Title
Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data Jan Nikolas Morshuis Matthias Hein Christian F. Baumgartner 36 0 0 26 Aug 2025
CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI Paul Fischer Jan Nikolas Morshuis Thomas Kustner Christian F. Baumgartner 80 0 0 20 Aug 2025
Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications Zelin Qiu Xi Wang Zhuoyao Xie Juan Zhou Yu Wang ... Neeraj Mahboobani V. Vardhanabhuti Xiaohui Duan Yinghua Zhao Hao Chen 69 0 0 10 Aug 2025
Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation Yasi Zhang Tianyu Chen Zhendong Wang Ying Nian Wu Mingyuan Zhou Oscar Leong DiffM 113 1 0 19 May 2025
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions Onat Dalmaz Arjun D Desai Reinhard Heckel Tolga Çukur Akshay Chaudhari B. Hargreaves 149 0 0 04 May 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review Yuezhe Yang Boyu Yang Yaqian Wang Yang He Xingbo Dong Zhe Jin 170 0 0 15 Apr 2025
nnInteractive: Redefining 3D Promptable Segmentation Hyunjin Park Maximilian R. Rokuss Lars Krämer Stefan Dinkelacker Ashis Ravindran ... Moritz Langenberg Constantin Ulrich Jonathan Deissler R. Floca Klaus H. Maier-Hein 252 27 0 11 Mar 2025
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale DiversificationAAAI Conference on Artificial Intelligence (AAAI), 2024 Yucong Meng Zhiwei Yang Yonghong Shi Zhijian Song 199 3 0 14 Dec 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 205 112 0 30 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Hwihun Jeong S. Chun Jongho Lee 180 3 0 16 Sep 2024
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling Ruiquan Ge Xiao Yu Yifei Chen Fan Jia Shenghao Zhu ... Dong Zeng Dong Zeng Qiegen Liu S. Niu Shanzhou Niu MedIm 172 5 0 11 Aug 2024
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions Jan Nikolas Morshuis Matthias Hein Christian F. Baumgartner 81 5 0 25 Jul 2024
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction Yamin Arefeen Brett Levac Zach Stoebner Jonathan I. Tamir MedIm 115 3 0 19 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 377 78 0 17 Jun 2024
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba Jiahao Huang Liutao Yang Fanwen Wang Yang Nan Weiwen Wu ... Kuangyu Shi Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang Mamba 113 0 0 27 May 2024
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging D. Karkalousos Ivana Išgum Henk A. Marquering M. Caan 94 0 0 30 Apr 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted DataInternational Conference on Learning Representations (ICLR), 2024 Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 233 24 0 13 Mar 2024
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training DataInternational Conference on Machine Learning (ICML), 2023 Kang Lin Reinhard Heckel OOD 125 7 0 16 Dec 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 233 29 0 19 Nov 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 193 5 0 05 Aug 2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction Paul Fischer Thomas Kustner Christian F. Baumgartner 148 10 0 04 Aug 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI ReconstructionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 Liping Zhang Xiaobo Li Weitian Chen 163 6 0 20 Jun 2023
Learning Task-Specific Strategies for Accelerated MRIIEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023 Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian Dalca Katherine Bouman 126 7 0 25 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 84 15 0 18 Apr 2023
DDM $^2$ : Self-Supervised Diffusion MRI Denoising with Generative Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Tiange Xiang Mahmut Yurt Ali B. Syed Kawin Setsompop Akshay S. Chaudhari MedIm DiffM 167 64 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 187 5 0 27 Jan 2023
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks Dave Van Veen Rogier van der Sluijs Batu Mehmet Ozturkler Arjun D Desai Christian Blüthgen ... Gordon Wetzstein David B. Lindell S. Vasanawala John M. Pauly Akshay S. Chaudhari SupR MedIm 143 7 0 17 Oct 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning J. Dominic Nandita Bhaskhar Arjun D Desai Andrew M Schmidt E. Rubin ... G. Gold B. Hargreaves L. Lenchik R. Boutin Akshay S. Chaudhari 97 0 0 14 Oct 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang D. C. Marshall Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 115 6 0 01 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate TrainingInternational Conference on Machine Learning (ICML), 2022 Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 189 105 0 01 Apr 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model samplingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Cheng-Fang Peng Pengfei Guo S. Kevin Zhou Vishal M. Patel Ramalingam Chellappa MedIm DiffM 128 109 0 08 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided NormalisationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Xinwen Liu Jing Wang Cheng-Fang Peng Shekhar S. Chandra Yifan Zhang S. Kevin Zhou OOD 128 6 0 07 Mar 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRIMachine Learning for Biomedical Imaging (MLBI), 2022 Thomas Yu T. Hilbert G. Piredda Arun A. Joseph G. Bonanno ... P. Omoumi Meritxell Bach Cuadra Erick Jorge Canales-Rodríguez Thomas Kober Jean-Philippe Thiran 111 6 0 29 Jan 2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent TransformerIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Pengfei Guo Yiqun Mei Jinyuan Zhou Shanshan Jiang Vishal M. Patel ViT MedIm 162 88 0 23 Jan 2022
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig AI4CE 98 11 0 16 Sep 2021
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problemsSIAM Review (SIAM Rev.), 2020 N. Gottschling Vegard Antun A. Hansen Ben Adcock 237 46 0 05 Jan 2020