Joint Motion Correction and Super Resolution for Cardiac Segmentation
via Latent Optimisation

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

8 July 2021

Shuo Wang

Daniel Rueckert

Papers citing "Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation"

12 / 12 papers shown

Title
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond Yundi Zhang Paul Hager Che Liu Suprosanna Shit Chong Chen Daniel Rueckert Jiazhen Pan 93 1 0 17 Apr 2025
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders Agostina J. Larrazabal Cesar E. Martínez Ben Glocker Enzo Ferrante 96 66 0 24 Jun 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chen Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 50 28 0 23 Jun 2020
Cardiac Segmentation with Strong Anatomical Guarantees Nathan Painchaud Youssef Skandarani Thierry Judge Olivier Bernard A. Lalande Pierre-Marc Jodoin 56 101 0 15 Jun 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 240 551 0 08 Mar 2020
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 71 1,439 0 16 Feb 2019
To learn image super-resolution, use a GAN to learn how to do image degradation first Adrian Bulat J. Yang Georgios Tzimiropoulos SupR 56 352 0 30 Jul 2018
MR image reconstruction using deep density priors K. Tezcan Christian F. Baumgartner R. Luechinger K. Pruessmann E. Konukoglu 55 137 0 30 Nov 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas M. Heinrich Wenjia Bai ... T. Dawes D. O’Regan Bernhard Kainz Ben Glocker Daniel Rueckert 54 657 0 22 May 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 91 1,533 0 28 Apr 2017
A Combined Deep-Learning and Deformable-Model Approach to Fully Automatic Segmentation of the Left Ventricle in Cardiac MRI M. Avendi A. Kheradvar Hamid Jafarkhani 58 565 0 25 Dec 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 148 8,077 0 31 Dec 2014