A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent

9 February 2020

Papers citing "A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent"

8 / 8 papers shown

Title
A Gentle Introduction to Deep Learning in Medical Image Processing Andreas Maier Christopher Syben Tobias Lasser Christian Riess PINN 42 431 0 12 Oct 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 151 5,018 0 11 Apr 2018
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects Jian-Qing Zheng Xiao-Yun Zhou Qing-Biao Li C. Riga Guang-Zhong Yang 26 15 0 09 Apr 2018
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks Karen López-Linares Nerea Aranjuelo L. Kabongo G. Maclair Nerea Lete M. Ceresa Ainhoa García-Familiar I. Macía M. A. G. Ballester 38 132 0 01 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 362 7,955 0 17 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.7K 76,917 0 18 May 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 513 27,263 0 01 Sep 2014
Aorta Segmentation for Stent Simulation Jan Egger Bernd Freisleben R. Setser Rahul Renapuraar C. Biermann Thomas O'Donnell 79 51 0 09 Mar 2011