Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution
to the BRATS 2017 Challenge

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

28 February 2018

Philipp Kickingereder

Martin Bendszus

Klaus H. Maier-Hein

Papers citing "Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge"

12 / 112 papers shown

Title
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss Shuman Jia A. Despinasse Zihao Wang H. Delingette Xavier Pennec P. Jaïs H. Cochet Maxime Sermesant 18 46 0 06 Dec 2018
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network Bora Baydar Savas Ozkan G. Akar GAN MedIm 13 0 0 28 Nov 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 H. Menze 56 1,609 0 05 Nov 2018
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function Xiaobin Hu Hongwei Bran Li Yu Zhao Chao Dong Bjoern H. Menze Marie Piraud 26 19 0 22 Oct 2018
A Novel Domain Adaptation Framework for Medical Image Segmentation A. Gholami Shashank Subramanian Varun Shenoy Naveen Himthani Xiangyu Yue Sicheng Zhao Peter H. Jin George Biros Kurt Keutzer MedIm 32 50 0 11 Oct 2018
Glioma Segmentation with Cascaded Unet Dmitrii Lachinov Evgeny Vasiliev Vadim Turlapov 18 54 0 09 Oct 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei Haojin Yang Christoph Meinel GAN SSeg MedIm 22 21 0 09 Oct 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 35 772 0 27 Sep 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 28 395 0 27 Sep 2018
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context Pawel Mlynarski H. Delingette A. Criminisi N. Ayache MedIm 3DV 11 105 0 23 Jul 2018
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction Po-Yu Kao Thuyen Ngo Angela Zhang Jefferson W. Chen B. S. Manjunath 15 84 0 20 Jul 2018
Autofocus Layer for Semantic Segmentation Yao Qin Konstantinos Kamnitsas Siddharth Ancha Jay Nanavati G. Cottrell A. Criminisi A. Nori SSeg MedIm 24 111 0 22 May 2018