee-Ardakan, U. S. Kamilov, P. Milanfar, and M. Delbracio
Adv. Neural Information Processing Systems (NeurIPS), San Diego, CA, USA, 2025
@inproceedings{Hu.etal2025a, author={Hu, Y. and Mei, K. and Sahraee-Ardakan, M. and Kamilov, U. S. and Milanfar, P. and Delbracio, M.}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, title={Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration}, year={2025}, address={San Diego, CA, USA} }Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models
C. Y. Park, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov
IEEE Signal Process. Mag., vol. 42, no. 3, pp. 40–51, 2025
@article{Park.etal2025, author={Park, C. Y. and McCann, M. T. and Garcia-Cardona, C. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Signal Process. Mag.}, title={Random Walks with {T}weedie: {A} Unified View of Score-Based Diffusion Models}, year={2025}, volume={42}, no={3}, pages={40--51}, doi={10.1109/MSP.2025.3590608} }Closed-Form Approximation of the Total Variation Proximal Operator
E. P. Chandler, S. Shoushtari, B. Wohlberg, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 11, pp. 1217–1228, 2025
@article{Chandler.etal2025, author={Chandler, E. P. and Shoushtari, S. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={Closed-Form Approximation of the Total Variation Proximal Operator}, year={2025}, vol={11}, pages={1217--1228}, doi={10.1109/TCI.2025.3603689} }CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
X. Xu, W. Gan, S. V. V. N. Kothapalli, D. A. Yablonskiy, and U. S. Kamilov
J. Math. Imaging Vis., vol. 67, no. 20, 2025
@article{Xu.etal2025, author={Xu, X. and Gan, W. and Kothapalli, {S. V. V. N.} and Yablonskiy, D. A. and Kamilov, U. S.}, journal={J. Math. Imaging Vis.}, title={CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping}, year={2025}, doi={10.1007/s10851-025-01236-y}, vol={67}, no={20} }Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
C. Y. Park, W. Gan, Z. Zou, C. Y. Park, W. Gan, Z. Zou, Y. Hu, Z. Sun, and U. S. Kamilov
J. Math. Imaging Vis., vol. 67, no. 21, 2025
@article{Park.etal2025b, author={Park, C. Y. and Gan, W. and Zou, Z. and Hu, Y. and Sun, Z. and Kamilov, U. S.}, journal={J. Math. Imaging Vis.}, title={Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning}, year={2025}, vol={67}, no={21}, doi={10.1007/s10851-025-01241-1} }Computational field-resolved coherent chemical imaging
S. Zhao, L. Chibani, E. Chandler, S. Zhao, L. Chibani, E. Chandler, F. Liu, J. Hu, L. Valzania, U. S. Kamilov, and H. B. de Aguiar
Nat. Commun., vol. 16, no. 7406, 2025
@article{Zhao.etal2025, author={Zhao, S. and Chibani, L. and Chandler, E. and Liu, F. and Hu, J. and Valzania, L. and Kamilov, U. S. and {de Aguiar}, H. B.}, journal={Nat. Commun.}, title={Computational field-resolved coherent chemical imaging}, year={2025}, doi={10.1038/s41467-025-62716-8}, volume={16}, no={7406} }Advanced Quantification Pipeline Reveals New Spatial and Temporal Tumor Characteristics in Preclinical Multiple Myeloma
Z. Sun, J. Godbe, A. Zheleznyak, Z. Sun, J. Godbe, A. Zheleznyak, B. Manion, J. Hu, J. Prior, K. Duncan, U. S. Kamilov, and M. Shokeen
EJNMMI Research, vol. 15, no. 95, 2025
@article{Sun.etal2025, author={Sun, Z. and Godbe, J. and Zheleznyak, A. and Manion, B. and Hu, J. and Prior, J. and Duncan, K. and Kamilov, U. S. and Shokeen, M.}, journal={EJNMMI Research}, title={Advanced Quantification Pipeline Reveals New Spatial and Temporal Tumor Characteristics in Preclinical Multiple Myeloma}, year={2025}, vol={15}, no={95}, doi={10.1186/s13550-025-01291-x} }Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud Removal
Y. Hu, S. Lohit, U. S. Kamilov, and T. K. Marks
IEEE Trans. Geosci. Remote Sens., vol. 63, p. 5639612, 2025
@article{Hu.etal2025b, author={Hu, Y. and Lohit, S. and Kamilov, U. S. and Marks, T. K.}, journal={IEEE Trans. Geosci. Remote Sens.}, title={Multimodal Diffusion Bridge with Attention-Based {SAR} Fusion for Satellite Image Cloud Removal}, year={2025}, volume={63}, pages={5639612}, doi={10.1109/TGRS.2025.3604654} }Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
N. T. Yismaw, U. S. Kamilov, and M. S. Asif
IEEE Trans. Comput. Imag., vol. 11, pp. 1020–1030, 2025
@article{Yismaw.etal2025a, author={Yismaw, N. T. and Kamilov, U. S. and Asif, M. S.}, booktitle={IEEE Trans. Comput. Imag.}, title={Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling}, year={2025}, vol={11}, pages={1020--1030}, doi={10.1109/TCI.2025.3594988} }Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model
W. Gan, H. Xie, C. von Gall, W. Gan, H. Xie, C. von Gall, G. Platsch, M. T. Jurkiewicz, A. Andrade, U. C. Anazodo, U. S. Kamilov, H. An, and J. Cabello
IEEE Trans. Radiat. Plasma Med. Sci., vol. 9, no. 4, pp. 412–420, 2025
@article{Gan.etal2025, author={Gan, W. and Xie, H. and {von Gall}, C. and Platsch, G. and Jurkiewicz, M. T. and Andrade, A. and Anazodo, U. C. and Kamilov, U. S. and An, H. and Cabello, J.}, journal={IEEE Trans. Radiat. Plasma Med. Sci.}, title={Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model}, year={2025}, vol={9}, no={4}, pages={412--420}, doi={10.1109/TRPMS.2025.3528728} }CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction
P. Goyes-Penafiel, U. S. Kamilov, and H. Arguello
IEEE Geosci. Remote Sens. Lett., vol. 22, pp. 1–5, 2025
@article{Goyes.etal2025, author={Goyes-Penafiel, P. and Kamilov, U. S. and Arguello, H.}, journal={IEEE Geosci. Remote Sens. Lett.}, title={CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction}, year={2025}, volume={22}, pages={1--5}, doi={10.1109/LGRS.2025.3545860} }Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration
Z. Zhang, Y. Hao, X. Jin, Z. Zhang, Y. Hao, X. Jin, D. Yang, U. S. Kamilov, and G. D. Hugo
Biomed. Phys. Eng. Express, vol. 11, no. 1, p. 015030, 2025
@article{Zhang.etal2025, author={Zhang, Z. and Hao, Y. and Jin, X. and Yang, D. and Kamilov, U. S. and Hugo, G. D.}, journal={Biomed. Phys. Eng. Express}, title={Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration}, year={2025}, volume={11}, number={1}, pages={015030}, doi={10.1088/2057-1976/ad97c1} }A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging
H. Xie, W. Gan, W. Ji, H. Xie, W. Gan, W. Ji, X. Chen, A. Alashi, S. L. Thorn, B. Zhou, Q. Liu, M. Xia, X. Guo, Y.-H. Liu, H. An, U. S. Kamilov, G. Wang, A. J. Sinusas, and C. Liu
Med. Image Anal., vol. 106, p. 103729, 2025
@article{Xie.etal2025, author={Xie, H. and Gan, W. and Ji, W. and Chen, X. and Alashi, A. and Thorn, S. L. and Zhou, B. and Liu, Q. and Xia, M. and Guo, X. and Liu, Y.-H. and An, H. and Kamilov, U. S. and Wang, G. and Sinusas, A. J. and Liu, C.}, journal={Med. Image Anal.}, title={A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging}, year={2025}, volume={106}, pages={103729}, doi={10.1016/j.media.2025.103729} }Bioengineering approaches for patient-specific analysis of placenta structure and function
A. K. Scott, D. M. Fodera, P. Yang, A. K. Scott, D. M. Fodera, P. Yang, A. Arter, A. M. Hines, S. S. Kolluru, S. G. Zambuto, K. M. Myers, U. S. Kamilov, A. O. Odibo, and M. L. Oyen
Placenta, vol. 166, pp. 154–163, 2025
@article{Scott.etal2025, author={Scott, A. K. and Fodera, D. M. and Yang, P. and Arter, A. and Hines, A. M. and Kolluru, S. S. and Zambuto, S. G. and Myers, K. M. and Kamilov, U. S. and Odibo, A. O. and Oyen, M. L.}, journal={Placenta}, title={Bioengineering approaches for patient-specific analysis of placenta structure and function}, year={2025}, volume={166}, pages={154--163}, doi={10.1016/j.placenta.2024.08.005} }Plug-and-Play Priors as a Score-Based Method
C. Y. Park, Y. Hu, M. T. McCann, C. Y. Park, Y. Hu, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov
IEEE Int. Conf. Image Proc. (ICIP), pp. 49–54, Anchorage, USA, 2025
@inproceedings{Park.etal2025a, author={Park, C. Y. and Hu, Y. and McCann, M. T. and Garcia-Cardona, C. and Wohlberg, B. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Image Proc. (ICIP)}, title={Plug-and-Play Priors as a Score-Based Method}, year={2025}, address={Anchorage, USA}, pages={49--54}, doi={10.1109/ICIP55913.2025.11084503} }FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
Z. Zou, J. Liu, S. Shoushtari, Z. Zou, J. Liu, S. Shoushtari, Y. Wang, W. Gan, and U. S. Kamilov
IEEE/CVF Wint. Conf. on Appli. of Comp. Vis. (WACV), pp. 5228–5238, Tucson, Arizona, 2025
@inproceedings{Zou.etal2025, author={Zou, Z. and Liu, J. and Shoushtari, S. and Wang, Y. and Gan, W. and Kamilov, U. S.}, booktitle={IEEE/CVF Wint. Conf. on Appli. of Comp. Vis. (WACV)}, title={FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration}, year={2025}, pages={5228--5238}, address={Tucson, Arizona}, doi={10.1109/WACV61041.2025.00511} }A Self-Supervised Diffusion Bridge for MRI Reconstruction
H. Gao, W. Gan, Y. Hu, H. An, and U. S. Kamilov
IEEE Int. Symp. Biomedical Imaging (ISBI), pp. 1–4, Houston, TX, USA, 2025
@inproceedings{Gao.etal2025, author={Gao, H. and Gan, W. and Hu, Y. and An, H. and Kamilov, U. S.}, booktitle={IEEE Int. Symp. Biomedical Imaging (ISBI)}, title={A Self-Supervised Diffusion Bridge for MRI Reconstruction}, year={2025}, pages={1--4}, doi={10.1109/ISBI60581.2025.10980710}, address={Houston, TX, USA} }Plug-and-Play Posterior Sampling for Blind Inverse Problems
A. Li, W. Gan, and U. S. Kamilov
IEEE Stat. Signal Process. Workshop (SSP), pp. 81–85, Edinburgh, UK, 2025
@inproceedings{Li.etal2025, author={Li, A. and Gan, W. and Kamilov, U. S.}, booktitle={IEEE Stat. Signal Process. Workshop (SSP)}, title={Plug-and-Play Posterior Sampling for Blind Inverse Problems}, year={2025}, address={Edinburgh, UK}, doi={10.1109/SSP64130.2025.11073296}, pages={81--85} }Enhancing Seismic Post-stack Reconstruction with Diffusion Models: Addressing Uncertainty and Structural Complexity
P. Goyes-Peñafiel, H. Arguello, and U. S. Kamilov
IEEE Stat. Signal Process. Workshop (SSP), pp. 86–90, Edinburgh, UK, 2025
