Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review

11 May 2023

Papers citing "Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review"

7 / 7 papers shown

Title
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning H. Eichhorn Veronika Spieker Kerstin Hammernik Elisa Saks Lina Felsner K. Weiss C. Preibisch Julia A. Schnabel 39 0 0 24 Feb 2025
UniMo: Universal Motion Correction For Medical Images without Network Retraining Jian Wang Razieh Faghihpirayesh Danny Joca Polina Golland Ali Gholipour 37 0 0 03 Jan 2025
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation Qing Wu Chenhe Du Xuanyu Tian Jingyi Yu Yuyao Zhang Hongjiang Wei 29 0 0 25 Sep 2024
Motion correction in MRI using deep learning and a novel hybrid loss function Lei Zhang Xiaoke Wang Michael Rawson R. Balan E. Herskovits E. Melhem Linda Chang Ze Wang T. Ernst MedIm 27 12 0 19 Oct 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,140 0 10 Sep 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 111 663 0 24 Jan 2022
Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM) Qing Zou L. Torres S. Fain M. Jacob 16 15 0 21 Nov 2021