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)

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)

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)

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)

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)

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

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)

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)

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)

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)

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)

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

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

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

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)