@inproceedings{GoyesPenafiel.etal2025, author={Goyes-Pe{\~n}afiel, P. and Arguello, H. and Kamilov, U. S.}, booktitle={IEEE Stat. Signal Process. Workshop (SSP)}, title={Enhancing Seismic Post-stack Reconstruction with Diffusion Models: {A}ddressing Uncertainty and Structural Complexity}, year={2025}, pages={86--90}, address={Edinburgh, UK}, doi={10.1109/SSP64130.2025.11073374} }Covariance-Corrected Diffusion Models for Solving Inverse Problems
N. T. Yismaw, U. S. Kamilov, and M. S. Asif
IEEE Stat. Signal Process. Workshop (SSP), pp. 26–30, Edinburgh, UK, 2025
@inproceedings{Yismaw.etal2025, author={Yismaw, N. T. and Kamilov, U. S. and Asif, M. S.}, booktitle={IEEE Stat. Signal Process. Workshop (SSP)}, title={Covariance-Corrected Diffusion Models for Solving Inverse Problems}, year={2025}, address={Edinburgh, UK}, pages={26--30}, doi={10.1109/SSP64130.2025.11073300} }
2024
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
S. Shoushtari, J. Liu, E. Chandler, M. S. Asif, and U. S. Kamilov
Int. Conf. Machine Learning (ICML), pp. 45154–45182, Vienna, Austria, 2024
@inproceedings{Shoushtari.etal2024, author={Shoushtari, S. and Liu, J. and Chandler, E. and Asif, M. S. and Kamilov, U. S.}, booktitle={Int. Conf. Machine Learning (ICML)}, title={Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis}, year={2024}, address={Vienna, Austria}, pages={45154--45182} }A Restoration Network as an Implicit Prior
Y. Hu, M. Delbracio, P. Milanfar, and U. S. Kamilov
Int. Conf. Learn. Represent. (ICLR), Vienna, Austria, 2024
@inproceedings{Hu.etal2024, author={Hu, Y. and Delbracio, M. and Milanfar, P. and Kamilov, U. S.}, booktitle={Int. Conf. Learn. Represent. (ICLR)}, title={A Restoration Network as an Implicit Prior}, year={2024}, address={Vienna, Austria} }A Plug-and-Play Image Registration Network
J. Hu, W. Gan, Z. Sun, H. An, and U. S. Kamilov
Int. Conf. Learn. Represent. (ICLR), Vienna, Austria, 2024
@inproceedings{Hu.etal2024b, author={Hu, J. and Gan, W. and Sun, Z. and An, H. and Kamilov, U. S.}, booktitle={Int. Conf. Learn. Represent. (ICLR)}, title={A Plug-and-Play Image Registration Network}, year={2024}, address={Vienna, Austria} }Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
M. Renaud, J. Liu, V. de Bortoli, A. Almansa, and U. S. Kamilov
Int. Conf. Learn. Represent. (ICLR), Vienna, Austria, 2024
@inproceedings{Renaud.etal2024, author={Renaud, M. and Liu, J. and {de Bortoli}, V. and Almansa, A. and Kamilov, U. S.}, booktitle={Int. Conf. Learn. Represent. (ICLR)}, title={Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models}, year={2024}, address={Vienna, Austria} }SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
Y. Hu, W. Gan, C. Ying, Y. Hu, W. Gan, C. Ying, T. Wang, C. Eldeniz, J. Liu, Y. Chen, H. An, and U. S. Kamilov
Magn. Reson. Med., vol. 92, no. 3, pp. 1048–1063, 2024
@article{Hu.etal2024a, author={Hu, Y. and Gan, W. and Ying, C. and Wang, T. and Eldeniz, C. and Liu, J. and Chen, Y. and An, H. and Kamilov, U. S.}, journal={Magn. Reson. Med.}, title={SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction}, volume={92}, number={3}, pages={1048--1063}, year={2024}, doi={10.1002/mrm.30121} }PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
W. Gan, Q. Zhai, M. T. McCann, W. Gan, Q. Zhai, M. T. McCann, C. G. Cardona, U. S. Kamilov, and B. Wohlberg
IEEE Open J. Signal Process., vol. 5, pp. 539–547, 2024
@article{Gan.etal2024, author={Gan, W. and Zhai, Q. and McCann, M. T. and Cardona, C. G. and Kamilov, U. S. and Wohlberg, B.}, journal={IEEE Open J. Signal Process.}, title={PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction}, volume={5}, pages={539--547}, year={2024}, doi={10.1109/OJSP.2024.3375276} }Domain Expansion via Network Adaptation for Solving Inverse Problems
N. Yismaw, U. S. Kamilov, and M. S. Asif
IEEE Trans. Comput. Imag., vol. 10, pp. 549–559, 2024
@article{Yismaw.etal2024, author={Yismaw, N. and Kamilov, U. S. and Asif, M. S.}, journal={IEEE Trans. Comput. Imag.}, title={Domain Expansion via Network Adaptation for Solving Inverse Problems}, volume={10}, pages={549--559}, year={2024}, doi={10.1109/TCI.2024.3377101} }Constrained Regularization by Denoising With Automatic Parameter Selection
P. Cascarano, A. Benfenati, U. S. Kamilov, and X. Xu
IEEE Signal Process. Lett., vol. 31, pp. 556–560, 2024
@article{Cascarano.etal2024, author={Cascarano, P. and Benfenati, A. and Kamilov, U. S. and Xu, X.}, journal={IEEE Signal Process. Lett.}, title={Constrained Regularization by Denoising With Automatic Parameter Selection}, volume={31}, pages={556--560}, year={2024}, doi={10.1109/LSP.2024.3359569} }DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model
Y. Hu, S. V. V. N. Kothapalli, W. Gan, Y. Hu, S. V. V. N. Kothapalli, W. Gan, A. Sukstanskii, G. F. Wu, M. Goyal, D. Yablonskiy, and U. S. Kamilov
IEEE Int. Symp. Biomedical Imaging (ISBI), pp. 1–4, Athens, Greece, 2024
@inproceedings{Hu.etal2024c, author={Hu, Y. and Kothapalli, {S. V. V. N.} and Gan, W. and Sukstanskii, A. and Wu, G. F. and Goyal, M. and Yablonskiy, D. and Kamilov, U. S.}, booktitle={IEEE Int. Symp. Biomedical Imaging (ISBI)}, title={DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model}, year={2024}, address={Athens, Greece}, doi={10.1109/ISBI56570.2024.10635694}, pages={1--4} }
2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
W. Gan, S. Shoushtari, Y. Hu, W. Gan, S. Shoushtari, Y. Hu, J. Liu, H. An, and U. S. Kamilov
Adv. Neural Information Processing Systems (NeurIPS), pp. 78607–78620, New Orleans, USA, 2023
@inproceedings{Gan.etal2023, author={Gan, W. and Shoushtari, S. and Hu, Y. and Liu, J. and An, H. and Kamilov, U. S.}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, title={Block Coordinate Plug-and-Play Methods for Blind Inverse Problems}, year={2023}, address={New Orleans, USA}, pages={78607--78620} }Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
S. Hurault, U. S. Kamilov, A. Leclaire, and N. Papadakis
Adv. Neural Information Processing Systems (NeurIPS), pp. 27251–27280, New Orleans, USA, 2023
@inproceedings{Hurault.etal2023, author={Hurault, S. and Kamilov, U. S. and Leclaire, A. and Papadakis, N.}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, title={Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems}, year={2023}, pages={27251--27280}, address={New Orleans, USA} }DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
J. Liu, R. Anirudh, J. J. Thiagarajan, J. Liu, R. Anirudh, J. J. Thiagarajan, S. He, K. A. Mohan, U. S. Kamilov, and H. Kim
IEEE Int. Conf. Comp. Vis. (ICCV), pp. 10498–10508, Paris, France, 2023
@inproceedings{Liu.etal2023, author={Liu, J. and Anirudh, R. and Thiagarajan, J. J. and He, S. and Mohan, K. A. and Kamilov, U. S. and Kim, H.}, booktitle={IEEE Int. Conf. Comp. Vis. (ICCV)}, title={DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction}, year={2023}, address={Paris, France}, pages={10498--10508}, doi={10.1109/ICCV51070.2023.00963} }Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging
U. S. Kamilov, C. A. Bouman, G. T. Buzzard, and B. Wohlberg
IEEE Signal Process. Mag., vol. 40, no. 1, pp. 85–97, 2023
@article{Kamilov.etal2023, author={Kamilov, U. S. and Bouman, C. A. and Buzzard, G. T. and Wohlberg, B.}, journal={IEEE Signal Process. Mag.}, title={Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging}, volume={40}, number={1}, pages={85--97}, year={2023}, doi={10.1109/msp.2022.3199595} }Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems
Z. Zou, J. Liu, B. Wohlberg, and U. S. Kamilov
IEEE Open J. Signal Process., vol. 4, pp. 390–398, 2023
@article{Zou.etal2023, author={Zou, Z. and Liu, J. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Open J. Signal Process.}, title={Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems}, volume={4}, pages={390--398}, year={2023}, doi={10.1109/ojsp.2023.3296036} }Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
W. Gan, C. Ying, P. Eshraghi, W. Gan, C. Ying, P. Eshraghi, T. Wang, C. Eldeniz, Y. Hu, J. Liu, Y. Chen, H. An, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 4, pp. 796–807, 2023
@article{Gan.etal2023a, author={Gan, W. and Ying, C. and Eshraghi, P. and Wang, T. and Eldeniz, C. and Hu, Y. and Liu, J. and Chen, Y. and An, H. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees}, volume={4}, pages={796--807}, year={2023}, doi={10.1109/tci.2023.3304475} }Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system
S. Chen, C. Eldeniz, T. J. Fraum, S. Chen, C. Eldeniz, T. J. Fraum, D. R. Ludwig, W. Gan, J. Liu, U. S. Kamilov, D. Yang, H. M. Gach, and H. An
Med. Phys., vol. 50, no. 10, pp. 6163–6176, 2023
@article{Chen.etal2023, author={Chen, S. and Eldeniz, C. and Fraum, T. J. and Ludwig, D. R. and Gan, W. and Liu, J. and Kamilov, U. S. and Yang, D. and Gach, H. M. and An, H.}, journal={Med. Phys.}, title={Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system}, volume={50}, number={10}, pages={6163--6176}, year={2023}, doi={10.1002/mp.16469} }Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach
P. Goyes-Penafiel, E. Vargas, C. V. Correa, P. Goyes-Penafiel, E. Vargas, C. V. Correa, Y. Sun, U. S. Kamilov, B. Wohlberg, and H. Arguello
IEEE Trans. Geosci. Remote Sens., vol. 61, pp. 1–12, 2023
@article{Goyes-Penafiel.etal2023, author={Goyes-Penafiel, P. and Vargas, E. and Correa, C. V. and Sun, Y. and Kamilov, U. S. and Wohlberg, B. and Arguello, H.}, journal={IEEE Trans. Geosci. Remote Sens.}, title={Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach}, volume={61}, pages={1--12}, year={2023}, doi={10.1109/TGRS.2023.3290468} }Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure and Hemodynamic Properties
S. Kahali, S. V. V. N. Kothapalli, X. Xu, U. S. Kamilov, and D. Yablonskiy
NMR Biomed., vol. 36, no. 5, p. e4883, 2023
@article{Kahali.etal2023, author={Kahali, S. and Kothapalli, {S. V. V. N.} and Xu, X. and Kamilov, U. S. and Yablonskiy, D.}, journal={NMR Biomed.}, title={Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure and Hemodynamic Properties}, volume={36}, number={5}, pages={e4883}, year={2023}, doi={10.1002/nbm.4883} }Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction
Z. Zhang, J. Liu, D. Yang, U. S. Kamilov, and G. Hugo
Med. Phys., vol. 50, no. 2, pp. 808–820, 2023
