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Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

5 November 2018
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
Alessandro Crimi
Russell Takeshi Shinohara
Christoph Berger
Sung Min Ha
Martin Rozycki
Marcel Prastawa
Esther Alberts
Jana Lipkova
John Freymann
J. Kirby
Michel Bilello
Hassan Fathallah-Shaykh
Roland Wiest
Jan Kirschke
Benedikt Wiestler
Rivka Colen
Aikaterini Kotrotsou
Pamela Lamontagne
Daniel S. Marcus
Mikhail Milchenko
Arash Nazeri
Marc-Andre Weber
Abhishek Mahajan
Ujjwal Baid
Elizabeth R Gerstner
Dongjin Kwon
Gagan Acharya
Manu Agarwal
Mahbubul Alam
Alberto Albiol
Antonio Albiol
Francisco J. Albiol
Varghese Alex
Nigel Allinson
Pedro H. A. Amorim
Abhijit Amrutkar
Ganesh Anand
Simon Andermatt
Tal Arbel
Pablo Arbelaez
Aaron Avery
Muneeza Azmat
Pranjal B.
W Bai
Subhashis Banerjee
Bill Barth
Thomas Batchelder
Kayhan Batmanghelich
Enzo Battistella
Andrew Beers
Mikhail Belyaev
Martin Bendszus
Eze Benson
Jose Bernal
Halandur Nagaraja Bharath
George Biros
Sotirios Bisdas
James Brown
Mariano Cabezas
Shilei Cao
Jorge M. Cardoso
Eric N Carver
Adrià Casamitjana
Laura Silvana Castillo
Marcel Catà
Philippe Cattin
Albert Cerigues
Vinicius S. Chagas
Siddhartha Chandra
Yi-Ju Chang
Shiyu Chang
Ken Chang
Joseph Chazalon
Shengcong Chen
Wei Chen
Jefferson W. Chen
Zhaolin Chen
Kun Cheng
Ahana Roy Choudhury
Roger Chylla
Albert Clérigues
Steven Colleman
Ramiro German Rodriguez Colmeiro
Marc Combalia
Anthony Costa
Xiaomeng Cui
Zhenzhen Dai
Lutao Dai
Laura Alexandra Daza
Eric Deutsch
Changxing Ding
Chao Dong
Shidu Dong
Wojciech Dudzik
Zach Eaton-Rosen
Gary Egan
Guilherme Escudero
Théo Estienne
Richard Everson
Jonathan Fabrizio
Yong-Xian Fan
Longwei Fang
Xue Feng
Enzo Ferrante
Lucas Fidon
Martin Fischer
Andrew P French
Naomi Fridman
Huan Fu
David T. Fuentes
Yaozong Gao
Evan Gates
David Gering
Amir Gholami
Willi Gierke
Ben Glocker
Biwei Huang
Sandra González-Villá
T. Grosges
Yuanfang Guan
Sheng Guo
Sudeep Gupta
Woo-Sup Han
Il Song Han
Konstantin Harmuth
Huiguang He
Aura Hernández-Sabaté
Evelyn Herrmann
Naveen Himthani
Winston H. Hsu
Cheyu Hsu
Xiaojun Hu
Xiaobin Hu
Yan Hu
Yifan Hu
Rui Hua
Teng-Yi Huang
Weilin Huang
Sabine Van Huffel
Quan Huo
Vivek HV
Khan M. Iftekharuddin
Fabian Isensee
Mobarakol Islam
Aaron S. Jackson
Sachin R. Jambawalikar
Andrew Jesson
Weijian Jian
Peter Jin
V Jeya Maria Jose
Alain Jungo
Bernhard Kainz
Konstantinos Kamnitsas
Po-Yu Kao
Ayush Karnawat
Thomas Kellermeier
Adel Kermi
Kurt Keutzer
Mohamed Tarek Khadir
Mahendra Khened
Philipp Kickingereder
Geena Kim
Nik King
Haley Knapp
Urspeter Knecht
Lisa Kohli
Deren Kong
Xiangmao Kong
Simon Koppers
Avinash Kori
Ganapathy Krishnamurthi
Egor Krivov
Piyush Kumar
Kaisar Kushibar
Dmitrii Lachinov
Tryphon Lambrou
Joon-Young Lee
Chengen Lee
Yuehchou Lee
M Lee
Szidonia Lefkovits
Laszlo Lefkovits
James Levitt
Tengfei Li
Hongwei Bran Li
Wenqi Li
Hongyang Li
Xiaochuan Li
Yuexiang Li
Heng Li
Zhenye Li
Xiaoyu Li
Zeju Li
XiaoGang Li
Wenqi Li
Zheng Lin
Fengming Lin
Pietro Lio
Chang Liu
Boqiang Liu
Xiang Liu
Mingyuan Liu
Ju Liu
Luyan Liu
Xavier Llado
Marc Moreno Lopez
Pablo Ribalta Lorenzo
Zhentai Lu
Lin Luo
Zhigang Luo
Jun Ma
A. Mahajan
Thomas Mackie
Anant Madabushi
Issam Mahmoudi
A. Nazeri
Pradipta Maji
C. P. Mammen
Andreas Mang
B. S. Manjunath
Michal Marcinkiewicz
Jingyu Sun
Stephen McKenna
Richard McKinley
Miriam Mehl
Sachin Mehta
Raghav Mehta
Raphael Meier
Christoph Meinel
Dorit Merhof
Craig Meyer
Robert Miller
Sushmita Mitra
Aliasgar Moiyadi
David Molina-Garcia
Miguel A. B. Monteiro
Grzegorz Mrukwa
Andriy Myronenko
Jakub Nalepa
Thuyen Ngo
Dongjin Kwon
Holly Ning
