Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis

3 September 2019

Papers citing "Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis"

6 / 6 papers shown

Title
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 130 1,631 0 05 Nov 2018
What do we need to build explainable AI systems for the medical domain? Andreas Holzinger Chris Biemann C. Pattichis D. Kell 66 689 0 28 Dec 2017
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach Xiao Yang Roland Kwitt Martin Styner Marc Niethammer 62 596 0 31 Mar 2017
Demystifying Neural Style Transfer Yanghao Li Naiyan Wang Jiaying Liu Xiaodi Hou 68 521 0 04 Jan 2017
The Importance of Skip Connections in Biomedical Image Segmentation M. Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury C. Pal MedIm 76 1,044 0 14 Aug 2016
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 135 1,283 0 22 Dec 2014