Machine Learning in Magnetic Resonance Imaging: Image Reconstruction

9 December 2020

Papers citing "Machine Learning in Magnetic Resonance Imaging: Image Reconstruction"

5 / 5 papers shown

Title
Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction O. Jaubert Michele Pascale Javier Montalt-Tordera Julius Akesson Ruta Virsinskaite Dan Knight Simon Arridge J. Steeden V. Muthurangu 27 1 0 23 Nov 2023
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model Artem R. Muliukov Laurent Rodriguez Benoit Miramond 19 0 0 27 Jul 2023
Attention Hybrid Variational Net for Accelerated MRI Reconstruction Guoyao Shen Boran Hao Mengyu Li Chad W. Farris I. Paschalidis Stephan W. Anderson X. Zhang 25 2 0 21 Jun 2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation Shengyu Chen Shihang Feng Yao Huang Z. Lei Xiaowei Jia Youzuo Lin Estaben Rougier AI4CE 18 0 0 14 Jun 2023
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio' T. Leiner P. Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 30 87 0 23 Dec 2021