@article{Zhang.etal2023, author={Zhang, Z. and Liu, J. and Yang, D. and Kamilov, U. S. and Hugo, G.}, journal={Med. Phys.}, title={Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction}, volume={50}, number={2}, pages={808--820}, year={2023}, doi={10.1002/mp.16103} }Overcoming Distribution Shifts in Plug-And-Play Methods With Test-Time Training★
C. Park, S. Shoushtari, W. Gan, and U. S. Kamilov
IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), pp. 511–515, Los Sueños, Costa Rica, 2023
CAMSAP 2023 Student Paper Award finalist
@inproceedings{Park.etal2023, author={Park, C. and Shoushtari, S. and Gan, W. and Kamilov, U. S.}, booktitle={IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)}, title={Overcoming Distribution Shifts in Plug-And-Play Methods With Test-Time Training}, year={2023}, address={Los Sue{\~n}os, Costa Rica}, pages={511--515}, doi={10.1109/CAMSAP58249.2023.10403463} }Convergence of Nonconvex PnP-ADMM With MMSE Denoisers
E. P. Chandler, S. Shoushtari, J. Liu, M. S. Asif, and U. S. Kamilov
IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), pp. 511–515, Los Sueños, Costa Rica, 2023
@inproceedings{Chandler.etal2023, author={Chandler, E. P. and Shoushtari, S. and Liu, J. and Asif, M. S. and Kamilov, U. S.}, booktitle={IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)}, title={Convergence of Nonconvex PnP-ADMM With MMSE Denoisers}, year={2023}, address={Los Sue{\~n}os, Costa Rica}, pages={511--515}, doi={10.1109/CAMSAP58249.2023.10403502} }Diffusion Models for Phase Retrieval in Computational Imaging
S. Shoushtari, J. Liu, and U. S. Kamilov
57th Asilomar Conf. Signals, Systems, & Computers, Pacific Grove, CA, 2023
@inproceedings{Shoushtari.etal2023, author={Shoushtari, S. and Liu, J. and Kamilov, U. S.}, booktitle={57th Asilomar Conf. Signals, Systems, & Computers}, title={Diffusion Models for Phase Retrieval in Computational Imaging}, year={2023}, address={Pacific Grove, CA}, doi={10.1109/IEEECONF59524.2023.10477083} }Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN
T. Kerepecky, J. Liu, X. W. Ng, D. W. Piston, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), Rhodes Island, Greece, 2023
@inproceedings{Kerepecky.etal2023, author={Kerepecky, T. and Liu, J. and Ng, X. W. and Piston, D. W. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, title={Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN}, year={2023}, address={Rhodes Island, Greece}, doi={10.1109/icassp49357.2023.10095386} }Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model
J. Hu, S. Shoushtari, Z. Zou, J. Hu, S. Shoushtari, Z. Zou, J. Liu, Z. Sun, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), Rhodes Island, Greece, 2023
@inproceedings{Hu.etal2023, author={Hu, J. and Shoushtari, S. and Zou, Z. and Liu, J. and Sun, Z. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, title={Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model}, year={2023}, address={Rhodes Island, Greece}, doi={10.1109/icassp49357.2023.10096199} }SINCO: A Novel structural regularizer for image compression using implicit neural representations
W. Gan, H. Gao, Z. Sun, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), Rhodes Island, Greece, 2023
@inproceedings{Gan.etal2023b, author={Gan, W. and Gao, H. and Sun, Z. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, title={SINCO: A Novel structural regularizer for image compression using implicit neural representations}, year={2023}, address={Rhodes Island, Greece}, doi={10.1109/icassp49357.2023.10095531} }
2022
Online Deep Equilibrium Learning for Regularization by Denoising
J. Liu, X. Xu, W. Gan, and U. S. Kamilov
Adv. Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022
@inproceedings{Liu.etal2022, author={Liu, J. and Xu, X. and Gan, W. and Kamilov, U. S.}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, title={Online Deep Equilibrium Learning for Regularization by Denoising}, year={2022}, address={New Orleans, USA} }Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
W. Shangguan, Y. Sun, W. Gan, and U. S. Kamilov
European Conference on Computer Vision (ECCV), pp. 511–528, Tel Aviv, Israel, 2022
@inproceedings{Shangguan.etal2022, author={Shangguan, W. and Sun, Y. and Gan, W. and Kamilov, U. S.}, booktitle={European Conference on Computer Vision (ECCV)}, title={Learning Cross-Video Neural Representations for High-Quality Frame Interpolation}, year={2022}, pages={511--528}, address={Tel Aviv, Israel}, doi={10.1007/978-3-031-19784-0_30} }Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
S. Shoushtari, J. Liu, Y. Hu, and U. S. Kamilov
IEEE J. Sel. Areas Inf. Theory, vol. 3, no. 3, pp. 468–480, 2022
@article{Shoushtari.etal2022, author={Shoushtari, S. and Liu, J. and Hu, Y. and Kamilov, U. S.}, journal={IEEE J. Sel. Areas Inf. Theory}, title={Deep Model-Based Architectures for Inverse Problems under Mismatched Priors}, volume={3}, number={3}, pages={468--480}, year={2022}, doi={10.1109/jsait.2022.3220044} }Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields
R. Liu, Y. Sun, J. Zhu, L. Tian, and U. S. Kamilov
Nat. Mach. Intell., vol. 4, pp. 781–791, 2022
@article{Liu.etal2022a, author={Liu, R. and Sun, Y. and Zhu, J. and Tian, L. and Kamilov, U. S.}, journal={Nat. Mach. Intell.}, title={Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields}, volume={4}, pages={781--791}, year={2022}, doi={10.1038/s42256-022-00530-3} }Deformation-Compensated Learning for Image Reconstruction without Ground Truth
W. Gan, Y. Sun, C. Eldeniz, H. An, and U. S. Kamilov
IEEE Trans. Med. Imag., vol. 41, no. 9, pp. 2371–2384, 2022
@article{Gan.etal2022, author={Gan, W. and Sun, Y. and Eldeniz, C. and An, H. and Kamilov, U. S.}, journal={IEEE Trans. Med. Imag.}, title={Deformation-Compensated Learning for Image Reconstruction without Ground Truth}, volume={41}, no={9}, pages={2371--2384}, year={2022}, doi={10.1109/tmi.2022.3163018} }Learning-based Motion Artifact Removal Networks for Quantitative R2* Mapping
X. Xu, S. V. V. N. Kothapalli, J. Liu, X. Xu, S. V. V. N. Kothapalli, J. Liu, S. Kahali, W. Gan, D. Yablonskiy, and U. S. Kamilov
Magn. Reson. Med., vol. 88, no. 1, pp. 106–119, 2022
@article{Xu.etal2022, author={Xu, X. and Kothapalli, {S. V. V. N.} and Liu, J. and Kahali, S. and Gan, W. and Yablonskiy, D. and Kamilov, U. S.}, journal={Magn. Reson. Med.}, title={Learning-based Motion Artifact Removal Networks for Quantitative R2* Mapping}, volume={88}, no={1}, pages={106--119}, year={2022}, doi={10.1002/mrm.29188} }MR-Assisted PET Respiratory Motion Correction Using Deep-Learning Based Short-Scan Motion Fields
S. Chen, T. J. Fraum, C. Eldeniz, S. Chen, T. J. Fraum, C. Eldeniz, J. Mhlanga, W. Gan, T. Vahle, U. B. Krishnamurthy, D. Faul, H. M. Gach, M. M. Binkley, U. S. Kamilov, R. Laforest, and H. An
Magn. Reson. Med., vol. 88, no. 2, pp. 676–690, 2022
@article{Chen.etal2022, author={Chen, S. and Fraum, T. J. and Eldeniz, C. and Mhlanga, J. and Gan, W. and Vahle, T. and Krishnamurthy, U. B. and Faul, D. and Gach, H. M. and Binkley, M. M. and Kamilov, U. S. and Laforest, R. and An, H.}, journal={Magn. Reson. Med.}, title={MR-Assisted PET Respiratory Motion Correction Using Deep-Learning Based Short-Scan Motion Fields}, volume={88}, no={2}, pages={676--690}, year={2022}, doi={10.1002/mrm.29233} }Estimation of the mechanical properties of a transversely isotropic material from shear wave fields via artificial neural networks
Z. Hou, C. A. Guertler, R. J. Okamoto, Z. Hou, C. A. Guertler, R. J. Okamoto, H. Chen, J. R. Garbow, U. S. Kamilov, and P. V. Bayly
J. Mech. Behav. Biomed. Mater., vol. 126, p. 105046, 2022
@article{Hou.etal2022, author={Hou, Z. and Guertler, C. A. and Okamoto, R. J. and Chen, H. and Garbow, J. R. and Kamilov, U. S. and Bayly, P. V.}, journal={J. Mech. Behav. Biomed. Mater.}, title={Estimation of the mechanical properties of a transversely isotropic material from shear wave fields via artificial neural networks}, volume={126}, pages={105046}, year={2022}, doi={10.1016/j.jmbbm.2021.105046]} }Monotonically Convergent Regularization by Denoising
Y. Hu, J. Liu, X. Xu, and U. S. Kamilov
IEEE Int. Conf. Image Proc. (ICIP), pp. 426–430, Bordeaux, France, 2022
@inproceedings{Hu.etal2022, author={Hu, Y. and Liu, J. and Xu, X. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Image Proc. (ICIP)}, title={Monotonically Convergent Regularization by Denoising}, year={2022}, address={Bordeaux, France}, pages={426--430}, doi={10.1109/icip46576.2022.9897639} }Bregman Plug-and-Play Priors
A. H. Al-Shabili, X. Xu, I. Selesnick, and U. S. Kamilov
IEEE Int. Conf. Image Proc. (ICIP), pp. 241–245, Bordeaux, France, 2022
@inproceedings{AlShabili.etal2022, author={Al-Shabili, A. H. and Xu, X. and Selesnick, I. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Image Proc. (ICIP)}, title={Bregman Plug-and-Play Priors}, year={2022}, address={Bordeaux, France}, pages={241--245}, doi={10.1109/icip46576.2022.9897933} }
2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
J. Liu, S. Asif, B. Wohlberg, and U. S. Kamilov
Adv. Neural Information Processing Systems (NeurIPS), 2021
@inproceedings{Liu.etal2021, author={Liu, J. and Asif, S. and Wohlberg, B. and Kamilov, U. S.}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, title={Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition}, year={2021} }Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors★
Y. Sun, J. Liu, Y. Sun, B. Wohlberg, and U. S. Kamilov
Int. Conf. Learn. Represent. (ICLR), 2021
Spotlight (top 4% of papers)
@inproceedings{Sun.etal2021, author={Sun, Y. and Liu, J. and Sun, Y. and Wohlberg, B. and Kamilov, U. S.}, booktitle={Int. Conf. Learn. Represent. (ICLR)}, title={Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors}, year={2021} }CoIL: Coordinate-based Internal Learning for Tomographic Imaging
Y. Sun, J. Liu, M. Xie, B. Wohlberg, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 7, pp. 1400–1412, 2021
@article{Sun.etal2021a, author={Sun, Y. and Liu, J. and Xie, M. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={CoIL: Coordinate-based Internal Learning for Tomographic Imaging}, volume={7}, pages={1400--1412}, year={2021}, doi={10.1109/tci.2021.3125564} }Scalable Plug-and-Play ADMM with Convergence Guarantees
