Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

11 October 2019

Papers citing "Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation"

6 / 6 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
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features Sebastian Doerrich Francesco Di Salvo C. Ledig 38 3 0 29 Aug 2023
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation Amin Ranem John Kalkhof Caner Ozer Anirban Mukhopadhyay I. Oksuz 22 3 0 20 Sep 2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation Shaheer U. Saeed Wen Yan Yunguan Fu F. Giganti Qianye Yang ... Richard E. Fan G. Sonn M. Emberton D. Barratt Yipeng Hu 42 8 0 20 Feb 2022
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI Aniket Pramanik Xiaodong Wu M. Jacob 3DV 21 5 0 19 May 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 316 10,621 0 19 Feb 2017