Generalized approximate message passing estimation from quantized samples. - Ulugbek Kamilov; Vivek K. Goyal; Sundeep Rangan (CAMSAP, 2011)

Optimal quantization for compressive sensing under message passing reconstruction. - Ulugbek Kamilov; Vivek K. Goyal; Sundeep Rangan (ISIT, 2011)

Message-Passing Estimation from Quantized Samples - Ulugbek Kamilov; Vivek K. Goyal; Sundeep Rangan (CoRR, 2011)

Bayesian denoising of generalized poisson processes with finite rate of innovation. - Arash Amini; Ulugbek Kamilov; Michael Unser (ICASSP, 2012)

MMSE denoising of sparse Lévy processes via message passing. - Ulugbek Kamilov; Arash Amini; Michael Unser (ICASSP, 2012)

Generalized total variation denoising via augmented Lagrangian cycle spinning with Haar wavelets. - Ulugbek Kamilov; Emrah Bostan; Michael Unser (ICASSP, 2012)

Reconstruction of biomedical images and sparse stochastic modeling. - Emrah Bostan; Ulugbek Kamilov; Michael Unser (ISBI, 2012)

The analog formulation of sparsity implies infinite divisibility and rules out Bernoulli-Gaussian priors. - Arash Amini; Ulugbek Kamilov; Michael Unser (ITW, 2012)

One-Bit Measurements With Adaptive Thresholds. - Ulugbek Kamilov; Aurélien Bourquard; Arash Amini; Michael Unser (IEEE Signal Process. Lett., 2012)

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising. - Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2012)

Message-Passing De-Quantization With Applications to Compressed Sensing. - Ulugbek Kamilov; Vivek K. Goyal; Sundeep Rangan (IEEE Trans. Signal Process., 2012)

Autocalibrated signal reconstruction from linear measurements using adaptive GAMP. - Ulugbek Kamilov; Aurélien Bourquard; Emrah Bostan; Michael Unser (ICASSP, 2013)

Benefits of consistency in image denoising with steerable wavelets. - Bugra Tekin; Ulugbek Kamilov; Emrah Bostan; Michael Unser (ICASSP, 2013)

Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning. - Abbas Kazerouni; Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2013)

Sparse Stochastic Processes and Discretization of Linear Inverse Problems. - Emrah Bostan; Ulugbek Kamilov; Masih Nilchian; Michael Unser (IEEE Trans. Image Process., 2013)

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes. - Arash Amini; Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Trans. Signal Process., 2013)

MMSE Estimation of Sparse Lévy Processes. - Ulugbek Kamilov; Pedram Pad; Arash Amini; Michael Unser (IEEE Trans. Signal Process., 2013)

Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems. - Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2014)

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning. - Ulugbek Kamilov; Sundeep Rangan; Alyson K. Fletcher; Michael Unser (IEEE Trans. Inf. Theory, 2014)

Extended target localization with total-variation denoising in through-the-wall-imaging. - Hiroyuki Handa; Hassan Mansour; Dehong Liu; Ulugbek S. Kamilov (CAMSAP, 2015)

Sparsity-driven distributed array imaging. - Dehong Liu; Ulugbek S. Kamilov; Petros T. Boufounos (CAMSAP, 2015)

Autocalibration of lidar and optical cameras via edge alignment. - Juan Castorena; Ulugbek S. Kamilov; Petros T. Boufounos (ICASSP, 2016)

Parallel proximal methods for total variation minimization. - Ulugbek S. Kamilov (ICASSP, 2016)

Multipath removal by online blind deconvolution in through-the-wall-imaging. - Hassan Mansour; Ulugbek S. Kamilov (ICASSP, 2016)

Depth superresolution using motion adaptive regularization. - Ulugbek S. Kamilov; Petros T. Boufounos (ICME Workshops, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

A Recursive Born Approach to Nonlinear Inverse Scattering. - Ulugbek S. Kamilov; Dehong Liu; Hassan Mansour; Petros T. Boufounos (IEEE Signal Process. Lett., 2016)

Learning Optimal Nonlinearities for Iterative Thresholding Algorithms. - Ulugbek S. Kamilov; Hassan Mansour (IEEE Signal Process. Lett., 2016)

Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization. - Ulugbek S. Kamilov; Ioannis N. Papadopoulos; Morteza H. Shoreh; Alexandre Goy 001; Cédric Vonesch; Michael Unser; Demetri Psaltis (IEEE Trans. Computational Imaging, 2016)

Compressive imaging with iterative forward models. - Hsiou-Yuan Liu; Ulugbek S. Kamilov; Dehong Liu; Hassan Mansour; Petros T. Boufounos (ICASSP, 2017)