Y. Sun, Z. Wu, X. Xu, B. Wohlberg, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 7, pp. 849–863, 2021
@article{Sun.etal2021b, author={Sun, Y. and Wu, Z. and Xu, X. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={Scalable Plug-and-Play ADMM with Convergence Guarantees}, volume={7}, pages={849--863}, year={2021}, doi={10.1109/tci.2021.3094062} }SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
J. Liu, Y. Sun, W. Gan, J. Liu, Y. Sun, W. Gan, X. Xu, B. Wohlberg, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 7, pp. 598–610, 2021
@article{Liu.etal2021a, author={Liu, J. and Sun, Y. and Gan, W. and Xu, X. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees}, volume={7}, pages={598--610}, year={2021}, doi={10.1109/tci.2021.3085534} }Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging
C. Eldeniz, W. Gan, S. Chen, C. Eldeniz, W. Gan, S. Chen, T. J. Fraum, D. R. Ludwig, Y. Yan, J. Liu, T. Vahle, U. B. Krishnamurthy, U. S. Kamilov, and H. An
Invest. Radiol., vol. 56, no. 12, pp. 809–819, 2021
@article{Eldeniz.etal2021, author={Eldeniz, C. and Gan, W. and Chen, S. and Fraum, T. J. and Ludwig, D. R. and Yan, Y. and Liu, J. and Vahle, T. and Krishnamurthy, U. B. and Kamilov, U. S. and An, H.}, journal={Invest. Radiol.}, title={Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging}, volume={56}, no={12}, pages={809--819}, year={2021}, doi={10.1097/rli.0000000000000792} }Joint Reconstruction and Calibration using Regularization by Denoising
M. Xie, J. Liu, B. Wohlberg, and U. S. Kamilov
IEEE Int. Conf. Comp. Vis. Workshops (ICCVW), pp. 4028–4037, 2021
@inproceedings{Xie.etal2021, author={Xie, M. and Liu, J. and Wohlberg, B. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Comp. Vis. Workshops (ICCVW)}, title={Joint Reconstruction and Calibration using Regularization by Denoising}, year={2021}, pages={4028--4037}, doi={10.1109/iccvw54120.2021.00448} }Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth
W. Gan, Y. Hu, C. Eldeniz, W. Gan, Y. Hu, C. Eldeniz, J. Liu, Y. Chen, H. An, and U. S. Kamilov
IEEE Int. Conf. Comp. Vis. Workshops (ICCVW), pp. 4048–4056, 2021
@inproceedings{Gan.etal2021, author={Gan, W. and Hu, Y. and Eldeniz, C. and Liu, J. and Chen, Y. and An, H. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Comp. Vis. Workshops (ICCVW)}, title={Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth}, year={2021}, pages={4048--4056}, doi={10.1109/iccvw54120.2021.00450} }Stochastic Deep Unfolding for Imaging Inverse Problems
J. Liu, Y. Sun, W. Gan, J. Liu, Y. Sun, W. Gan, X. Xu, B. Wohlberg, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 1395–1399, Toronto, Canada, 2021
@inproceedings{Liu.etal2021b, author={Liu, J. and Sun, Y. and Gan, W. and Xu, X. and Wohlberg, B. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, title={Stochastic Deep Unfolding for Imaging Inverse Problems}, year={2021}, pages={1395--1399}, address={Toronto, Canada}, doi={10.1109/icassp39728.2021.9414332} }Deep Image Reconstruction using Unregistered Measurements without Groundtruth
W. Gan, Y. Sun, C. Eldeniz, H. An, and U. S. Kamilov
IEEE Int. Symp. Biomedical Imaging 2021 (ISBI), pp. 1531–1534, Nice, France, 2021
@inproceedings{Gan.etal2021a, author={Gan, W. and Sun, Y. and Eldeniz, C. and An, H. and Kamilov, U. S.}, booktitle={IEEE Int. Symp. Biomedical Imaging 2021 (ISBI)}, title={Deep Image Reconstruction using Unregistered Measurements without Groundtruth}, year={2021}, pages={1531--1534}, address={Nice, France}, doi={10.1109/isbi48211.2021.9434079} }
2020
SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors
Z. Wu, Y. Sun, A. Matlock, Z. Wu, Y. Sun, A. Matlock, J. Liu, L. Tian, and U. S. Kamilov
IEEE J. Sel. Topics Signal Process., vol. 14, no. 6, pp. 1163–1175, 2020
@article{Wu.etal2020, author={Wu, Z. and Sun, Y. and Matlock, A. and Liu, J. and Tian, L. and Kamilov, U. S.}, journal={IEEE J. Sel. Topics Signal Process.}, title={SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors}, volume={14}, no={6}, pages={1163--1175}, year={2020}, doi={10.1109/jstsp.2020.2999820} }RARE: Image Reconstruction using Deep Priors Learned without Ground Truth
J. Liu, Y. Sun, C. Eldeniz, J. Liu, Y. Sun, C. Eldeniz, W. Gan, H. An, and U. S. Kamilov
IEEE J. Sel. Topics Signal Process., vol. 14, no. 6, pp. 1088–1099, 2020
@article{Liu.etal2020, author={Liu, J. and Sun, Y. and Eldeniz, C. and Gan, W. and An, H. and Kamilov, U. S.}, journal={IEEE J. Sel. Topics Signal Process.}, title={RARE: Image Reconstruction using Deep Priors Learned without Ground Truth}, volume={14}, no={6}, pages={1088--1099}, year={2020}, doi={10.1109/jstsp.2020.2998402} }Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images
M. Torop, S. Kothapalli, Y. Sun, M. Torop, S. Kothapalli, Y. Sun, J. Liu, S. Kahali, D. A. Yablonskiy, and U. S. Kamilov
Magn. Reson. Med., vol. 84, no. 6, pp. 2932–2942, 2020
@article{Torop.etal2020, author={Torop, M. and Kothapalli, S. and Sun, Y. and Liu, J. and Kahali, S. and Yablonskiy, D. A. and Kamilov, U. S.}, journal={Magn. Reson. Med.}, title={Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images}, volume={84}, no={6}, pages={2932--2942}, year={2020}, doi={10.1002/mrm.28344} }Block Coordinate Regularization by Denoising
Y. Sun, J. Liu, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 6, pp. 908–921, 2020
@article{Sun.etal2020, author={Sun, Y. and Liu, J. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={Block Coordinate Regularization by Denoising}, volume={6}, pages={908--921}, year={2020}, doi={10.1109/tci.2020.2996385} }Provable Convergence of Plug-and-Play Priors with MMSE denoisers
X. Xu, Y. Sun, J. Liu, B. Wohlberg, and U. S. Kamilov
IEEE Signal Process. Lett., vol. 27, pp. 1280–1284, 2020
@article{Xu.etal2020, author={Xu, X. and Sun, Y. and Liu, J. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Signal Process. Lett.}, title={Provable Convergence of Plug-and-Play Priors with MMSE denoisers}, volume={27}, pages={1280--1284}, year={2020}, doi={10.1109/lsp.2020.3006390} }A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network
G. Song, Y. Sun, J. Liu, Z. Wang, and U. S. Kamilov
IEEE Signal Process. Lett., vol. 27, pp. 451–455, 2020
@article{Song.etal2020, author={Song, G. and Sun, Y. and Liu, J. and Wang, Z. and Kamilov, U. S.}, journal={IEEE Signal Process. Lett.}, title={A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network}, volume={27}, pages={451--455}, year={2020}, doi={10.1109/lsp.2020.2977214} }Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling
X. Xu, J. Liu, Y. Sun, B. Wohlberg, and U. S. Kamilov
54th Asilomar Conf. Signals, Systems, & Computers, pp. 1305–1312, Pacific Grove, CA, 2020
@inproceedings{Xu.etal2020a, author={Xu, X. and Liu, J. and Sun, Y. and Wohlberg, B. and Kamilov, U. S.}, booktitle={54th Asilomar Conf. Signals, Systems, & Computers}, title={Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling}, year={2020}, pages={1305--1312}, address={Pacific Grove, CA}, doi={10.1109/ieeeconf51394.2020.9443410} }Image reconstruction for MRI using deep CNN priors trained without ground truth
W. Gan, C. Eldeniz, J. Liu, H. An, and U. S. Kamilov
54th Asilomar Conf. Signals, Systems, & Computers, pp. 475–479, Pacific Grove, CA, 2020
@inproceedings{Gan.etal2020, author={Gan, W. and Eldeniz, C. and Liu, J. and An, H. and Kamilov, U. S.}, booktitle={54th Asilomar Conf. Signals, Systems, & Computers}, title={Image reconstruction for MRI using deep CNN priors trained without ground truth}, year={2020}, pages={475--479}, address={Pacific Grove, CA}, doi={10.1109/ieeeconf51394.2020.9443403} }
2019
Block Coordinate Regularization by Denoising
Y. Sun, J. Liu, and U. S. Kamilov
Adv. Neural Information Processing Systems (NeurIPS), pp. 382–392, Vancouver, Canada, 2019
@inproceedings{Sun.etal2019, author={Sun, Y. and Liu, J. and Kamilov, U. S.}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, title={Block Coordinate Regularization by Denoising}, pages={382--392}, year={2019}, address={Vancouver, Canada} }An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Y. Sun, B. Wohlberg, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 5, no. 3, pp. 395–408, 2019
@article{Sun.etal2019a, author={Sun, Y. and Wohlberg, B. and Kamilov, U. S.}, journal={IEEE Trans. Comput. Imag.}, title={An Online Plug-and-Play Algorithm for Regularized Image Reconstruction}, volume={5}, no={3}, pages={395--408}, year={2019}, doi={10.1109/tci.2019.2893568} }Holographic particle localization under multiple scattering
W. Tahir, U. S. Kamilov, and L. Tian
SPIE Adv. Photon., vol. 1, no. 3, p. 036003, 2019
@article{Tahir.etal2019, author={Tahir, W. and Kamilov, U. S. and Tian, L.}, journal={SPIE Adv. Photon.}, title={Holographic particle localization under multiple scattering}, volume={1}, no={3}, pages={036003}, year={2019}, doi={10.1117/1.ap.1.3.036003} }Infusing Learned Priors into Model-Based Multispectral Imaging
J. Liu, Y. Sun, and U. S. Kamilov
IEEE 8th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), Guadeloupe, France, 2019
@inproceedings{Liu.etal2019, author={Liu, J. and Sun, Y. and Kamilov, U. S.}, booktitle={IEEE 8th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)}, title={Infusing Learned Priors into Model-Based Multispectral Imaging}, year={2019}, address={Guadeloupe, France} }Online Regularization by Denoising with Applications to Phase Retrieval
Z. Wu, Y. Sun, J. Liu, and U. S. Kamilov
IEEE Int. Conf. Comp. Vis. Workshops (ICCVW), pp. 3887–3895, Seoul, South Korea, 2019
@inproceedings{Wu.etal2019, author={Wu, Z. and Sun, Y. and Liu, J. and Kamilov, U. S.}, booktitle={IEEE Int. Conf. Comp. Vis. Workshops (ICCVW)}, title={Online Regularization by Denoising with Applications to Phase Retrieval}, year={2019}, address={Seoul, South Korea}, pages={3887--3895}, doi={10.1109/iccvw.2019.00482} }Plug-and-Play Priors for Reconstruction-based Placental Image Registration
J. Xing, U. S. Kamilov, W. Wu, Y. Wang, and M. Zhang
