U. Kamilov

Most-cited papers

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications
U. Kamilov, C. Bouman, G. Buzzard, B. Wohlberg
2022IEEE Signal Processing Magazine220 citations Open access
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DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
Jiaming Liu, Rushil Anirudh, J. Thiagarajan, Stewart He +3 more
2022IEEE International Conference on Computer Vision151 citations Open access
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SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees
Jiaming Liu, Yu Sun, Wei-Jie Gan, Xiaojian Xu +2 more
2021IEEE Transactions on Computational Imaging42 citations Open access
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Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Samuel Hurault, U. Kamilov, Arthur Leclaire, N. Papadakis
2023Neural Information Processing Systems35 citations Open access
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Online Deep Equilibrium Learning for Regularization by Denoising
Jiaming Liu, Xiaojian Xu, Wei-Jie Gan, Shirin Shoushtari +1 more
2022Neural Information Processing Systems35 citations Open access
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SPICER: Self‐supervised learning for MRI with automatic coil sensitivity estimation and reconstruction
Yuyang Hu, Wei-Jie Gan, Chunwei Ying, Tong-Yao Wang +5 more
2022Magnetic Resonance in Medicine32 citations Open access
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Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction
Zhe-Hao Zhang, Jiaming Liu, De-Shan Yang, U. Kamilov +1 more
2022Medical Physics (Lancaster)29 citations Open access
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Deep Equilibrium Learning of Explicit Regularization Functionals for Imaging Inverse Problems
Zi-Hao Zou, Jiaming Liu, B. Wohlberg, U. Kamilov
2023IEEE Open Journal of Signal Processing27 citations Open access
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DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging
Hui-Dong Xie, Wei-Jie Gan, Bo Zhou, Xiongchao Chen +7 more
202324 citations
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A Restoration Network as an Implicit Prior
Yuyang Hu, M. Delbracio, P. Milanfar, U. Kamilov
2023International Conference on Learning Representations21 citations
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Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction
Wei-Jie Gan, Chunwei Ying, P. Boroojeni, Tong-Yao Wang +6 more
2023IEEE Transactions on Computational Imaging19 citations
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Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
Wen-Tao Shangguan, Yu Sun, Wei-Jie Gan, U. Kamilov
2022European Conference on Computer Vision19 citations Open access
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Learning‐based motion artifact removal networks for quantitative R2∗ mapping
Xiaojian Xu, Satya V. V. N. Kothapalli, Jiaming Liu, Sayan Kahali +3 more
2022Magnetic Resonance in Medicine19 citations
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Stochastic Deep Restoration Priors for Imaging Inverse Problems
Yuyang Hu, Albert Peng, Wei-Jie Gan, P. Milanfar +2 more
2024International Conference on Machine Learning18 citations
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Constrained Regularization by Denoising With Automatic Parameter Selection
Pasquale Cascarano, A. Benfenati, U. Kamilov, Xiaojian Xu
2023IEEE Signal Processing Letters18 citations Open access
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Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Wei-Jie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu +2 more
2023Neural Information Processing Systems17 citations Open access
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Deformation-Compensated Learning for Image Reconstruction without Ground Truth
Wei-Jie Gan, Yu Sun, C. Eldeniz, Jiaming Liu +2 more
2021IEEE Transactions on Medical Imaging16 citations Open access
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Dose-aware diffusion model for 3D PET image denoising: Multi-institutional validation with reader study and real low-dose data
Hui-Dong Xie, Wei-Jie Gan, R. Bayerlein, Bo Zhou +23 more
2024Medical Image Anal.15 citations Open access
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PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
Wei-Jie Gan, Qiuchen Zhai, Michael T. McCann, C. Cardona +2 more
2023IEEE Open Journal of Signal Processing15 citations Open access
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DOLPH: Diffusion Models for Phase Retrieval
Shirin Shoushtari, Jiaming Liu, U. Kamilov
2022arXiv.org14 citations Open access
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Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. S. Asif +1 more
2023International Conference on Machine Learning13 citations Open access
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A Plug-and-Play Image Registration Network
Junhao Hu, Wei-Jie Gan, Zhixin Sun, Hongyu An +1 more
2023International Conference on Learning Representations12 citations
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DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model
Yuyang Hu, Satya V. V. N. Kothapalli, Wei-Jie Gan, A. Sukstanskii +4 more
2023IEEE International Symposium on Biomedical Imaging12 citations Open access
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Measurement Score-Based Diffusion Model
Chicago Y. Park, Shirin Shoushtari, Hongyu An, U. Kamilov
2025arXiv.org10 citations
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Plug-and-Play Priors as a Score-Based Method
Chicago Y. Park, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona +2 more
2024International Conference on Information Photonics10 citations Open access