Chen Niu
Nicholas K Nuechterlein
Eric Oermann
Arlindo L. Oliveira
Diego D. C. Oliveira
Arnau Oliver
Alexander F. I. Osman
Yu-Nian Ou
Sebastien Ourselin
Nikos Paragios
Moo Sung Park
Brad Paschke
J. Gregory Pauloski
Kamlesh Pawar
Nick Pawlowski
Linmin Pei
Suting Peng
Silvio M. Pereira
Julian Perez-Beteta
Victor M. Perez-Garcia
Simon Pezold
Bao Pham
A. Albiol
Gemma Piella
G. N. Pillai
Marie Piraud
Maxim Pisov
Anmol Popli
Michael P. Pound
Reza Pourreza
Prateek Prasanna
Vesna Prkovska
Tony P. Pridmore
Santi Puch
Élodie Puybareau
Buyue Qian
Xu Qiao
Martin Rajchl
Swapnil Rane
Michael Rebsamen
Hongliang Ren
Xuhua Ren
Karthik Revanuru
Mina Rezaei
Oliver Rippel
Luis Carlos Rivera
Charlotte Robert
Bruce Rosen
Alex Varghese
Mohammed Safwan
Mostafa Salem
A. Albiol
Irina Sanchez
Irina Sánchez
Heitor M. Santos
Emmett Sartor
Dawid Schellingerhout
Klaudius Scheufele
Matthew R. Scott
Artur A. Scussel
Sara Sedlar
Juan Pablo Serrano-Rubio
N. Jon Shah
Nameetha Shah
Mazhar Shaikh
B. Pranjal
Zeina A. Shboul
Haipeng Shen
Dinggang Shen
LinLin Shen
Haocheng Shen
Aaron Avery
Feng Shi
Hyung Eun Shin
Hai Shu
Diana Sima
Matthew Sinclair
Orjan Smedby
James M. Snyder
Mohammadreza Soltaninejad
Guidong Song
Mehul Soni
Jean Stawiaski
Shashank Subramanian
Li Sun
Roger Sun
Jiawei Sun
Kay Sun
Yu Sun
Guoxia Sun
Shuang Sun
Yannick R Suter
Laszlo Szilagyi
Sanjay Talbar
Dacheng Tao
Dacheng Tao
Zhongzhao Teng
Siddhesh P. Thakur
Meenakshi H Thakur
Sameer Tharakan
Pallavi Tiwari
Guillaume Tochon
Tuan Tran
Yuhsiang M. Tsai
Kuan-Lun Tseng
T. Tuan
Vadim Turlapov
Nicholas J. Tustison
Maria Vakalopoulou
Sergi Valverde
Rami Vanguri
Evgeny Vasiliev
Jonathan Ventura
Luis Vera
Tom Vercauteren
C. A. Verrastro
Lasitha Vidyaratne
Verónica Vilaplana
Ajeet Vivekanandan
Guotai Wang
Qian Wang
Chiatse J. Wang
Weichung Wang
Duo Wang
Ruixuan Wang
Yuanyuan Wang
Chunliang Wang
Guotai Wang
Ning Wen
Xin Wen
Leon Weninger
Wolfgang Wick
Shaocheng Wu
Qiang Wu
Yihong Wu
Yong-quan Xia
Yanwu Xu
Xiaowen Xu
Peiyuan Xu
Tsai-Ling Yang
Xiaoping Yang
Hao Yang
Junlin Yang
Haojin Yang
Guang Yang
Hongdou Yao
Xujiong Ye
Changchang Yin
Brett Young-Moxon
Jinhua Yu
Xiangyu Yue
Songtao Zhang
Angela Zhang
Kun Zhang
Xuejie Zhang
Lichi Zhang
Xiaoyue Zhang
Yi Chang
Lei Zhang
Jianguo Zhang
Xiang Zhang
Tianhao Zhang
Sicheng Zhao
Yu Zhao
Xiaomei Zhao
Liang Zhao
Yefeng Zheng
Liming Zhong
Chenhong Zhou
Xiaobing Zhou
Fan Zhou
Hongtu Zhu
Jin Zhu
Ying Zhuge
Weiwei Zong
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern H. Menze
ArXivPDFHTML

Papers citing "Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge"

50 / 511 papers shown
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OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D
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Pseudo-label refinement using superpixels for semi-supervised brain
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Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation
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G. D. Caterina
J. Voisey
33
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ProgFed: Effective, Communication, and Computation Efficient Federated
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Sebastian U. Stich
Yang He
Mario Fritz
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36
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11 Oct 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence
  using Federated Evaluation
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
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Renato Umeton
Micah J. Sheller
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Johnu George
...