Medical Image Computing and Computer-Assisted Intervention Workshops (MICCAIW), pp. 133–142, Shenzhen, China, 2019
@inproceedings{Xing.etal2019, author={Xing, J. and Kamilov, U. S. and Wu, W. and Wang, Y. and Zhang, M.}, booktitle={Medical Image Computing and Computer-Assisted Intervention Workshops (MICCAIW)}, pages={133--142}, title={Plug-and-Play Priors for Reconstruction-based Placental Image Registration}, year={2019}, address={Shenzhen, China}, doi={10.1007/978-3-030-32875-7_15} }Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Y. Sun, S. Xu, Y. Li, Y. Sun, S. Xu, Y. Li, L. Tian, B. Wohlberg, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 7665–7669, Brighton, UK, 2019
@inproceedings{Sun.etal2019b, author={Sun, Y. and Xu, S. and Li, Y. and Tian, L. and Wohlberg, B. and Kamilov, U. S.}, title={Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={7665--7669}, year={2019}, address={Brighton, UK}, doi={10.1109/icassp.2019.8683057} }Image Restoration using Total Variation Regularized Deep Image Prior
J. Liu, Y. Sun, X. Xu, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 7715–7719, Brighton, UK, 2019
@inproceedings{Liu.etal2019a, author={Liu, J. and Sun, Y. and Xu, X. and Kamilov, U. S.}, title={Image Restoration using Total Variation Regularized Deep Image Prior}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={7715--7719}, year={2019}, address={Brighton, UK}, doi={10.1109/icassp.2019.8682856} }signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization
X. Xu and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 7800–7804, Brighton, UK, 2019
@inproceedings{Xu.etal2019, author={Xu, X. and Kamilov, U. S.}, title={signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={7800--7804}, year={2019}, address={Brighton, UK}, doi={10.1109/icassp.2019.8682059} }Plug-In Stochastic Gradient Method
Y. Sun, B. Wohlberg, and U. S. Kamilov
International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP), p. 75, Villars-sur-Ollon, Switzerland, 2019
@inproceedings{Sun.etal2019c, author={Sun, Y. and Wohlberg, B. and Kamilov, U. S.}, title={Plug-In Stochastic Gradient Method}, booktitle={International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP)}, pages={75}, year={2019}, address={Villars-sur-Ollon, Switzerland} }
2018
Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging
H. Mansour, D. Liu, U. S. Kamilov, and P. T. Boufounos
IEEE Trans. Comput. Imag., vol. 4, no. 4, pp. 537–551, 2018
@article{Mansour.etal2018, author={Mansour, H. and Liu, D. and Kamilov, U. S. and Boufounos, P. T.}, title={Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging}, journal={IEEE Trans. Comput. Imag.}, volume={4}, no={4}, pages={537--551}, year={2018}, doi={10.1109/tci.2018.2875375} }Learning-based Image Reconstruction via Parallel Proximal Algorithm
E. Bostan, U. S. Kamilov, and L. Waller
IEEE Signal Process. Lett., vol. 25, no. 7, pp. 989–993, 2018
@article{Bostan.etal2018, author={Bostan, E. and Kamilov, U. S. and Waller, L.}, title={Learning-based Image Reconstruction via Parallel Proximal Algorithm}, journal={IEEE Signal Process. Lett.}, volume={25}, no={7}, pages={989--993}, year={2018}, doi={10.1109/lsp.2018.2833812} }Efficient and accurate inversion of multiple scattering with deep learning
Y. Sun, Z. Xia, and U. S. Kamilov
Opt. Express, vol. 26, no. 11, pp. 14678–14688, 2018
@article{Sun.etal2018, author={Sun, Y. and Xia, Z. and Kamilov, U. S.}, title={Efficient and accurate inversion of multiple scattering with deep learning}, journal={Opt. Express}, volume={26}, no={11}, pages={14678--14688}, year={2018}, doi={10.1364/oe.26.014678} }SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering
H.-Y. Liu, D. Liu, H. Mansour, H.-Y. Liu, D. Liu, H. Mansour, P. T. Boufounos, L. Waller, and U. S. Kamilov
IEEE Trans. Comput. Imag., vol. 4, no. 1, pp. 73–86, 2018
@article{Liu.etal2018, author={Liu, H.-Y. and Liu, D. and Mansour, H. and Boufounos, P. T. and Waller, L. and Kamilov, U. S.}, title={SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering}, journal={IEEE Trans. Comput. Imag.}, volume={4}, no={1}, pages={73--86}, year={2018}, doi={10.1109/tci.2017.2764461} }Stability of Scattering Decoder For Nonlinear Diffractive Imaging
Y. Sun and U. S. Kamilov
4th International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), p. 31, Marseille, France, 2018
@inproceedings{Sun.etal2018a, author={Sun, Y. and Kamilov, U. S.}, title={Stability of Scattering Decoder For Nonlinear Diffractive Imaging}, booktitle={4th International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST)}, pages={31}, year={2018}, address={Marseille, France} }Robust sensor localization based on Euclidean distance matrix
D. Liu, H. Mansour, P. T. Boufounos, and U. S. Kamilov
IEEE Int. Geosci. Remote Sensing Symp. (IGARSS), pp. 7998–8001, Valencia, Spain, 2018
@inproceedings{Liu.etal2018a, author={Liu, D. and Mansour, H. and Boufounos, P. T. and Kamilov, U. S.}, title={Robust sensor localization based on Euclidean distance matrix}, booktitle={IEEE Int. Geosci. Remote Sensing Symp. (IGARSS)}, pages={7998--8001}, year={2018}, address={Valencia, Spain}, doi={10.1109/IGARSS.2018.8517324} }Nonconvex optimization for diffractive imaging
Y. Ma, H. Mansour, D. Liu, P. T. Boufounos, and U. S. Kamilov
OSA Mathematics in Imaging (MATH), p. MW5D.3, Orlando, FL, 2018
@inproceedings{Ma.etal2018, author={Ma, Y. and Mansour, H. and Liu, D. and Boufounos, P. T. and Kamilov, U. S.}, title={Nonconvex optimization for diffractive imaging}, booktitle={OSA Mathematics in Imaging (MATH)}, pages={MW5D.3}, year={2018}, address={Orlando, FL}, doi={10.1364/MATH.2018.MW5D.3} }Sampling and processing for multiple scattering in inline compressive holography
W. Tahir, U. S. Kamilov, and L. Tian
OSA Applications of Lasers for Sensing and Free Space Communications (LS&C), p. JTh3B.1, Orlando, FL, 2018
@inproceedings{Tahir.etal2018, author={Tahir, W. and Kamilov, U. S. and Tian, L.}, title={Sampling and processing for multiple scattering in inline compressive holography}, booktitle={OSA Applications of Lasers for Sensing and Free Space Communications (LS&C)}, pages={JTh3B.1}, year={2018}, address={Orlando, FL}, doi={10.1364/3D.2018.JTh3B.1]} }Radar Autofocus using Sparse Blind Deconvolution
H. Mansour, U. S. Kamilov, D. Liu, and P. T. Boufounos
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 1623–1627, Calgary, Canada, 2018
@inproceedings{Mansour.etal2018a, author={Mansour, H. and Kamilov, U. S. and Liu, D. and Boufounos, P. T.}, title={Radar Autofocus using Sparse Blind Deconvolution}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={1623--1627}, year={2018}, address={Calgary, Canada}, doi={10.1109/icassp.2018.8462402} }DeepCASD: An End-to-End Approach for Multi-spectral Image Super-Resolution
B. Wen, U. S. Kamilov, D. Liu, H. Mansour, and P. T. Boufounos
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 6503–6507, Calgary, Canada, 2018
@inproceedings{Wen.etal2018, author={Wen, B. and Kamilov, U. S. and Liu, D. and Mansour, H. and Boufounos, P. T.}, title={DeepCASD: An End-to-End Approach for Multi-spectral Image Super-Resolution}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={6503--6507}, year={2018}, address={Calgary, Canada}, doi={10.1109/icassp.2018.8461795} }Accelerated Image Reconstruction for Nonlinear Diffractive Imaging
Y. Ma, H. Mansour, D. Liu, P. T. Boufounos, and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 6473–6477, Calgary, Canada, 2018
@inproceedings{Ma.etal2018a, author={Ma, Y. and Mansour, H. and Liu, D. and Boufounos, P. T. and Kamilov, U. S.}, title={Accelerated Image Reconstruction for Nonlinear Diffractive Imaging}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={6473--6477}, year={2018}, address={Calgary, Canada}, doi={10.1109/icassp.2018.8462400} }
2017
A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems
U. S. Kamilov, H. Mansour, and B. Wohlberg
IEEE Signal Process. Lett., vol. 24, no. 12, pp. 1872–1876, 2017
@article{Kamilov.etal2017, author={Kamilov, U. S. and Mansour, H. and Wohlberg, B.}, title={A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems}, journal={IEEE Signal Process. Lett.}, volume={24}, no={12}, pages={1872--1876}, year={2017}, doi={10.1109/lsp.2017.2763583} }Motion-Adaptive Depth Superresolution
U. S. Kamilov and P. T. Boufounos
IEEE Trans. Image Process., vol. 26, no. 4, pp. 1723–1731, 2017
@article{Kamilov.etal2017a, author={Kamilov, U. S. and Boufounos, P. T.}, title={Motion-Adaptive Depth Superresolution}, journal={IEEE Trans. Image Process.}, volume={26}, no={4}, pages={1723--1731}, year={2017}, doi={10.1109/tip.2017.2658944} }A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization
U. S. Kamilov
IEEE Trans. Image Process., vol. 26, no. 2, pp. 539–548, 2017
@article{Kamilov.etal2017b, author={Kamilov, U. S.}, title={A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization}, journal={IEEE Trans. Image Process.}, volume={26}, no={2}, pages={539--548}, year={2017}, doi={10.1109/tip.2016.2629449} }Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
S. Rangan, A. K. Fletcher, P. Schniter, and U. S. Kamilov
IEEE Trans. Inf. Theory., vol. 63, no. 1, pp. 676–697, 2017
@article{Rangan.etal2017, author={Rangan, S. and Fletcher, A. K. and Schniter, P. and Kamilov, U. S.}, title={Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization}, journal={IEEE Trans. Inf. Theory.}, volume={63}, no={1}, pages={676--697}, year={2017}, doi={10.1109/tit.2016.2619373} }Online Convolutional Dictionary Learning for Multimodal Imaging
K. Degraux, U. S. Kamilov, P. T. Boufounos, and D. Liu
IEEE Int. Conf. Image Proc. (ICIP), pp. 1617–1621, Beijing, China, 2017
@inproceedings{Degraux.etal2017, author={Degraux, K. and Kamilov, U. S. and Boufounos, P. T. and Liu, D.}, title={Online Convolutional Dictionary Learning for Multimodal Imaging}, booktitle={IEEE Int. Conf. Image Proc. (ICIP)}, year={2017}, pages={1617--1621}, address={Beijing, China}, doi={10.1109/ICIP.2017.8296555} }Fusion of multi-angular aerial Images based on epipolar geometry and matrix completion