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Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa +1 more
2023International Conference on Learning Representations10 citations Open access
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Monotonically Convergent Regularization by Denoising
Yuyang Hu, Jiaming Liu, Xiaojian Xu, U. Kamilov
2022International Conference on Information Photonics10 citations
Semantic Scholar
Phase2Phase
C. Eldeniz, Wei-Jie Gan, Sihao Chen, Tyler J. Fraum +7 more
2021Investigative Radiology10 citations
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Gaussian Is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
Nebiyou Yismaw, U. Kamilov, M. S. Asif
2024IEEE Transactions on Computational Imaging9 citations Open access
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Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors
Shirin Shoushtari, Jiaming Liu, Yuyang Hu, U. Kamilov
2022IEEE Journal on Selected Areas in Information Theory9 citations Open access
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A Generalizable Diffusion Framework for 3D Low-Dose and Few-View Cardiac SPECT Imaging
Hui-Dong Xie, Wei-Jie Gan, Wei Ji, Xiongchao Chen +12 more
2025Medical Image Anal.8 citations Open access
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Multimodal Diffusion Bridge With Attention-Based SAR Fusion for Satellite Image Cloud Removal
Yuyang Hu, S. Lohit, U. Kamilov, Tim K. Marks
2025IEEE Transactions on Geoscience and Remote Sensing8 citations Open access
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CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction
Paul Goyes-Peñafiel, U. Kamilov, H. Arguello
2025IEEE Geoscience and Remote Sensing Letters8 citations
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Random Walks With Tweedie: A Unified View of Score-Based Diffusion Models [In the Spotlight]
Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, B. Wohlberg +1 more
2024IEEE Signal Processing Magazine8 citations
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Diffusion Models for Phase Retrieval in Computational Imaging
Shirin Shoushtari, Jiaming Liu, U. Kamilov
2023Asilomar Conference on Signals, Systems and Computers8 citations
Semantic Scholar
Bregman Plug-And-Play Priors
Abdullah H. Al-Shabili, Xiaojian Xu, I. Selesnick, U. Kamilov
2022International Conference on Information Photonics8 citations
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CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Xiaojian Xu, Wei-Jie Gan, Satya V. V. N. Kothapalli, D. Yablonskiy +1 more
2022Journal of Mathematical Imaging and Vision8 citations Open access
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Stochastic Generative Plug-and-Play Priors
Chicago Y. Park, Edward P. Chandler, Yuyang Hu, Michael T. McCann +3 more
2026arXiv.org7 citations
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EigenScore: OOD Detection using Covariance in Diffusion Models
Shirin Shoushtari, Yi Wang, Xiao Shi, M. S. Asif +1 more
2025arXiv.org7 citations
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FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
Matthieu Terris, U. Kamilov, Thomas Moreau
2024Computer Vision and Pattern Recognition7 citations Open access
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FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
Zihao Zou, Jiaming Liu, Shirin Shoushtari, Yu-Bo Wang +2 more
2023IEEE Workshop/Winter Conference on Applications of Computer Vision7 citations Open access
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Stochastic Deep Unfolding for Imaging Inverse Problems
Jiaming Liu, Yu Sun, Wei-Jie Gan, Xiaojian Xu +2 more
2021IEEE International Conference on Acoustics, Speech, and Signal Processing7 citations
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Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
Yuyang Hu, K. Mei, Mojtaba Sahraee-Ardakan, U. Kamilov +2 more
2025Neural Information Processing Systems6 citations
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Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Shirin Shoushtari, Edward P. Chandler, Yuan-Hao Wang, M. S. Asif +1 more
2025arXiv.org6 citations
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Random Walks with Tweedie: A Unified Framework for Diffusion Models
Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, B. Wohlberg +1 more
2024arXiv.org6 citations
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Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system.
Sihao Chen, C. Eldeniz, Tyler J. Fraum, D. Ludwig +6 more
2023Medical Physics (Lancaster)6 citations
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Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model
Jun-Hao Hu, Shirin Shoushtari, Zi-Hao Zou, Jiaming Liu +2 more
2022IEEE International Conference on Acoustics, Speech, and Signal Processing6 citations Open access
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MR-Assisted PET Respiratory Motion Correction Using Deep-Learning Based Short-Scan Motion Fields
Sihao Chen, Tyler J. Fraum, C. Eldeniz, J. Mhlanga +9 more
2022Magnetic Resonance in Medicine6 citations Open access
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Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach
Paul Goyes-Peñafiel, Edwin Vargas, Claudia V. Correa, Yu Sun +3 more
2022IEEE Transactions on Geoscience and Remote Sensing6 citations Open access
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SINCO: A Novel Structural Regularizer for Image Compression Using Implicit Neural Representations
Harry Gao, Wei-Jie Gan, Zhixin Sun, U. Kamilov
2022IEEE International Conference on Acoustics, Speech, and Signal Processing6 citations Open access
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