v1v2 (latest)

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

18 October 2018

Guotai Wang

Wenqi Li

Sebastien Ourselin

Tom Vercauteren

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

26 / 26 papers shown

Title
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 133 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 288 1 0 25 Nov 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 76 30 0 10 Feb 2024
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 84 1 0 11 Aug 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 70 1 0 12 Feb 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu UQCV 84 4 0 01 Jan 2023
Learning from partially labeled data for multi-organ and tumor segmentation Yutong Xie Jianpeng Zhang Yong-quan Xia Chunhua Shen MedIm ViT 83 20 0 13 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 75 1 0 11 Nov 2022
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection Zhenyu Yang Kyle J. Lafata E. Vaios Zongsheng Hu Trey C Mullikin F. Yin Cong Wang 87 11 0 12 Oct 2022
Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand José Gerardo Suárez-García E. Moreno-Barbosa B. D. C. Alonso 45 0 0 15 Jul 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis Qing Lyu C. Whitlow Ge Wang UQCV BDL 90 2 0 20 Jan 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 242 1,177 0 07 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation Uddeshya Upadhyay Yanbei Chen Tobias Hepp S. Gatidis Zeynep Akata MedIm 81 24 0 29 Jun 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction R. Agravat M. Raval 81 22 0 26 Jan 2021
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation Ngan Le Kashu Yamazaki Dat T. Truong Kha Gia Quach Marios Savvides MedIm 63 20 0 03 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation Jianpeng Zhang Yutong Xie Yan Wang Yong-quan Xia SSeg MedIm 69 95 0 28 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 83 92 0 22 Oct 2020
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI Yingshui Tan Baihong Jin Xiangyu Yue Yuxin Chen Alberto L. Sangiovanni-Vincentelli 59 7 0 12 Jul 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction Snehal Rajput M. Raval 3DV 46 13 0 31 May 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation Mehrdad Noori Ali Bahri K. Mohammadi 3DV 48 97 0 04 Apr 2020
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification S. Zheng L. Cornelissen Xiaonan Cui Xueping Jing Raymond N. J. Veldhuis M. Oudkerk P. V. van Ooijen MedIm 22 33 0 13 Jan 2020
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization Xuhua Ren Lichi Zhang Qian Wang Dinggang Shen 29 11 0 25 Jun 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases Amit Kumar Jaiswal Ivan Panshin D. Shulkin Nagender Aneja Samuel Abramov SSL MedIm 57 23 0 23 Jun 2019
Hyperspectral Data Augmentation J. Nalepa Michal Myller M. Kawulok 54 20 0 13 Mar 2019
Cascaded V-Net using ROI masks for brain tumor segmentation Adrià Casamitjana Hugo J. Kuijf Bjoern Menze M. Reyes Verónica Vilaplana 71 196 0 30 Dec 2018
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 174 1,639 0 05 Nov 2018