Y. Ma, D. Liu, H. Mansour, Y. Ma, D. Liu, H. Mansour, U. S. Kamilov, Y. Taguchi, P. T. Boufounos, and A. Vetro
IEEE Int. Conf. Image Proc. (ICIP), pp. 1197–1201, Beijing, China, 2017
@inproceedings{Ma.etal2017, author={Ma, Y. and Liu, D. and Mansour, H. and Kamilov, U. S. and Taguchi, Y. and Boufounos, P. T. and Vetro, A.}, title={Fusion of multi-angular aerial Images based on epipolar geometry and matrix completion}, booktitle={IEEE Int. Conf. Image Proc. (ICIP)}, year={2017}, pages={1197--1201}, address={Beijing, China}, doi={10.1109/ICIP.2017.8296471} }Learning Convolutional Proximal Filters
U. S. Kamilov, H. Mansour, and D. Liu
7th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), p. 101, Lisbon, Portugal, 2017
@inproceedings{Kamilov.etal2017c, author={Kamilov, U. S. and Mansour, H. and Liu, D.}, title={Learning Convolutional Proximal Filters}, booktitle={7th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS)}, year={2017}, pages={101}, address={Lisbon, Portugal} }A Kaczmarz Method for Low Rank Matrix Recovery
H. Mansour, U. S. Kamilov, and O. Yilmaz
7th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), p. 60, Lisbon, Portugal, 2017
@inproceedings{Mansour.etal2017, author={Mansour, H. and Kamilov, U. S. and Yilmaz, O.}, title={A Kaczmarz Method for Low Rank Matrix Recovery}, booktitle={7th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS)}, year={2017}, pages={60}, address={Lisbon, Portugal} }Compressive Imaging with Iterative Forward Models★
H.-Y. Liu, U. S. Kamilov, D. Liu, H. Mansour, and P. T. Boufounos
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 6025–6029, New Orleans, LA, 2017
ICASSP 2017 Student Paper Award finalist
@inproceedings{Liu.etal2017, author={Liu, H.-Y. and Kamilov, U. S. and Liu, D. and Mansour, H. and Boufounos, P. T.}, title={Compressive Imaging with Iterative Forward Models}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2017}, pages={6025--6029}, address={New Orleans, LA}, doi={10.1109/ICASSP.2017.7953313} }Optical Tomography based on a Nonlinear Model that Handles Multiple Scattering
M. H. Shoreh, A. Goy, J. Lim, M. H. Shoreh, A. Goy, J. Lim, U. S. Kamilov, M. Unser, and D. Psaltis
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 6220–6224, New Orleans, LA, 2017
@inproceedings{Shoreh.etal2017, author={Shoreh, M. H. and Goy, A. and Lim, J. and Kamilov, U. S. and Unser, M. and Psaltis, D.}, title={Optical Tomography based on a Nonlinear Model that Handles Multiple Scattering}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2017}, pages={6220--6224}, address={New Orleans, LA}, doi={10.1109/ICASSP.2017.7953352} }Learning Bayesian Optimal FISTA with Error Backpropagation
U. S. Kamilov and H. Mansour
International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP), p. 66, Villars-sur-Ollon, Switzerland, 2017
@inproceedings{Kamilov.etal2017d, author={Kamilov, U. S. and Mansour, H.}, title={Learning Bayesian Optimal FISTA with Error Backpropagation}, booktitle={International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP)}, year={2017}, pages={66}, address={Villars-sur-Ollon, Switzerland} }
2016
A Recursive Born Approach to Nonlinear Inverse Scattering
U. S. Kamilov, D. Liu, H. Mansour, and P. T. Boufounos
IEEE Signal Process. Lett., vol. 23, no. 8, pp. 1052–1056, 2016
@article{Kamilov.etal2016, author={Kamilov, U. S. and Liu, D. and Mansour, H. and Boufounos, P. T.}, title={A Recursive Born Approach to Nonlinear Inverse Scattering}, journal={IEEE Signal Process. Lett.}, volume={23}, no={8}, pages={1052--1056}, year={2016}, doi={10.1109/lsp.2016.2579647} }Learning optimal nonlinearities for iterative thresholding algorithms
U. S. Kamilov and H. Mansour
IEEE Signal Process. Lett., vol. 23, no. 5, pp. 747–751, 2016
@article{Kamilov.etal2016a, author={Kamilov, U. S. and Mansour, H.}, title={Learning optimal nonlinearities for iterative thresholding algorithms}, journal={IEEE Signal Process. Lett.}, volume={23}, no={5}, pages={747--751}, year={2016}, doi={10.1109/lsp.2016.2548245} }Optical tomographic image reconstruction based on beam propagation and sparse regularization
U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis
IEEE Trans. Comput. Imag., vol. 2, no. 1, pp. 59–70, 2016
@article{Kamilov.etal2016b, author={Kamilov, U. S. and Papadopoulos, I. N. and Shoreh, M. H. and Goy, A. and Vonesch, C. and Unser, M. and Psaltis, D.}, title={Optical tomographic image reconstruction based on beam propagation and sparse regularization}, journal={IEEE Trans. Comput. Imag.}, volume={2}, no={1}, pages={59--70}, year={2016}, doi={10.1109/tci.2016.2519261} }Compressive Tomographic Radar Imaging with Total Variation Regularization
D. Liu, U. S. Kamilov, and P. T. Boufounos
IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), pp. 120–123, Aachen, Germany, 2016
@inproceedings{Liu.etal2016, author={Liu, D. and Kamilov, U. S. and Boufounos, P. T.}, title={Compressive Tomographic Radar Imaging with Total Variation Regularization}, booktitle={IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa)}, year={2016}, pages={120--123}, address={Aachen, Germany}, doi={10.1109/cosera.2016.7745712} }Coherent Distributed Array Imaging under Unknown Position Perturbations
D. Liu, U. S. Kamilov, and P. T. Boufounos
IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), pp. 105–109, Aachen, Germany, 2016
@inproceedings{Liu.etal2016a, author={Liu, D. and Kamilov, U. S. and Boufounos, P. T.}, title={Coherent Distributed Array Imaging under Unknown Position Perturbations}, booktitle={IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa)}, year={2016}, pages={105--109}, address={Aachen, Germany}, doi={10.1109/cosera.2016.7745709} }Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging
H. Mansour, U. S. Kamilov, D. Liu, H. Mansour, U. S. Kamilov, D. Liu, P. Orlik, P. T. Boufounos, K. Parsons, and A. Vetro
IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), pp. 61–65, Aachen, Germany, 2016
@inproceedings{Mansour.etal2016, author={Mansour, H. and Kamilov, U. S. and Liu, D. and Orlik, P. and Boufounos, P. T. and Parsons, K. and Vetro, A.}, title={Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging}, booktitle={IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa)}, year={2016}, pages={61--65}, address={Aachen, Germany}, doi={10.1109/cosera.2016.7745700} }Learning MMSE Optimal Thresholds for FISTA
U. S. Kamilov and H. Mansour
3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), p. 42, Aalborg, Denmark, 2016
@inproceedings{Kamilov.etal2016c, author={Kamilov, U. S. and Mansour, H.}, title={Learning MMSE Optimal Thresholds for FISTA}, booktitle={3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST)}, year={2016}, pages={42}, address={Aalborg, Denmark} }Minimizing Isotropic Total Variation without Subiterations
U. S. Kamilov
3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), p. 39, Aalborg, Denmark, 2016
@inproceedings{Kamilov.etal2016d, author={Kamilov, U. S.}, title={Minimizing Isotropic Total Variation without Subiterations}, booktitle={3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST)}, year={2016}, pages={39}, address={Aalborg, Denmark} }Depth Superresolution using Motion Adaptive Regularization
U. S. Kamilov and P. T. Boufounos
IEEE Int. Conf. Multimedia & Expo Workshops (ICMEW), pp. 1–6, Seattle, WA, 2016
@inproceedings{Kamilov.etal2016e, author={Kamilov, U. S. and Boufounos, P. T.}, title={Depth Superresolution using Motion Adaptive Regularization}, booktitle={IEEE Int. Conf. Multimedia & Expo Workshops (ICMEW)}, year={2016}, pages={1--6}, address={Seattle, WA}, doi={10.1109/icmew.2016.7574677} }Parallel proximal methods for total variation minimization
U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 4697–4701, Shanghai, China, 2016
@inproceedings{Kamilov.etal2016f, author={Kamilov, U. S.}, title={Parallel proximal methods for total variation minimization}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2016}, pages={4697--4701}, address={Shanghai, China}, doi={10.1109/icassp.2016.7472568} }Autocalibration of Lidar and Optical Cameras via Edge Alignment
J. Castorena, U. S. Kamilov, and P. T. Boufounos
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 2862–2866, Shanghai, China, 2016
@inproceedings{Castorena.etal2016, author={Castorena, J. and Kamilov, U. S. and Boufounos, P. T.}, title={Autocalibration of Lidar and Optical Cameras via Edge Alignment}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2016}, pages={2862--2866}, address={Shanghai, China}, doi={10.1109/icassp.2016.7472200} }Multipath Removal by Online Blind Deconvolution in Through-the-Wall-Imaging
H. Mansour and U. S. Kamilov
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 3106–3110, Shanghai, China, 2016
@inproceedings{Mansour.etal2016a, author={Mansour, H. and Kamilov, U. S.}, title={Multipath Removal by Online Blind Deconvolution in Through-the-Wall-Imaging}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2016}, pages={3106--3110}, address={Shanghai, China}, doi={10.1109/icassp.2016.7472249} }
2015
Learning Approach to Optical Tomography★
U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis
Optica, vol. 2, no. 6, pp. 517–522, 2015
Featured in Nature "News & Views" (vol. 523, pp. 416-416)
@article{Kamilov.etal2015, author={Kamilov, U. S. and Papadopoulos, I. N. and Shoreh, M. H. and Goy, A. and Vonesch, C. and Unser, M. and Psaltis, D.}, title={Learning Approach to Optical Tomography}, journal={Optica}, volume={2}, no={6}, pages={517--522}, year={2015}, doi={10.1364/optica.2.000517} }Isotropic inverse-problem approach for two-dimensional phase unwrapping
U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, D. Psaltis, and M. Unser
J. Opt. Soc. Am. A, vol. 32, no. 6, pp. 1092–1100, 2015
@article{Kamilov.etal2015a, author={Kamilov, U. S. and Papadopoulos, I. N. and Shoreh, M. H. and Psaltis, D. and Unser, M.}, title={Isotropic inverse-problem approach for two-dimensional phase unwrapping}, journal={J. Opt. Soc. Am. A}, volume={32}, no={6}, pages={1092--1100}, year={2015}, doi={10.1364/josaa.32.001092} }Extended Target Localization with Total-Variation Denoising in Through-the-Wall-Imaging
