Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine
MRI: Preserving the Temporal Coherence of Cardiac Motion

Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion

20 October 2018

Yuanyuan Wang

Papers citing "Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion"

6 / 6 papers shown

Title
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation R. Mendel Tobias Rueckert Dirk Wilhelm Daniel Rueckert Christoph Palm 36 0 0 05 Mar 2024
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 25 1,044 0 02 Nov 2020
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation Tianchen Wang Xiaowei Xu Jinjun Xiong Qianjun Jia Haiyun Yuan Meiping Huang Jian Zhuang Yiyu Shi 14 21 0 18 Jul 2020
Deep learning for cardiac image segmentation: A review Chia-Ju Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 674 0 09 Nov 2019
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow Ben Green H. Delingette N. Ayache 30 83 0 08 Nov 2018
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 334 10,621 0 19 Feb 2017