Optical Tomography based on a nonlinear model that handles multiple scattering. - Morteza Hasani Shoreh; Alexandre Goy 001; JooWon Lim; Ulugbek Kamilov; Michael Unser; Demetri Psaltis (ICASSP, 2017)

Online convolutional dictionary learning for multimodal imaging. - Kévin Degraux; Ulugbek S. Kamilov; Petros T. Boufounos; Dehong Liu (ICIP, 2017)

Fusion of multi-angular aerial images based on epipolar geometry and matrix completion. - Yanting Ma; Dehong Liu; Hassan Mansour; Ulugbek S. Kamilov; Yuichi Taguchi; Petros T. Boufounos; Anthony Vetro (ICIP, 2017)

A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems. - Ulugbek S. Kamilov; Hassan Mansour; Brendt Wohlberg (IEEE Signal Process. Lett., 2017)

A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization. - Ulugbek S. Kamilov (IEEE Trans. Image Process., 2017)

Motion-Adaptive Depth Superresolution. - Ulugbek S. Kamilov; Petros T. Boufounos (IEEE Trans. Image Process., 2017)

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. - Sundeep Rangan; Alyson K. Fletcher; Philip Schniter; Ulugbek S. Kamilov (IEEE Trans. Inf. Theory, 2017)

Accelerated Image Reconstruction for Nonlinear Diffractive Imaging. - Yanting Ma; Hassan Mansour; Dehong Liu; Petros T. Boufounos; Ulugbek S. Kamilov (ICASSP, 2018)

Radar Autofocus Using Sparse Blind Deconvolution. - Hassan Mansour; Dehong Liu; Petros T. Boufounos; Ulugbek S. Kamilov (ICASSP, 2018)

Deepcasd: An End-to-End Approach for Multi-Spectral Image Super-Resolution. - Bihan Wen; Ulugbek S. Kamilov; Dehong Liu; Hassan Mansour; Petros T. Boufounos (ICASSP, 2018)

Robust Sensor Localization Based on Euclidean Distance Matrix. - Dehong Liu; Hassan Mansour; Petros T. Boufounos; Ulugbek Kamilov (IGARSS, 2018)

Efficient and accurate inversion of multiple scattering with deep learning. - Yu Sun 022; Zhihao Xia; Ulugbek S. Kamilov (CoRR, 2018)

Stability of Scattering Decoder For Nonlinear Diffractive Imaging. - Yu Sun 022; Ulugbek S. Kamilov (CoRR, 2018)

signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization. - Ulugbek S. Kamilov (CoRR, 2018)

Plug-In Stochastic Gradient Method. - Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2018)

Learning-Based Image Reconstruction via Parallel Proximal Algorithm. - Emrah Bostan; Ulugbek S. Kamilov; Laura Waller (IEEE Signal Process. Lett., 2018)

SEAGLE: Sparsity-Driven Image Reconstruction Under Multiple Scattering. - Hsiou-Yuan Liu; Dehong Liu; Hassan Mansour; Petros T. Boufounos; Laura Waller; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2018)

Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging. - Hassan Mansour; Dehong Liu; Ulugbek S. Kamilov; Petros T. Boufounos (IEEE Trans. Computational Imaging, 2018)

Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm. - Yu Sun 022; Shiqi Xu; Yunzhe Li 002; Lei Tian 005; Brendt Wohlberg; Ulugbek S. Kamilov (ICASSP, 2019)

Image Restoration Using Total Variation Regularized Deep Image Prior. - Jiaming Liu 001; Yu Sun 022; Xiaojian Xu 002; Ulugbek S. Kamilov (ICASSP, 2019)

SignProx: One-bit Proximal Algorithm for Nonconvex Stochastic Optimization. - Xiaojian Xu 002; Ulugbek S. Kamilov (ICASSP, 2019)

Online Regularization by Denoising with Applications to Phase Retrieval. - Zihui Wu; Yu Sun 022; Jiaming Liu 001; Ulugbek Kamilov (ICCV Workshops, 2019)

Plug-and-Play Priors for Reconstruction-Based Placental Image Registration. - Jiarui Xing; Ulugbek Kamilov; Wenjie Wu; Yong Wang; Miaomiao Zhang 002 (SUSI/PIPPI@MICCAI, 2019)

Infusing Learned Priors into Model-Based Multispectral Imaging. - Jiaming Liu 001; Yu Sun 022; Ulugbek S. Kamilov (CoRR, 2019)

An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. - Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2019)

Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth. - Weijie Gan; Cihat Eldeniz; Jiaming Liu 001; Sihao Chen; Hongyu An; Ulugbek S. Kamilov (ACSSC, 2020)

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling. - Xiaojian Xu 002; Jiaming Liu 001; Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (ACSSC, 2020)

Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization. - Tao Ge 002; Umberto Villa; Ulugbek S. Kamilov; Joseph A. O'Sullivan (Computational Imaging, 2020)

Scalable Plug-and-Play ADMM with Convergence Guarantees. - Yu Sun 022; Zihui Wu; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

Joint Reconstruction and Calibration using Regularization by Denoising. - Mingyang Xie; Yu Sun 022; Jiaming Liu 001; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth. - Jiaming Liu 001; Yu Sun 022; Cihat Eldeniz; Weijie Gan; Hongyu An; Ulugbek S. Kamilov (IEEE J. Sel. Top. Signal Process., 2020)

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. - Zihui Wu; Yu Sun 022; Alex Matlock; Jiaming Liu 001; Lei Tian 005; Ulugbek S. Kamilov (IEEE J. Sel. Top. Signal Process., 2020)

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network. - Guangxiao Song; Yu Sun 022; Jiaming Liu 001; Zhijie Wang 001; Ulugbek S. Kamilov (IEEE Signal Process. Lett., 2020)

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers. - Xiaojian Xu 002; Yu Sun 022; Jiaming Liu 001; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Signal Process. Lett., 2020)

Block Coordinate Regularization by Denoising. - Yu Sun 022; Jiaming Liu 001; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2020)

Stochastic Deep Unfolding for Imaging Inverse Problems. - Jiaming Liu 001; Yu Sun 022; Weijie Gan; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (ICASSP, 2021)

SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth. - Weijie Gan; Yuyang Hu; Cihat Eldeniz; Jiaming Liu 001; Yasheng Chen; Hongyu An; Ulugbek S. Kamilov (ICCVW, 2021)

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography. - Mingyang Xie; Jiaming Liu 001; Yu Sun 022; Weijie Gan; Brendt Wohlberg; Ulugbek S. Kamilov (ICCVW, 2021)

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. - Yu Sun 022; Jiaming Liu 001; Yiran Sun; Brendt Wohlberg; Ulugbek Kamilov (ICLR, 2021)

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth. - Weijie Gan; Yu Sun 022; Cihat Eldeniz; Jiaming Liu 001; Hongyu An; Ulugbek S. Kamilov (ISBI, 2021)

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition. - Jiaming Liu 001; M. Salman Asif; Brendt Wohlberg; Ulugbek Kamilov (NeurIPS, 2021)

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth. - Weijie Gan; Yu Sun 022; Cihat Eldeniz; Jiaming Liu 001; Hongyu An; Ulugbek S. Kamilov (CoRR, 2021)

Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements. - Renhao Liu; Yu Sun 022; Jiabei Zhu; Lei Tian 005; Ulugbek Kamilov (CoRR, 2021)

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees. - Jiaming Liu 001; Yu Sun 022; Weijie Gan; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging. - Yu Sun 022; Jiaming Liu 001; Mingyang Xie; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

Scalable Plug-and-Play ADMM With Convergence Guarantees. - Yu Sun 022; Zihui Wu; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

Learning Cross-Video Neural Representations for High-Quality Frame Interpolation. - Wentao Shangguan; Yu Sun 022; Weijie Gan; Ulugbek S. Kamilov (ECCV (15), 2022)

Bregman Plug-And-Play Priors. - Abdullah H. Al-Shabili; Xiaojian Xu 002; Ivan W. Selesnick; Ulugbek S. Kamilov (ICIP, 2022)

Monotonically Convergent Regularization by Denoising. - Yuyang Hu; Jiaming Liu 001; Xiaojian Xu 002; Ulugbek S. Kamilov (ICIP, 2022)

Online Deep Equilibrium Learning for Regularization by Denoising. - Jiaming Liu 001; Xiaojian Xu 002; Weijie Gan; Shirin Shoushtari; Ulugbek Kamilov (NeurIPS, 2022)

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees. - Weijie Gan; Chunwei Ying; Parna Eshraghi; Tongyao Wang; Cihat Eldeniz; Yuyang Hu; Jiaming Liu 001; Yasheng Chen; Hongyu An; Ulugbek S. Kamilov (CoRR, 2022)

DOLPH: Diffusion Models for Phase Retrieval. - Shirin Shoushtari; Jiaming Liu 001; Ulugbek S. Kamilov (CoRR, 2022)

