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
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications M. Zibetti Florian Knoll R. Regatte 21 17 0 27 Oct 2021
Memory-Augmented Deep Unfolding Network for Compressive Sensing Jie Song Bin Chen Jian Andrew Zhang 23 90 0 19 Oct 2021
Deep multi-modal aggregation network for MR image reconstruction with auxiliary modality Chun-Mei Feng H. Fu Tianfei Zhou Yong Xu Ling Shao David Zhang 27 9 0 15 Oct 2021
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning Alexander Lin Andrew H. Song Demba E. Ba 8 5 0 10 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 28 25 0 02 Oct 2021
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning Arjun D Desai Batu Mehmet Ozturkler Christopher M. Sandino R. Boutin M. Willis S. Vasanawala B. Hargreaves Christopher Ré John M. Pauly Akshay S. Chaudhari 19 3 0 30 Sep 2021
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework Chenwenbao Hu Cheng Li Haifeng Wang Qiegen Liu Hairong Zheng Shanshan Wang OOD 110 45 0 26 Sep 2021
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction Ruiyang Zhao Yuxin Zhang Burhaneddin Yaman M. Lungren M. Hansen MedIm 21 10 0 23 Sep 2021
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 41 14 0 20 Sep 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 41 41 0 17 Sep 2021
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig AI4CE 11 11 0 16 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 29 13 0 07 Sep 2021
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss Ke Wang Jonathan I. Tamir A. D. Goyeneche U. Wollner R. Brada Stella X. Yu Michael Lustig 13 18 0 27 Aug 2021
Deep MRI Reconstruction with Radial Subsampling George Yiasemis Chaoping Zhang C. Sánchez J. Sonke Jonas Teuwen 26 9 0 17 Aug 2021
Deep Algorithm Unrolling for Biomedical Imaging Yuelong Li Or Bar-Shira V. Monga Yonina C. Eldar SyDa 29 10 0 15 Aug 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik M. Keuper Michael Moeller 22 0 0 12 Aug 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks A. Razumov Oleg Y. Rogov Dmitry V. Dylov 35 9 0 10 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 39 321 0 03 Aug 2021
Dynamic Proximal Unrolling Network for Compressive Imaging Yixiao Yang R. Tao Kaixuan Wei Ying Fu 21 11 0 23 Jul 2021
Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network Yiran Wang Zhen Li 13 2 0 19 Jul 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu H. An Ulugbek S. Kamilov 18 12 0 12 Jul 2021
Multi-Modal Transformer for Accelerated MR Imaging Chun-Mei Feng Yu-bao Yan Geng Chen Yong Xu Ling Shao H. Fu MedIm ViT 29 104 0 27 Jun 2021
Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction Zhiqiang Gong Weien Zhou Jun Zhang Wei Peng W. Yao AI4CE 29 11 0 22 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 26 39 0 07 Jun 2021
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks Kuan Zhang Haoji Hu Kenneth A. Philbrick G. Conte Joseph D. Sobek Pouria Rouzrokh Bradley J. Erickson GAN MedIm 21 76 0 04 Jun 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry Martin Genzel Jan Macdonald M. März 10 4 0 01 Jun 2021
Learning a Model-Driven Variational Network for Deformable Image Registration Xi Jia A. Thorley Wei Chen Huaqi Qiu Linlin Shen ... A. Leonardis A. de Marvao D. O’Regan Daniel Rueckert Jinming Duan MedIm 26 29 0 25 May 2021
TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems Hai V. Nguyen T. Bui-Thanh PINN AI4CE 11 9 0 25 May 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas K. Maier OOD 15 11 0 19 May 2021
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI Aniket Pramanik Xiaodong Wu M. Jacob 3DV 11 5 0 19 May 2021
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction Jun Lv Guangyuan Li Xiangrong Tong Weibo Chen Jiahao Huang Chengyan Wang Guang Yang GAN DiffM MedIm 13 56 0 17 May 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 21 190 0 15 May 2021
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction Omer Burak Demirel Burhaneddin Yaman Logan T Dowdle S. Moeller L. Vizioli E. Yacoub J. Strupp C. Olman Kamil Uugurbil Mehmet Akccakaya 13 19 0 12 May 2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning Omer Burak Demirel Burhaneddin Yaman Logan T Dowdle S. Moeller L. Vizioli E. Yacoub J. Strupp C. Olman Kamil Uugurbil Mehmet Akccakaya 11 11 0 10 May 2021
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction Chun-Mei Feng Zhanyuan Yang Geng Chen Yong Xu Ling Shao 17 29 0 12 Apr 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI Y. Arefeen Onur Beker Jaejin Cho Heng Yu E. Adalsteinsson B. Bilgiç 26 31 0 02 Apr 2021
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond Zhishen Huang Siqi Ye Michael T. McCann S. Ravishankar MedIm 23 10 0 26 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 38 225 0 23 Mar 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 18 4 0 13 Mar 2021
Universal Undersampled MRI Reconstruction Xinwen Liu Jing Wang Feng Liu S.Kevin Zhou OOD 25 24 0 09 Mar 2021
Memory-efficient Learning for High-Dimensional MRI Reconstruction Ke Wang Michael R. Kellman Christopher M. Sandino Kevin Zhang S. Vasanawala Jonathan I. Tamir Stella X. Yu Michael Lustig MedIm 11 11 0 06 Mar 2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization Marius Arvinte S. Vishwanath Ahmed H. Tewfik Jonathan I. Tamir 14 38 0 02 Mar 2021
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data J. Ramírez J. I. M. Torre Henry Arguello 20 26 0 01 Mar 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations Chi Zhang Jinghan Jia Burhaneddin Yaman S. Moeller Sijia Liu Mingyi Hong Mehmet Akçakaya AAML 14 8 0 25 Feb 2021
Deep Unrolled Network for Video Super-Resolution Benjamin Naoto Chiche Arnaud Woiselle J. Frontera-Pons Jean-Luc Starck SupR 17 3 0 23 Feb 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 38 180 0 16 Feb 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 21 67 0 15 Feb 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll T. Pock UQCV BDL 17 49 0 12 Feb 2021
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR Aniket Pramanik M. Jacob 14 3 0 01 Feb 2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter C. Kolbitsch 3DV 16 24 0 01 Feb 2021