Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty

14 November 2019

Papers citing "Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty"

6 / 6 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 269 1 0 25 Nov 2024
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 66 204 0 07 Jun 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 117 862 0 25 Feb 2019
DeepNeuro: an open-source deep learning toolbox for neuroimaging Andrew Beers James M. Brown Ken Chang K. Hoebel Elizabeth R Gerstner Bruce Rosen Jayashree Kalpathy-Cramer MedIm 39 39 0 14 Aug 2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 49 87 0 19 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015