H. Handa, H. Mansour, D. Liu, and U. S. Kamilov
IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), pp. 445–448, Cancun, Mexico, 2015
@inproceedings{Handa.etal2015, author={Handa, H. and Mansour, H. and Liu, D. and Kamilov, U. S.}, title={Extended Target Localization with Total-Variation Denoising in Through-the-Wall-Imaging}, booktitle={IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)}, year={2015}, pages={445--448}, address={Cancun, Mexico}, doi={10.1109/camsap.2015.7383832} }Sparsity-Driven Distributed Array Imaging
D. Liu, U. S. Kamilov, and P. T. Boufounos
IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), pp. 441–444, Cancun, Mexico, 2015
@inproceedings{Liu.etal2015, author={Liu, D. and Kamilov, U. S. and Boufounos, P. T.}, title={Sparsity-Driven Distributed Array Imaging}, booktitle={IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)}, year={2015}, pages={441--444}, address={Cancun, Mexico}, doi={10.1109/camsap.2015.7383831} }Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
S. Rangan, A. K. Fletcher, P. Schniter, and U. S. Kamilov
IEEE Int. Symp. Inform. Theory (ISIT), pp. 1640–1644, Hong Kong, 2015
@inproceedings{Rangan.etal2015, author={Rangan, S. and Fletcher, A. K. and Schniter, P. and Kamilov, U. S.}, title={Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization}, booktitle={IEEE Int. Symp. Inform. Theory (ISIT)}, year={2015}, pages={1640--1644}, address={Hong Kong}, doi={10.1109/isit.2015.7282734} }
2014
Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems
U. S. Kamilov, E. Bostan, and M. Unser
IEEE Signal Process. Lett., vol. 21, no. 11, pp. 1326–1330, 2014
@article{Kamilov.etal2014, author={Kamilov, U. S. and Bostan, E. and Unser, M.}, title={Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems}, journal={IEEE Signal Process. Lett.}, volume={21}, no={11}, pages={1326--1330}, year={2014}, doi={10.1109/lsp.2014.2334306} }Approximate Message Passing with Consistent Parameter Estimation and Application to Sparse Learning
U. S. Kamilov, S. Rangan, A. K. Fletcher, and M. Unser
IEEE Trans. Inf. Theory, vol. 60, no. 5, pp. 2969–2985, 2014
@article{Kamilov.etal2014a, author={Kamilov, U. S. and Rangan, S. and Fletcher, A. K. and Unser, M.}, title={Approximate Message Passing with Consistent Parameter Estimation and Application to Sparse Learning}, journal={IEEE Trans. Inf. Theory}, volume={60}, no={5}, pages={2969--2985}, year={2014}, doi={10.1109/tit.2014.2309005} }
2013
Sparse Stochastic Processes and Discretization of Linear Inverse Problems
E. Bostan, U. S. Kamilov, M. Nilchian, and M. Unser
IEEE Trans. Image Process., vol. 22, no. 7, pp. 2699–2710, 2013
@article{Kamilov.etal2013, author={Bostan, E. and Kamilov, U. S. and Nilchian, M. and Unser, M.}, title={Sparse Stochastic Processes and Discretization of Linear Inverse Problems}, journal={IEEE Trans. Image Process.}, volume={22}, no={7}, pages={2699--2710}, year={2013}, doi={10.1109/tip.2013.2255305} }Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning
A. Kazerouni, U. S. Kamilov, E. Bostan, and M. Unser
IEEE Signal Process. Lett., vol. 20, no. 3, pp. 249–252, 2013
@article{Kazerouni.etal2013, author={Kazerouni, A. and Kamilov, U. S. and Bostan, E. and Unser, M.}, title={Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning}, journal={IEEE Signal Process. Lett.}, volume={20}, no={3}, pages={249--252}, year={2013}, doi={10.1109/lsp.2013.2242061} }Bayesian Estimation for Continuous-Time Sparse Stochastic Processes
A. Amini, U. S. Kamilov, E. Bostan, and M. Unser
IEEE Trans. Signal Process., vol. 61, no. 4, pp. 907–920, 2013
@article{Amini.etal2013, author={Amini, A. and Kamilov, U. S. and Bostan, E. and Unser, M.}, title={Bayesian Estimation for Continuous-Time Sparse Stochastic Processes}, journal={IEEE Trans. Signal Process.}, volume={61}, no={4}, pages={907--920}, year={2013}, doi={10.1109/tsp.2012.2226446} }MMSE Estimation of Sparse Levy Processes
U. S. Kamilov, P. Pad, A. Amini, and M. Unser
IEEE Trans. Signal Process., vol. 61, no. 1, pp. 137–147, 2013
@article{Kamilov.etal2013a, author={Kamilov, U. S. and Pad, P. and Amini, A. and Unser, M.}, title={MMSE Estimation of Sparse Levy Processes}, journal={IEEE Trans. Signal Process.}, volume={61}, no={1}, pages={137--147}, year={2013}, doi={10.1109/tsp.2012.2222394} }Sparse Image Deconvolution with Message Passing
U. S. Kamilov, A. Bourquard, and M. Unser
Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), Lausanne, Switzerland, 2013
@inproceedings{Kamilov.etal2013b, author={Kamilov, U. S. and Bourquard, A. and Unser, M.}, title={Sparse Image Deconvolution with Message Passing}, booktitle={Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS)}, year={2013}, address={Lausanne, Switzerland} }Consistent Discretization of Linear Inverse Problems using Sparse Stochastic Processes
E. Bostan, U. S. Kamilov, M. Nilchian, and M. Unser
Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), Lausanne, Switzerland, 2013
@inproceedings{Bostan.etal2013, author={Bostan, E. and Kamilov, U. S. and Nilchian, M. and Unser, M.}, title={Consistent Discretization of Linear Inverse Problems using Sparse Stochastic Processes}, booktitle={Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS)}, year={2013}, address={Lausanne, Switzerland} }MAP Estimators for Self-Similar Sparse Stochastic Models
E. Bostan, J. Fageot, U. S. Kamilov, and M. Unser
International Conference on Sampling Theory and Applications (SAMPTA), pp. 197–199, Bremen, Germany, 2013
@inproceedings{Bostan.etal2013a, author={Bostan, E. and Fageot, J. and Kamilov, U. S. and Unser, M.}, title={MAP Estimators for Self-Similar Sparse Stochastic Models}, booktitle={International Conference on Sampling Theory and Applications (SAMPTA)}, year={2013}, pages={197--199}, address={Bremen, Germany} }Autocalibrated Signal Reconstruction from Linear Measurements using Adaptive GAMP
U. S. Kamilov, A. Bourquard, E. Bostan, and M. Unser
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 197–199, Vancouver, Canada, 2013
@inproceedings{Kamilov.etal2013c, author={Kamilov, U. S. and Bourquard, A. and Bostan, E. and Unser, M.}, title={Autocalibrated Signal Reconstruction from Linear Measurements using Adaptive GAMP}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2013}, pages={197--199}, address={Vancouver, Canada}, doi={10.1109/ICASSP.2013.6638801} }Benefits of Consistency in Image Denoising with Steerable Wavelets
B. Tekin, U. S. Kamilov, E. Bostan, and M. Unser
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 1355–1358, Vancouver, Canada, 2013
@inproceedings{Tekin.etal2013, author={Tekin, B. and Kamilov, U. S. and Bostan, E. and Unser, M.}, title={Benefits of Consistency in Image Denoising with Steerable Wavelets}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, year={2013}, pages={1355--1358}, address={Vancouver, Canada}, doi={10.1109/icassp.2013.6637872} }
2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
U. S. Kamilov, S. Rangan, A. K. Fletcher, and M. Unser
Adv. Neural Information Processing Systems (NeurIPS), pp. 2447–2455, Lake Tahoe, NV, 2012
@inproceedings{Kamilov.etal2012c, author={Kamilov, U. S. and Rangan, S. and Fletcher, A. K. and Unser, M.}, title={Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning}, booktitle={Adv. Neural Information Processing Systems (NeurIPS)}, year={2012}, address={Lake Tahoe, NV}, pages={2447--2455} }Message-Passing De-Quantization with Applications to Compressed Sensing★
U. S. Kamilov, V. K. Goyal, and S. Rangan
IEEE Trans. Signal Process., vol. 60, no. 12, pp. 6270–6281, 2012
IEEE Signal Processing Society Best Paper Award 2017
@article{Kamilov.etal2012, author={Kamilov, U. S. and Goyal, V. K. and Rangan, S.}, title={Message-Passing De-Quantization with Applications to Compressed Sensing}, journal={IEEE Trans. Signal Process.}, volume={60}, no={12}, pages={6270--6281}, year={2012}, doi={10.1109/tsp.2012.2217334} }One-Bit Measurements with Adaptive Thresholds
U. S. Kamilov, A. Bourquard, A. Amini, and M. Unser
IEEE Signal Process. Lett., vol. 19, no. 10, pp. 607–610, 2012
@article{Kamilov.etal2012a, author={Kamilov, U. S. and Bourquard, A. and Amini, A. and Unser, M.}, title={One-Bit Measurements with Adaptive Thresholds}, journal={IEEE Signal Process. Lett.}, volume={19}, no={10}, pages={607--610}, year={2012}, doi={10.1109/lsp.2012.2209640} }Wavelet Shrinkage with Consistent Cycle Spinning Generalizes Total Variation Denoising
U. S. Kamilov, E. Bostan, and M. Unser
IEEE Signal Process. Lett., vol. 19, no. 4, pp. 187–190, 2012
@article{Kamilov.etal2012b, author={Kamilov, U. S. and Bostan, E. and Unser, M.}, title={Wavelet Shrinkage with Consistent Cycle Spinning Generalizes Total Variation Denoising}, journal={IEEE Signal Process. Lett.}, volume={19}, no={4}, pages={187--190}, year={2012}, doi={10.1109/lsp.2012.2185929} }The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors
A. Amini, U. S. Kamilov, and M. Unser
IEEE Information Theory Workshop (ITW), pp. 687–691, Lausanne, Switzerland, 2012
@inproceedings{Amini.etal2012, author={Amini, A. and Kamilov, U. S. and Unser, M.}, title={The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors}, booktitle={IEEE Information Theory Workshop (ITW)}, pages={687--691}, year={2012}, address={Lausanne, Switzerland}, doi={10.1109/itw.2012.6404765} }Reconstruction of Biomedical Images and Sparse Stochastic Modeling
E. Bostan, U. S. Kamilov, and M. Unser
IEEE Int. Symp. Biomedical Imaging (ISBI), pp. 880–883, Barcelona, Spain, 2012
@inproceedings{Bostan.etal2012, author={Bostan, E. and Kamilov, U. S. and Unser, M.}, title={Reconstruction of Biomedical Images and Sparse Stochastic Modeling}, booktitle={IEEE Int. Symp. Biomedical Imaging (ISBI)}, pages={880--883}, year={2012}, address={Barcelona, Spain}, doi={10.1109/isbi.2012.6235689} }MMSE Denoising of Sparse Lévy Processes via Message Passing
U. S. Kamilov, A. Amini, and M. Unser
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 3637–3640, Kyoto, Japan, 2012
