Title
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions Onat Dalmaz Arjun D Desai Reinhard Heckel Tolga Çukur Akshay Chaudhari B. Hargreaves 29 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 38 0 0 15 Apr 2025
nnInteractive: Redefining 3D Promptable Segmentation Fabian Isensee Maximilian R. Rokuss Lars Krämer Stefan Dinkelacker Ashis Ravindran ... Moritz Langenberg Constantin Ulrich Jonathan Deissler R. Floca Klaus H. Maier-Hein 61 2 0 11 Mar 2025
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification Yucong Meng Zhiwei Yang Yonghong Shi Zhijian Song 85 2 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 46 39 0 30 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 38 2 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 48 3 0 11 Aug 2024
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions Jan Nikolas Morshuis Matthias Hein Christian F. Baumgartner 25 0 0 25 Jul 2024
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction Y. Arefeen Brett Levac Zach Stoebner Jonathan I. Tamir MedIm 21 1 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 82 33 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 46 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 43 0 0 30 Apr 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 64 12 0 13 Mar 2024
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data Kang Lin Reinhard Heckel OOD 32 5 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 35 18 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 33 5 0 05 Aug 2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction Paul Fischer Thomas Kustner Christian F. Baumgartner 29 8 0 04 Aug 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 34 5 0 20 Jun 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian V. Dalca Katherine Bouman 35 4 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 13 13 0 18 Apr 2023
DDM $^2$ : Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models Tiange Xiang Mahmut Yurt Ali B. Syed Kawin Setsompop Akshay S. Chaudhari MedIm DiffM 33 54 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 36 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 23 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 15 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 Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 39 3 0 01 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 22 87 0 01 Apr 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling Cheng-Fang Peng Pengfei Guo S. Kevin Zhou Vishal M. Patel Ramalingam Chellappa MedIm DiffM 30 92 0 08 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation Xinwen Liu Jing Wang Cheng-Fang Peng Shekhar S. Chandra Feng Liu S. Kevin Zhou OOD 21 6 0 07 Mar 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI 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 29 5 0 29 Jan 2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer Pengfei Guo Yiqun Mei Jinyuan Zhou Shanshan Jiang Vishal M. Patel ViT MedIm 91 65 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 21 11 0 16 Sep 2021
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 24 31 0 05 Jan 2020