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Jason M. Johnson
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29 Sep 2021
Group Shift Pointwise Convolution for Volumetric Medical Image
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Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
Junjun He
Jin Ye
Cheng Li
Diping Song
Wanli Chen
Shanshan Wang
Lixu Gu
Yu Qiao
21
3
0
26 Sep 2021
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics
  and Latent Space Shape Features
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
Sveinn Pálsson
Stefano Cerri
Koen van Leemput
43
11
0
25 Sep 2021
Predicting survival of glioblastoma from automatic whole-brain and tumor
  segmentation of MR images
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
Sveinn Pálsson
Stefano Cerri
H. Poulsen
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21
13
0
25 Sep 2021
Self-supervised learning methods and applications in medical imaging
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178
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Patch-based Medical Image Segmentation using Matrix Product State Tensor
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35
2
0
15 Sep 2021
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised
  Anomaly Segmentation in Brain MRI
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI
M. Bengs
F. Behrendt
Julia Kruger
R. Opfer
Alexander Schlaefer
22
2
0
14 Sep 2021
A Joint Graph and Image Convolution Network for Automatic Brain Tumor
  Segmentation
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation
Camillo F. Saueressig
Adam Berkley
R. Munbodh
Ritambhara Singh
GNN
19
14
0
12 Sep 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
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Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSL
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63
86
0
09 Sep 2021
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
Subhashish Banerjee
Sushmita Mitra
L. Hall
22
2
0
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Looking at the whole picture: constrained unsupervised anomaly
  segmentation
Looking at the whole picture: constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
29
5
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01 Sep 2021
The University of California San Francisco Preoperative Diffuse Glioma
  MRI (UCSF-PDGM) Dataset
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Evan Calabrese
J. Villanueva-Meyer
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Spyridon Bakas
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14
81
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Systematic Clinical Evaluation of A Deep Learning Method for Medical
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24
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Medical Image Segmentation with 3D Convolutional Neural Networks: A
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58
83
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19 Aug 2021
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding
  BoxSupervision
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision
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Shaoan Xie
Kayhan Batmanghelich
OOD
29
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CaraNet: Context Axial Reverse Attention Network for Segmentation of
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Ange Lou
Shuyue Guan
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Murray H. Loew
150
193
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Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
D. Cahall
Ghulam Rasool
N. Bouaynaya
Hassan M. Fathallah-Shaykh
32
6
0
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Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical
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A. Razumov
Oleg Y. Rogov
Dmitry V. Dylov
38
9
0
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Triplet Contrastive Learning for Brain Tumor Classification
Triplet Contrastive Learning for Brain Tumor Classification
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26
3
0
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Automatic cerebral hemisphere segmentation in rat MRI with lesions via
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Juan Miguel Valverde
Artem Shatillo
Riccardo De Feo
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MedIm
32
7
0
04 Aug 2021
Region-wise Loss for Biomedical Image Segmentation
Region-wise Loss for Biomedical Image Segmentation
Juan Miguel Valverde
Jussi Tohka
15
5
0
03 Aug 2021
Projective Skip-Connections for Segmentation Along a Subset of
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Dmitrii Lachinov
Philipp Seeboeck
Julia Mai
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24
18
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02 Aug 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
Xi Guan
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Jianming Ye
Weiji Yang
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Weiwei Jiang
Xiaobo Lai
15
113
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Data synthesis and adversarial networks: A review and meta-analysis in
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Richard Osuala
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41
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Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
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OOD
29
15
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Modality Completion via Gaussian Process Prior Variational Autoencoders
  for Multi-Modal Glioma Segmentation
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
M. Hamghalam
Alejandro F. Frangi
Baiying Lei
Amber L. Simpson
25
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Federated Learning for Multi-Center Imaging Diagnostics: A Study in
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The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation
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The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Ujjwal Baid
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Adam Flanders
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Label noise in segmentation networks : mitigation must deal with bias
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Xin Zhang
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OOD
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