Title
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning Ju He Adam Kortylewski Shaokang Yang Shuai Liu Cheng Yang Changhu Wang Alan Yuille 47 25 0 01 Jun 2021
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network Chun-Mei Feng Huazhu Fu Shuhao Yuan Yong Xu SupR 42 84 0 19 May 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 87 20 0 13 May 2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling Anadi Chaman Ivan Dokmanić 67 9 0 09 May 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 73 4 0 13 Mar 2021
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks Qingbin Liu Mehrdad Yaghoobi GAN MedIm 57 5 0 13 Mar 2021
Universal Undersampled MRI Reconstruction Xinwen Liu Jing Wang Feng Liu S.Kevin Zhou OOD 85 24 0 09 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 77 149 0 05 Mar 2021
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution A. Belov J. Stadelmann Sergey Kastryulin Dmitry V. Dylov 82 6 0 04 Mar 2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization Marius Arvinte S. Vishwanath Ahmed H. Tewfik Jonathan I. Tamir 92 38 0 02 Mar 2021
Prior Image-Constrained Reconstruction using Style-Based Generative Models Varun A. Kelkar M. Anastasio 75 30 0 24 Feb 2021
Equivariant neural networks for inverse problems E. Celledoni Matthias Joachim Ehrhardt Christian Etmann B. Owren Carola-Bibiane Schönlieb Ferdia Sherry MedIm AI4CE 83 27 0 23 Feb 2021
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks Jonas Denck J. Guehring Andreas Maier E. Rothgang MedIm GAN 41 9 0 17 Feb 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 103 183 0 16 Feb 2021
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization Aaron Defazio Samy Jelassi ODL 69 70 0 26 Jan 2021
GRAPPA-GANs for Parallel MRI Reconstruction Nader Tavaf A. Torfi K. Uğurbil P. Moortele 109 14 0 05 Jan 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction Zaccharie Ramzi Jean-Luc Starck P. Ciuciu 68 19 0 05 Jan 2021
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning S. Coban Vladyslav Andriiashen P. Ganguly Maureen van Eijnatten K. Batenburg 75 2 0 24 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 71 45 0 09 Dec 2020
Convex Regularization Behind Neural Reconstruction Arda Sahiner Morteza Mardani Batu Mehmet Ozturkler Mert Pilanci John M. Pauly 67 25 0 09 Dec 2020
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 106 104 0 01 Dec 2020
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 134 49 0 30 Nov 2020
Learning Multiscale Convolutional Dictionaries for Image Reconstruction Tianlin Liu Anadi Chaman David Belius Ivan Dokmanić 93 27 0 25 Nov 2020
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval Eunju Cha Chanseok Lee Mooseok Jang J. C. Ye 72 15 0 20 Nov 2020
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 81 14 0 16 Nov 2020
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations Youssef Beauferris Jonas Teuwen D. Karkalousos N. Moriakov M. Caan ... Mike Lasby N. Nogovitsyn W. Loos Richard Frayne Roberto Souza OOD 55 37 0 10 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 67 107 0 09 Nov 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models Francesco Calivá Kaiyang Cheng Rutwik Shah V. Pedoia OOD AAML MedIm 86 11 0 30 Oct 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 61 59 0 30 Oct 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 53 75 0 27 Oct 2020
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms H. Aggarwal Aniket Pramanik Maneesh John M. Jacob 171 22 0 20 Oct 2020
Dual Averaging is Surprisingly Effective for Deep Learning Optimization Samy Jelassi Aaron Defazio 56 5 0 20 Oct 2020
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge Zaccharie Ramzi P. Ciuciu Jean-Luc Starck 83 23 0 15 Oct 2020
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis Alain Jungo Olivier Scheidegger Mauricio Reyes F. Balsiger 63 39 0 07 Oct 2020
Hierarchical Deep Multi-modal Network for Medical Visual Question Answering D. Gupta S. Suman Asif Ekbal 59 61 0 27 Sep 2020
Towards learned optimal q-space sampling in diffusion MRI Tomer Weiss S. Vedula Ortal Senouf O. Michailovich A. Bronstein MedIm 36 3 0 07 Sep 2020
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium Student Member Ieee Muhammad Usman Ghani F. I. W. Clem Karl 135 17 0 31 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 78 71 0 29 Aug 2020
Powers of layers for image-to-image translation Hugo Touvron Matthijs Douze Matthieu Cord Hervé Jégou 65 3 0 13 Aug 2020
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI Jonathan Alush-Aben Linor Ackerman-Schraier Tomer Weiss S. Vedula Ortal Senouf A. Bronstein MedIm 103 15 0 11 Aug 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 91 26 0 29 Jul 2020
Active MR k-space Sampling with Reinforcement Learning Luis Villaseñor-Pineda Sumana Basu Adriana Romero Roberto Calandra M. Drozdzal 83 71 0 20 Jul 2020
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction C. Qin Jo Schlemper Kerstin Hammernik Jinming Duan Ronald M. Summers Daniel Rueckert 44 3 0 12 Jul 2020
Accelerated MRI with Un-trained Neural Networks Mohammad Zalbagi Darestani Reinhard Heckel 54 4 0 06 Jul 2020
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis Nalini Singh Juan Eugenio Iglesias E. Adalsteinsson Adrian Dalca Polina Golland 76 20 0 02 Jul 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 69 3 0 02 Jul 2020
MRI Image Reconstruction via Learning Optimization Using Neural ODEs Eric Z. Chen Terrence Chen Shanhui Sun 125 23 0 24 Jun 2020
Model-Aware Regularization For Learning Approaches To Inverse Problems Jaweria Amjad Zhaoyang Lyu M. Rodrigues MedIm 18 0 0 18 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 51 2 0 02 Jun 2020
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs Weimin Zhou Sayantan Bhadra F. Brooks Hua Li M. Anastasio MedIm 39 5 0 29 May 2020