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Assessment of Deep Learning Segmentation for Real-Time Free-Breathing
  Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

23 November 2023
Martin Schilling
C. Unterberg-Buchwald
J. Lotz
M. Uecker
ArXivPDFHTML

Papers citing "Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress"

4 / 4 papers shown
Title
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Yundi Zhang
Paul Hager
Che Liu
Suprosanna Shit
C. L. P. Chen
Daniel Rueckert
Jiazhen Pan
38
0
0
17 Apr 2025
Towards a vision foundation model for comprehensive assessment of
  Cardiac MRI
Towards a vision foundation model for comprehensive assessment of Cardiac MRI
Athira J. Jacob
Indraneel Borgohain
T. Chitiboi
Puneet Sharma
D. Comaniciu
Daniel Rueckert
MedIm
26
4
0
02 Oct 2024
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
664
0
09 Nov 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1