Deep learning approach to left ventricular non-compaction measurement

30 November 2020

Papers citing "Deep learning approach to left ventricular non-compaction measurement"

6 / 6 papers shown

Title
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 105 683 0 09 Nov 2019
Boundary loss for highly unbalanced segmentation H. Kervadec Jihene Bouchtiba Christian Desrosiers Eric Granger Jose Dolz Ismail Ben Ayed 46 480 0 17 Dec 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 159 5,049 0 11 Apr 2018
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 117 2,146 0 11 Jul 2017
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 666 10,779 0 19 Feb 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 323 18,625 0 06 Feb 2015