Image Restoration Using Total Variation Regularized Deep Image Prior. - Jiaming Liu 001; Yu Sun 022; 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)

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

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)