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
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator H. Aggarwal M. Jacob 15 8 0 29 Jan 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees Jiaming Liu Yu Sun Weijie Gan Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov FedML MedIm 15 30 0 22 Jan 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 19 5 0 12 Jan 2021
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective Shen Chen Mingwei Zhang Jiamin Cui Wei Yao CVBM 14 0 0 31 Dec 2020
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 26 315 0 15 Dec 2020
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 17 40 0 09 Dec 2020
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew Muckley Bruno Riemenschneider A. Radmanesh Sunwoo Kim Geunu Jeong ... Anuroop Sriram Zhengnan Huang N. Yakubova Yvonne W. Lui Florian Knoll OOD 13 45 0 09 Dec 2020
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme F. Picetti S. Mandelli Paolo Bestagini V. Lipari Stefano Tubaro 33 12 0 07 Dec 2020
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 14 47 0 30 Nov 2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging Marija Vella João F. C. Mota 16 4 0 29 Nov 2020
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery Mahmut Yurt Muzaffer Özbey S. Dar Berk Tınaz K. Oguz Tolga Çukur MedIm 33 29 0 27 Nov 2020
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning Kehan Qi Yu Gong Xinfeng Liu Xin Liu Hairong Zheng Shanshan Wang 14 3 0 27 Nov 2020
Joint Reconstruction and Calibration using Regularization by Denoising Mingyang Xie Yu Sun Jiaming Liu B. Wohlberg Ulugbek S. Kamilov 14 10 0 26 Nov 2020
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks Matthew T.C. Li L. Demanet Leonardo Zepeda-Núnez 14 7 0 24 Nov 2020
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR Burhaneddin Yaman C. Shenoy Zilin Deng S. Moeller Hossam El-Rewaidy R. Nezafat Mehmet Akçakaya MedIm 17 18 0 18 Nov 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Hua Huang Carola-Bibiane Schönlieb 19 34 0 18 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 21 101 0 09 Nov 2020
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking Burhaneddin Yaman S. A. Hosseini S. Moeller Mehmet Akçakaya AI4CE 12 4 0 26 Oct 2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging Wenqi Huang Ziwen Ke Zhuoxu Cui Jing Cheng Zhilang Qiu Sen Jia Leslie Ying Yanjie Zhu Dong Liang 42 69 0 26 Oct 2020
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms H. Aggarwal Aniket Pramanik Maneesh John M. Jacob 29 21 0 20 Oct 2020
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset Tong Zheng H. Oda M. Oda S. Nakamura M. Mori H. Takabatake H. Natori K. Mori OOD SupR 10 0 0 20 Oct 2020
Plug-and-Play Image Restoration with Deep Denoiser Prior K. Zhang Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 35 779 0 31 Aug 2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks Elizabeth K. Cole John M. Pauly S. Vasanawala Frank Ong GAN MedIm 12 50 0 29 Aug 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 27 69 0 29 Aug 2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 17 26 0 14 Aug 2020
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI Burhaneddin Yaman Hongyi Gu S. A. Hosseini Omer Burak Demirel S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 21 35 0 13 Aug 2020
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 9 11 0 04 Aug 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian V. Dalca M. Sabuncu 28 26 0 29 Jul 2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI Jinwei Zhang Hang Zhang Alan Q. Wang Qihao Zhang M. Sabuncu P. Spincemaille Thanh D. Nguyen Yi Wang 15 33 0 28 Jul 2020
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction C. Qin Jo Schlemper Kerstin Hammernik Jinming Duan Ronald M. Summers Daniel Rueckert 13 3 0 12 Jul 2020
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis Nalini Singh Juan Eugenio Iglesias E. Adalsteinsson Adrian V. Dalca Polina Golland 6 19 0 02 Jul 2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations Dongdong Chen Mike E. Davies Mohammad Golbabaee 6 16 0 27 Jun 2020
MRI Image Reconstruction via Learning Optimization Using Neural ODEs Eric Z. Chen Terrence Chen Shanhui Sun 27 23 0 24 Jun 2020
Supervised Learning of Sparsity-Promoting Regularizers for Denoising Michael T. McCann S. Ravishankar 8 8 0 09 Jun 2020
Regularization of Inverse Problems by Neural Networks Markus Haltmeier Linh V. Nguyen 18 18 0 06 Jun 2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging Tianming Du Honggang Zhang Yuemeng Li H. K. Song Yong-Xian Fan 21 2 0 02 Jun 2020
Low-Dose CT Image Denoising Using Parallel-Clone Networks Siqi Li Guobao Wang OOD 21 9 0 14 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks S. A. Hosseini Burhaneddin Yaman S. Moeller Mehmet Akçakaya 17 7 0 12 May 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction Nicola Pezzotti Sahar Yousefi M. Elmahdy J. V. Gemert C. Schulke ... Sergey Kastryulin B. Lelieveldt M. Osch E. Weerdt Marius Staring 8 97 0 15 Apr 2020
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution Eunju Cha Hyungjin Chung E. Kim J. C. Ye MedIm 28 0 0 29 Mar 2020
Review: Noise and artifact reduction for MRI using deep learning D. Tamada MedIm 16 9 0 28 Feb 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction Jiangpeng Yan Shuo Chen Yongbing Zhang Xiu Li 6 23 0 22 Feb 2020
Deep synthesis regularization of inverse problems D. Obmann Johannes Schwab Markus Haltmeier 13 11 0 01 Feb 2020
MRI Banding Removal via Adversarial Training Aaron Defazio Tullie Murrell M. Recht MedIm 10 16 0 23 Jan 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 19 208 0 06 Jan 2020
Learned SVD: solving inverse problems via hybrid autoencoding Y. Boink Christoph Brune 13 13 0 20 Dec 2019
An Unsupervised Deep Learning Method for Multi-coil Cine MRI Ziwen Ke Jing Cheng L. Ying Hairong Zheng Yanjie Zhu Dong Liang 20 0 0 20 Dec 2019
Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter M. Kachelriess M. Dewey Christian Wald C. Kolbitsch 19 1 0 19 Dec 2019
$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction Kerstin Hammernik Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Daniel Rueckert 24 24 0 18 Dec 2019