Title
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction Mevan Ekanayake Zhiwen Chen Mehrtash Harandi Gary Egan Zhaolin Chen 83 3 0 01 Jun 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods Tobit Klug Dogukan Atik Reinhard Heckel 68 8 0 30 May 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 90 33 0 29 May 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer 77 2 0 25 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data Bahjat Kawar Noam Elata T. Michaeli Michael Elad DiffM 145 31 0 22 May 2023
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics Rafael Orozco Ali Siahkoohi M. Louboutin Felix J. Herrmann 71 3 0 15 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 141 2 0 12 May 2023
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review Veronika Spieker H. Eichhorn Kerstin Hammernik Daniel Rueckert C. Preibisch D. Karampinos Julia A. Schnabel MedIm 83 37 0 11 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani Jiaming Song Jan Kautz Arash Vahdat DiffM 100 146 0 07 May 2023
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data Asad Aali Marius Arvinte Sidharth Kumar Jonathan I. Tamir DiffM MedIm 100 33 0 02 May 2023
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction Xiongchao Chen Zhigang Peng Gerardo Hermosillo Valadez 50 3 0 28 Apr 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian Dalca Katherine Bouman 60 4 0 25 Apr 2023
Fast MRI Reconstruction via Edge Attention Hanhui Yang Juncheng Li L. Lui Shihui Ying Jun Shi T. Zeng 52 7 0 22 Apr 2023
A Comparison of Image Denoising Methods Zhaoming Kong Fang Deng Haomin Zhuang Jun Yu Lifang He Xiaowei Yang 103 7 0 18 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 65 2 0 14 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 58 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 80 11 0 06 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 64 8 0 31 Mar 2023
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data Youssef Mansour Reinhard Heckel VLM 84 86 0 20 Mar 2023
Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review Yuda Bi MedIm 67 0 0 16 Mar 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling Hui Li Jinghan Jia Shijun Liang Yuguang Yao S. Ravishankar Sijia Liu 90 4 0 14 Mar 2023
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems Hyungjin Chung Suhyeon Lee Jong Chul Ye DiffM MedIm 83 80 0 10 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification Rafael Orozco M. Louboutin Ali Siahkoohi G. Rizzuti Tristan van Leeuwen Felix J. Herrmann OOD 73 13 0 06 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification Mevan Ekanayake Kamlesh Pawar Gary Egan Zhaolin Chen UQCV 50 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 76 18 0 18 Feb 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 86 1 0 17 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 127 92 0 16 Feb 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN S. Chatterjee Pavan Tummala Oliver Speck A. Nürnberger 64 10 0 09 Feb 2023
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal Yikang Liu Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun MedIm 64 1 0 06 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 132 5 0 27 Jan 2023
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI Zhifan Gao Yifeng Guo Jiajing Zhang T. Zeng Guang Yang MedIm 77 20 0 27 Jan 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction George Yiasemis Clara I. Sánchez Jan-Jakob Sonke Jonas Teuwen 91 17 0 20 Jan 2023
Learning-Rate-Free Learning by D-Adaptation Aaron Defazio Konstantin Mishchenko 110 85 0 18 Jan 2023
Large-scale Global Low-rank Optimization for Computational Compressed Imaging Daoyu Li Hanwen Xu Miao Cao Xin Yuan D. Brady Liheng Bian 40 0 0 08 Jan 2023
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging Yusheng Zhou Hao Li Tao Huang Zhengmin Kong Tao Huang Euijoon Ah Zhihan Lv Jinman Kim David Dagan Feng MedIm 87 1 0 04 Jan 2023
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction Daniel H. Pak Xiao Chen Eric Z. Chen Yikang Liu Terrence Chen Shanhui Sun 33 0 0 03 Jan 2023
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning Pu Yang Bin Dong OffRL AI4TS 63 0 0 05 Dec 2022
Deep unfolding as iterative regularization for imaging inverse problems Zhuoxu Cui Qingyong Zhu Jing Cheng Dong Liang 79 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 56 1 0 24 Nov 2022
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models Hyungjin Chung Dohoon Ryu Michael T. McCann M. Klasky J. C. Ye DiffM MedIm 98 113 0 19 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey Amirhossein Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu Dorit Merhof DiffM MedIm 135 397 0 14 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 84 13 0 28 Oct 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 47 5 0 26 Oct 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll Thomas Pock OOD MedIm DiffM 149 17 0 25 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 108 6 0 24 Oct 2022
E-Valuating Classifier Two-Sample Tests T. Pandeva Tim Bakker C. A. Naesseth Patrick Forré 78 12 0 24 Oct 2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging Zehao Wang H. Fang Chen Qian Boxuan Shi L. Bao ... Jianjun Zhou Wenping Wei Jianzhong Lin D. Guo X. Qu 95 10 0 23 Oct 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Dinggang Shen Terrence Chen Shanhui Sun 57 6 0 22 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 81 0 0 21 Oct 2022
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence Chen Qian Yuncheng Gao Mingyang Han Zi Wang Dan Ruan ... Meijin Lin D. Guo Jianjun Zhou Meiyun Wang Xiaobo Qu DiffM MedIm OOD 130 0 0 20 Oct 2022