Automatic Brain Tumor Segmentation using Convolutional Neural Networks
with Test-Time Augmentation

Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation

18 October 2018

Guotai Wang

Sebastien Ourselin

Tom Kamiel Magda Vercauteren

Papers citing "Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation"

13 / 13 papers shown

Title
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 50 0 0 20 Jan 2025
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 89 1 0 25 Nov 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 11 29 0 10 Feb 2024
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 16 1 0 11 Aug 2023
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge Ke-Jia Chen Liangyan Li Huan Liu Yunzhe Li Congling Tang Jun Chen 28 14 0 25 Apr 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 25 1 0 12 Feb 2023
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 22 1 0 11 Nov 2022
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,109 0 07 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation Uddeshya Upadhyay Yanbei Chen Tobias Hepp S. Gatidis Zeynep Akata MedIm 12 25 0 29 Jun 2021
Inter-slice Context Residual Learning for 3D Medical Image Segmentation Jianpeng Zhang Yutong Xie Yan Wang Yong-quan Xia SSeg MedIm 24 88 0 28 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 18 90 0 22 Oct 2020
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 H. Menze 56 1,609 0 05 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015