i-RIM applied to the fastMRI challenge

20 October 2019

Papers citing "i-RIM applied to the fastMRI challenge"

23 / 23 papers shown

Title
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction Ziqi Gao Wendi Yang Yujia Li Lei Xing S. Kevin Zhou 62 0 0 31 Oct 2024
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction T. Han S. Nebelung Firas Khader Jakob Nikolas Kather Daniel Truhn MedIm DiffM 62 1 0 23 Jun 2024
Recurrent Inference Machine for Medical Image Registration Yi Zhang Yidong Zhao Hui Xue Peter Kellman Stefan Klein Qian Tao OOD 75 0 0 19 Jun 2024
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation Samah Khawaled Moti Freiman UQCV 64 3 0 06 Apr 2024
MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model Student Member Ieee Ziqi Gao F. I. S. Kevin Zhou MedIm 66 3 0 16 Feb 2024
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems George Yiasemis N. Moriakov Jan-Jakob Sonke Jonas Teuwen 69 10 0 18 Sep 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 67 5 0 20 Jun 2023
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography A. Hauptmann Jenni Poimala MedIm 74 5 0 04 Apr 2023
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging Rafael Orozco M. Louboutin Felix J. Herrmann 24 3 0 24 Apr 2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction Zalan Fabian Berk Tinaz Mahdi Soltanolkotabi 76 53 0 15 Mar 2022
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI Xiaohan Liu Yanwei Pang Ruiqi Jin Yu Liu Zhenchang Wang 65 31 0 11 Mar 2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer Pengfei Guo Yiqun Mei Jinyuan Zhou Shanshan Jiang Vishal M. Patel ViT MedIm 150 70 0 23 Jan 2022
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 67 11 0 30 Nov 2021
Deep MRI Reconstruction with Radial Subsampling George Yiasemis Chaoping Zhang C. Sánchez Jan-Jakob Sonke Jonas Teuwen 119 9 0 17 Aug 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll Thomas Pock UQCV BDL 77 51 0 12 Feb 2021
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
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
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy J. V. Gemert C. Schulke ... Sergey Kastryulin B. Lelieveldt M. Osch E. Weerdt Marius Staring 70 100 0 15 Apr 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 94 318 0 14 Apr 2020
Learning to Predict Error for MRI Reconstruction Shi Hu Nicola Pezzotti Max Welling UQCV 75 14 0 13 Feb 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 150 214 0 06 Jan 2020
Invert to Learn to Invert P. Putzky Max Welling 71 76 0 25 Nov 2019