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth. - Weijie Gan; Yu Sun 022; Cihat Eldeniz; Jiaming Liu 001; Hongyu An; Ulugbek S. Kamilov (IEEE Trans. Medical Imaging, 2022)

Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors. - Shirin Shoushtari; Jiaming Liu 001; Yuyang Hu; Ulugbek S. Kamilov (IEEE J. Sel. Areas Inf. Theory, 2022)

Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields. - Renhao Liu; Yu Sun 022; Jiabei Zhu; Lei Tian 005; Ulugbek S. Kamilov (Nat. Mac. Intell., 2022)

Diffusion Models for Phase Retrieval in Computational Imaging. - Shirin Shoushtari; Jiaming Liu 001; Ulugbek S. Kamilov (ACSSC, 2023)

Overcoming Distribution Shifts in Plug-and-Play Methods with Test- Time Training. - Edward P. Chandler; Shirin Shoushtari; Jiaming Liu 001; M. Salman Asif; Ulugbek S. Kamilov (CAMSAP, 2023)

Convergence of Nonconvex PNP-ADMM with MMSE Denoisers. - Chicago Y. Park; Shirin Shoushtari; Weijie Gan; Ulugbek S. Kamilov (CAMSAP, 2023)

SINCO: A Novel Structural Regularizer for Image Compression Using Implicit Neural Representations. - Harry Gao; Weijie Gan; Zhixin Sun; Ulugbek S. Kamilov (ICASSP, 2023)

Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model. - Junhao Hu; Shirin Shoushtari; Zihao Zou; Jiaming Liu 001; Zhixin Sun; Ulugbek S. Kamilov (ICASSP, 2023)

Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN. - Tomás Kerepecký; Jiaming Liu 001; Xue Wen Ng; David W. Piston; Ulugbek S. Kamilov (ICASSP, 2023)

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. - Jiaming Liu 001; Rushil Anirudh; Jayaraman J. Thiagarajan; Stewart He; K. Aditya Mohan; Ulugbek S. Kamilov; Hyojin Kim 001 (ICCV, 2023)

Block Coordinate Plug-and-Play Methods for Blind Inverse Problems. - Weijie Gan; Shirin Shoushtari; Yuyang Hu; Jiaming Liu 001; Hongyu An; Ulugbek Kamilov (NeurIPS, 2023)

Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. - Samuel Hurault; Ulugbek Kamilov; Arthur Leclaire; Nicolas Papadakis (NeurIPS, 2023)

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. - Weijie Gan; Qiuchen Zhai; Michael Thompson McCann; Cristina Garcia-Cardona; Ulugbek S. Kamilov; Brendt Wohlberg (CoRR, 2023)

A Structured Pruning Algorithm for Model-based Deep Learning. - Chicago Y. Park; Weijie Gan; Zihao Zou; Yuyang Hu; Zhixin Sun; Ulugbek S. Kamilov (CoRR, 2023)

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration. - Zihao Zou; Jiaming Liu 001; Shirin Shoushtari; Yubo Wang; Weijie Gan; Ulugbek S. Kamilov (CoRR, 2023)

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications. - Ulugbek S. Kamilov; Charles A. Bouman; Gregery T. Buzzard; Brendt Wohlberg (IEEE Signal Process. Mag., 2023)

Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction. - Weijie Gan; Chunwei Ying; Parna Eshraghi Boroojeni; Tongyao Wang; Cihat Eldeniz; Yuyang Hu; Jiaming Liu 001; Yasheng Chen; Hongyu An; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2023)

Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach. - Paul Goyes-Peñafiel; Edwin Vargas; Claudia V. Correa P.; Yu Sun 022; Ulugbek S. Kamilov; Brendt Wohlberg; Henry Arguello (IEEE Trans. Geosci. Remote. Sens., 2023)

Parameter-Efficient Adaptation for Computational Imaging. - Nebiyou Yismaw; Ulugbek S. Kamilov; M. Salman Asif (ICASSP, 2024)

A Restoration Network as an Implicit Prior. - Yuyang Hu; Mauricio Delbracio; Peyman Milanfar; Ulugbek Kamilov (ICLR, 2024)

A Plug-and-Play Image Registration Network. - Junhao Hu; Weijie Gan; Zhixin Sun; Hongyu An; Ulugbek Kamilov (ICLR, 2024)

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. - Marien Renaud; Jiaming Liu 001; Valentin De Bortoli; Andrés Almansa; Ulugbek Kamilov (ICLR, 2024)

Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis. - Shirin Shoushtari; Jiaming Liu 001; Edward P. Chandler; M. Salman Asif; Ulugbek S. Kamilov (ICML, 2024)

DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model. - Yuyang Hu; Satya V. V. N. Kothapalli; Weijie Gan; Alexander L. Sukstanskii; Gregory F. Wu; Manu Goyal; Dmitriy A. Yablonskiy; Ulugbek S. Kamilov (ISBI, 2024)

Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model. - Weijie Gan; Huidong Xie; Carl von Gall; Günther Platsch; Michael T. Jurkiewicz; Andrea Andrade; Udunna C. Anazodo; Ulugbek S. Kamilov; Hongyu An; Jorge Cabello (CoRR, 2024)

TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy. - Zihao Zou; Shirin Shoushtari; Jiaming Liu 001; Jialiang Zhang; Patrick Judge; Emilia Santana; Alison Lim; Marcus Foston; Ulugbek S. Kamilov (CoRR, 2024)

Random Walks with Tweedie: A Unified Framework for Diffusion Models. - Chicago Y. Park; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Plug-and-Play Priors as a Score-Based Method. - Chicago Y. Park; Yuyang Hu; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Constrained Regularization by Denoising With Automatic Parameter Selection. - Pasquale Cascarano; Alessandro Benfenati; Ulugbek S. Kamilov; Xiaojian Xu 002 (IEEE Signal Process. Lett., 2024)

Domain Expansion via Network Adaptation for Solving Inverse Problems. - Nebiyou Yismaw; Ulugbek S. Kamilov; M. Salman Asif (IEEE Trans. Computational Imaging, 2024)

FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems. - Matthieu Terris; Ulugbek S. Kamilov; Thomas Moreau 001 (CVPR, 2025)

A Self-Supervised Diffusion Bridge for MRI Reconstruction. - Harry Gao; Weijie Gan; Yuyang Hu; Hongyu An; Ulugbek S. Kamilov (ISBI, 2025)

Enhancing Seismic Post-stack Reconstruction with Diffusion Models: Addressing Uncertainty and Structural Complexity. - Paul Goyes-Peñafiel; Henry Arguello; Ulugbek S. Kamilov (SSP, 2025)

Plug-and-Play Posterior Sampling for Blind Inverse Problems. - Anqi Li; Weijie Gan; Ulugbek S. Kamilov (SSP, 2025)

Covariance-Corrected Diffusion Models for Solving Inverse Problems. - Nebiyou Yismaw; Ulugbek S. Kamilov; M. Salman Asif (SSP, 2025)

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration. - Zihao Zou; Jiaming Liu 001; Shirin Shoushtari; Yubo Wang; Ulugbek S. Kamilov (WACV, 2025)

CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction. - Paul Goyes-Peñafiel; Ulugbek S. Kamilov; Henry Arguello (IEEE Geosci. Remote. Sens. Lett., 2025)

A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging. - Huidong Xie; Weijie Gan; Wei Ji; Xiongchao Chen; Alaa Alashi; Stephanie Thorn; Bo Zhou 009; Qiong Liu; Menghua Xia; Xueqi Guo; Yi-Hwa Liu; Hongyu An; et al. (Medical Image Anal., 2025)

Gaussian Is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling. - Nebiyou Yismaw; Ulugbek S. Kamilov; M. Salman Asif (IEEE Trans. Computational Imaging, 2025)

RELD: Regularization by Latent Diffusion Models for Image Restoration. - Pasquale Cascarano; Lorenzo Stacchio; Andrea Sebastiani; Alessandro Benfenati; Ulugbek S. Kamilov; Gustavo Marfia (CoRR, 2025)

Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud Removal. - Yuyang Hu; Suhas Lohit; Ulugbek S. Kamilov; Tim K. Marks (CoRR, 2025)

Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning. - Chicago Y. Park; Weijie Gan; Zihao Zou; Yuyang Hu; Zhixin Sun; Ulugbek S. Kamilov (J. Math. Imaging Vis., 2025)

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping. - Xiaojian Xu 002; Weijie Gan; Satya V. V. N. Kothapalli; Dmitriy A. Yablonskiy; Ulugbek S. Kamilov (J. Math. Imaging Vis., 2025)

Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models. - Shirin Shoushtari; Edward P. Chandler; Yuanhao Wang 016; M. Salman Asif; Ulugbek S. Kamilov (CoRR, 2025)

Measurement Score-Based Diffusion Model. - Chicago Y. Park; Shirin Shoushtari; Hongyu An; Ulugbek S. Kamilov (CoRR, 2025)

Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration. - Yuyang Hu; Kangfu Mei; Mojtaba Sahraee-Ardakan; Ulugbek S. Kamilov; Peyman Milanfar; Mauricio Delbracio (CoRR, 2025)