MoDL: Model Based Deep Learning Architecture for Inverse Problems

7 December 2017

Papers citing "MoDL: Model Based Deep Learning Architecture for Inverse Problems"

50 / 344 papers shown

Title
DAGrid: Directed Accumulator Grid Hang Zhang Renjiu Hu Xiang Chen Rongguang Wang Jinwei Zhang Jiahao Nick Li MedIm 30 0 0 05 Jun 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 24 6 0 01 Jun 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction Mevan Ekanayake Z. Chen Mehrtash Harandi Gary Egan Zhaolin Chen 27 3 0 01 Jun 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems Hyungjin Chung Jeongsol Kim Jong Chul Ye DiffM 15 50 0 31 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 36 31 0 30 Apr 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian V. Dalca Katherine L. Bouman 30 4 0 25 Apr 2023
Fast MRI Reconstruction via Edge Attention Hanhui Yang Juncheng Li L. Lui Shihui Ying Jun Shi T. Zeng 15 7 0 22 Apr 2023
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL Aniket Pramanik Sampada Bhave S. Sajib Samir D. Sharma M. Jacob AI4CE OOD 23 2 0 21 Apr 2023
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography Yucheng Lu Zhixin Xu M. Choi Jimin Kim Seung‐Won Jung OOD 20 3 0 21 Apr 2023
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging R. Tibrewala T. Dutt A. Tong L. Ginocchio M. Keerthivasan ... S. Chopra Yvonne W. Lui D. Sodickson H. Chandarana Patricia M. Johnson 13 13 0 18 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI Zhuoxu Cui Chentao Cao Yue Wang Seng Jia Jing Cheng Xin Liu Hairong Zheng Dong Liang Yanjie Zhu MedIm DiffM 19 9 0 11 Apr 2023
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach Jiawei Jiang Yuchao Feng Honghui Xu Wanjun Chen Jian Zheng MedIm 6 10 0 06 Apr 2023
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL) Aniket Pramanik M. Jacob 19 2 0 03 Apr 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study Jiahao Huang Pedro F. Ferreira Lichao Wang Yinzhe Wu Angelica I. Aviles-Rivero ... R. Rajakulasingam Ranil De Silva D. Pennell S. Nielles-Vallespin Guang Yang DiffM 15 8 0 31 Mar 2023
DRIP: Deep Regularizers for Inverse Problems Moshe Eliasof E. Haber Eran Treister 12 7 0 30 Mar 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 27 4 0 15 Mar 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling Hui Li Jinghan Jia S. Liang Yuguang Yao S. Ravishankar Sijia Liu 21 4 0 14 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification Mevan Ekanayake Kamlesh Pawar Gary Egan Zhaolin Chen UQCV 13 0 0 28 Feb 2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction Bo Zhou Jo Schlemper Neel Dey Seyed Sadegh Mohseni Salehi Kevin Sheth Chi Liu James S. Duncan M. Sofka OOD 34 17 0 18 Feb 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 19 1 0 17 Feb 2023
Plug-and-Play Deep Energy Model for Inverse problems Jyothi Rikabh Chand M. Jacob 19 0 0 15 Feb 2023
MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction Tao Ge Maria Medrano R. Liao D. Politte J. Williamson B. Whiting Joseph O'Sullivan 3DV 15 1 0 01 Feb 2023
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI E. Martín-González E. Alskaf A. Chiribiri P. Casaseca-de-la-Higuera C. Alberola-López R. Nunes T. Correia MedIm 9 7 0 05 Jan 2023
Biomedical Image Reconstruction: A Survey Samuel Cahyawijaya 14 1 0 04 Jan 2023
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging Dominik Narnhofer Andreas Habring M. Holler T. Pock 17 14 0 23 Dec 2022
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction Guanxiong Luo Mengmeng Kuang Peng Cao 11 1 0 30 Nov 2022
Deep unfolding as iterative regularization for imaging inverse problems Zhuoxu Cui Qingyong Zhu Jing Cheng Dong Liang 32 5 0 24 Nov 2022
Iterative Data Refinement for Self-Supervised MR Image Reconstruction Xuechi Liu J. Zou Xiawu Zheng Cheng Li Hairong Zheng Shanshan Wang 13 1 0 24 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 13 26 0 22 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 10 51 0 20 Nov 2022
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images Theophil Trippe Martin Genzel Jan Macdonald M. März 26 1 0 18 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 22 2 0 06 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 24 10 0 02 Nov 2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping Jinwei Zhang P. Spincemaille Hang Zhang Thanh D. Nguyen Chao Li Jiahao Nick Li I. Kovanlikaya M. Sabuncu Yi Wang 21 9 0 01 Nov 2022
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu S. Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 51 4 0 01 Nov 2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging Z. Wang H. Fang Chen Qian Boxuan Shi L. Bao ... Jianjun Zhou Wenping Wei Jianzhong Lin D. Guo X. Qu 25 9 0 23 Oct 2022
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection Joshua Herman Rachel E. Roca Alexandra G. OÑeill M. L. Wong S. Lingala A. Pineda 24 0 0 21 Oct 2022
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation Rui-jun Feng Qing Wu Yuyao Zhang Hongjiang Wei 14 2 0 19 Oct 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen H. An Ulugbek S. Kamilov 35 4 0 07 Oct 2022
Learning Variational Models with Unrolling and Bilevel Optimization Christoph Brauer Niklas Breustedt T. Wolff D. Lorenz SSL 29 3 0 26 Sep 2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance C. Qin Daniel Rueckert 18 3 0 21 Sep 2022
Magnitude-image based data-consistent deep learning method for MRI super resolution Ziyan Lin Zihao Chen SupR MedIm 6 2 0 07 Sep 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction Hong Peng Chenbo Jiang Jing Cheng Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 39 17 0 15 Aug 2022
High-Frequency Space Diffusion Models for Accelerated MRI Chentao Cao Zhuoxu Cui Yue Wang Shaonan Liu Taijin Chen Hairong Zheng Dong Liang Yanjie Zhu DiffM MedIm 32 50 0 10 Aug 2022
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging J. Zou Cheng Li Seng Jia Ruo-Nan Wu Tingrui Pei Hairong Zheng Shanshan Wang 20 14 0 08 Aug 2022
Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing Wenxue Cui Shaohui Liu Debin Zhao 11 11 0 03 Aug 2022
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing Weiqi Li Bin Chen Jing Zhang 19 10 0 27 Jul 2022
Physics Embedded Machine Learning for Electromagnetic Data Imaging Rui Guo Tianyao Huang Maokun Li H. Zhang Yonina C. Eldar MedIm AI4CE 6 38 0 26 Jul 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction Mevan Ekanayake Kamlesh Pawar Mehrtash Harandi Gary Egan Zhaolin Chen ViT MedIm 19 7 0 18 Jul 2022
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction Batu Mehmet Ozturkler Arda Sahiner Tolga Ergen Arjun D Desai Christopher M. Sandino S. Vasanawala John M. Pauly Morteza Mardani Mert Pilanci 13 4 0 18 Jul 2022