@inproceedings{Kamilov.etal2012d, author={Kamilov, U. S. and Amini, A. and Unser, M.}, title={MMSE Denoising of Sparse Lévy Processes via Message Passing}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={3637--3640}, year={2012}, address={Kyoto, Japan}, doi={10.1109/icassp.2012.6288704} }Generalized Total Variation Denoising via Augmented Lagrangian Cycle Spinning with Haar Wavelets
U. S. Kamilov, E. Bostan, and M. Unser
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 909–912, Kyoto, Japan, 2012
@inproceedings{Kamilov.etal2012e, author={Kamilov, U. S. and Bostan, E. and Unser, M.}, title={Generalized Total Variation Denoising via Augmented Lagrangian Cycle Spinning with Haar Wavelets}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={909--912}, year={2012}, address={Kyoto, Japan}, doi={10.1109/icassp.2012.6288032} }Bayesian Denoising of Generalized Poisson Processes with Finite Rate of Innovation
A. Amini, U. S. Kamilov, and M. Unser
IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), pp. 3629–3632, Kyoto, Japan, 2012
@inproceedings{Amini.etal2012a, author={Amini, A. and Kamilov, U. S. and Unser, M.}, title={Bayesian Denoising of Generalized Poisson Processes with Finite Rate of Innovation}, booktitle={IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP)}, pages={3629--3632}, year={2012}, address={Kyoto, Japan}, doi={10.1109/icassp.2012.6288702} }
2011
Generalized Approximate Message Passing Estimation from Quantized Samples★
U. S. Kamilov, V. K. Goyal, and S. Rangan
IEEE 4th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), pp. 401–404, San Juan, Puerto Rico, 2011
CAMSAP 2011 Student Paper Award finalist
@inproceedings{Kamilov.etal2011, author={Kamilov, U. S. and Goyal, V. K. and Rangan, S.}, title={Generalized Approximate Message Passing Estimation from Quantized Samples}, booktitle={IEEE 4th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)}, pages={401--404}, year={2011}, address={San Juan, Puerto Rico}, doi={10.1109/camsap.2011.6136027} }Message-Passing Estimation from Quantized Samples
U. S. Kamilov, V. K. Goyal, and S. Rangan
4th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), p. 58, Edinburgh, UK, 2011
@inproceedings{Kamilov.etal2011a, author={Kamilov, U. S. and Goyal, V. K. and Rangan, S.}, title={Message-Passing Estimation from Quantized Samples}, booktitle={4th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS)}, pages={58}, year={2011}, address={Edinburgh, UK} }Optimal Quantization for Compressive Sensing under Message Passing Reconstruction
U. S. Kamilov, V. K. Goyal, and S. Rangan
IEEE Int. Symp. Inform. Theory (ISIT), pp. 390–394, Saint-Petersburg, Russia, 2011
@inproceedings{Kamilov.etal2011b, author={Kamilov, U. S. and Goyal, V. K. and Rangan, S.}, title={Optimal Quantization for Compressive Sensing under Message Passing Reconstruction}, booktitle={IEEE Int. Symp. Inform. Theory (ISIT)}, pages={390--394}, year={2011}, address={Saint-Petersburg, Russia}, doi={10.1109/ISIT.2011.6034168} }
Theses
- PhD Thesis
Inference-Time Scaling for Robust and Adaptive Computational Imaging
Y. Hu
PhD thesis, Washington University in St. Louis, St. Louis, MO, USA, 2026
Advisor: U. S. Kamilov
@phdthesis{Hu2026phd, author={Hu, Y.}, title={Inference-Time Scaling for Robust and Adaptive Computational Imaging}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2026}, advisor={Kamilov, U. S.}, doi={10.7936/t283-1553}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=2470&context=eng_etds} } - PhD Thesis
Computational Imaging Under Incomplete Information
W. Gan
PhD thesis, Washington University in St. Louis, St. Louis, MO, USA, 2025
Advisor: U. S. Kamilov
@phdthesis{Gan2025phd, author={Gan, W.}, title={Computational Imaging Under Incomplete Information}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2025}, advisor={Kamilov, U. S.}, doi={10.7936/0jqg-3c40}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=2358&context=eng_etds} } - MS Thesis
Adaptive Noise Estimation and Denoising with Deep Learning for NMR Spectroscopy
N. Asokan
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2025
Advisor: U. S. Kamilov
@mastersthesis{Asokan2025ms, author={Asokan, N.}, title={Adaptive Noise Estimation and Denoising with Deep Learning for {NMR} Spectroscopy}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2025}, advisor={Kamilov, U. S.}, doi={10.7936/mwe1-cg78}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=2266&context=eng_etds} } - MS Thesis
Learning-based MRI Reconstruction Method with Coil Sensitivity Estimation and Prior Adaptation
H. Zhang
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2025
Advisor: U. S. Kamilov
@mastersthesis{Zhang2025ms, author={Zhang, H.}, title={Learning-based {MRI} Reconstruction Method with Coil Sensitivity Estimation and Prior Adaptation}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2025}, advisor={Kamilov, U. S.}, doi={10.7936/a8gw-7d93}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=2267&context=eng_etds} } - PhD Thesis
Learning-based Artifacts Removal Priors for Computational Imaging★
J. Liu
PhD thesis, Washington University in St. Louis, St. Louis, MO, USA, 2024
Advisor: U. S. Kamilov
Outstanding Doctoral Dissertation Award, Electrical & Systems Engineering, WashU
@phdthesis{Liu2024phd, author={Liu, J.}, title={Learning-based Artifacts Removal Priors for Computational Imaging}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2024}, advisor={Kamilov, U. S.}, doi={10.7936/b39z-1716}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=2143&context=eng_etds} } - PhD Thesis
Model-based Deep Learning for Computational Imaging
X. Xu
PhD thesis, Washington University in St. Louis, St. Louis, MO, USA, 2023
Advisor: U. S. Kamilov
@phdthesis{Xu2023phd, author={Xu, X.}, title={Model-based Deep Learning for Computational Imaging}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2023}, advisor={Kamilov, U. S.}, doi={10.7936/ggek-kk68}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1987&context=eng_etds} } - MS Thesis
Investigating Applications of Deep Learning for Diagnosis of Post Traumatic Elbow Disease
H. James
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2022
Advisor: U. S. Kamilov
@mastersthesis{James2022ms, author={James, H.}, title={Investigating Applications of Deep Learning for Diagnosis of Post Traumatic Elbow Disease}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2022}, advisor={Kamilov, U. S.}, doi={10.7936/e82q-1e65}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1822&context=eng_etds} } - PhD Thesis
Integrating Physical Models and Deep Priors for Computational Imaging★
Y. Sun
PhD thesis, Washington University in St. Louis, St. Louis, MO, USA, 2022
Advisor: U. S. Kamilov
Turner Dissertation Award, Computer Science & Engineering, WashU
@phdthesis{Sun2022phd, author={Sun, Y.}, title={Integrating Physical Models and Deep Priors for Computational Imaging}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2022}, advisor={Kamilov, U. S.}, doi={10.7936/8hk3-b391}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1863&context=eng_etds} } - MS Thesis
Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth★
Y. Hu
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2022
Advisor: U. S. Kamilov
Outstanding Master's Research Award, Electrical & Systems Engineering, WashU
@mastersthesis{Hu2022ms, author={Hu, Y.}, title={Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel {MRI} without Ground Truth}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2022}, advisor={Kamilov, U. S.}, doi={10.7936/5qsm-fy77}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1754&context=eng_etds} } - MS Thesis
NeVR: Learning Continuous Neural Video Representation with Local Feature Codes for Video Interpolation
W. Shangguan
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2021
Advisor: U. S. Kamilov
@mastersthesis{Shangguan2021ms, author={Shangguan, W.}, title={{NeVR}: Learning Continuous Neural Video Representation with Local Feature Codes for Video Interpolation}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2021}, advisor={Kamilov, U. S.}, doi={10.7936/r51t-mq19}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1743&context=eng_etds} } - MS Thesis
Regularized Coordinate-based Neural Representation Learning for Optical Tomography
R. Liu
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2021
Advisor: U. S. Kamilov
@mastersthesis{Liu2021ms, author={Liu, R.}, title={Regularized Coordinate-based Neural Representation Learning for Optical Tomography}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2021}, advisor={Kamilov, U. S.}, doi={10.7936/3v1p-pb86}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1642&context=eng_etds} } - MS Thesis
Toward Practical Learning-Based Image Reconstruction Methods
W. Gan
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2020
Advisor: U. S. Kamilov
@mastersthesis{Gan2020ms, author={Gan, W.}, title={Toward Practical Learning-Based Image Reconstruction Methods}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2020}, advisor={Kamilov, U. S.}, doi={10.7936/emc4-jj77} } - MS Thesis
Regularized Fourier Ptychographic Microscopy
S. Xu
MS thesis, Washington University in St. Louis, St. Louis, MO, USA, 2019
Advisor: U. S. Kamilov
@mastersthesis{Xu2019ms, author={Xu, S.}, title={Regularized Fourier Ptychographic Microscopy}, school={Washington University in St. Louis}, address={St. Louis, MO, USA}, year={2019}, advisor={Kamilov, U. S.}, doi={10.7936/0k2s-5378}, pdf={https://repository.library.washu.edu/cgi/viewcontent.cgi?article=1473&context=eng_etds} } - PhD Thesis
Sparsity-Driven Statistical Inference for Inverse Problems★
U. S. Kamilov
PhD thesis, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2015
Advisor: M. Unser
EPFL Doctoral Thesis Award 2016 finalist
@phdthesis{Kamilov2015, author={Kamilov, U. S.}, title={Sparsity-Driven Statistical Inference for Inverse Problems}, school={École Polytechnique Fédérale de Lausanne (EPFL)}, address={Lausanne, Switzerland}, year={2015}, number={6545}, advisor={Unser, M.}, doi={10.5075/epfl-thesis-6545}, pdf={https://infoscience.epfl.ch/bitstreams/ee6c3022-3b68-4078-86b0-857bf86bfa23/download} }