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Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
v1v2v3 (latest)

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
Hyunjin Park
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 Menze
ArXiv (abs)PDFHTML

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

50 / 519 papers shown
Title
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers
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A Two-Stage Generative Model with CycleGAN and Joint Diffusion for
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A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection
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Zhuoxu Cui
Guanxu Cheng
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Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical
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A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework
  for Medical Image Segmentation
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
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DeepFDR: A Deep Learning-based False Discovery Rate Control Method for
  Neuroimaging Data
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
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49
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MRI brain tumor segmentation using informative feature vectors and kernel dictionary learning
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Compositional Representation Learning for Brain Tumour Segmentation
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HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and
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57
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Generating 3D Brain Tumor Regions in MRI using Vector-Quantization
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Matthias W. Wagner
U. Tabori
C. Hawkins
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Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
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Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology
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Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain
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Joint inversion of Time-Lapse Surface Gravity and Seismic Data for
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Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
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72
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Segment Anything Model for Brain Tumor Segmentation
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70
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AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image
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Xiang-Fei Wang
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102
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Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few
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69
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Tumor-Centered Patching for Enhanced Medical Image Segmentation
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64
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Disruptive Autoencoders: Leveraging Low-level features for 3D Medical
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145
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58
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Modality-Agnostic Learning for Medical Image Segmentation Using
  Multi-modality Self-distillation
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71
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62
5
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Måns Larsson
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60
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Cross-Modal Vertical Federated Learning for MRI Reconstruction
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Hong Wang
Yawen Huang
Nanjun He
Lei Zhu
Yuexiang Li
Yong Xu
Yefeng Zheng
OODFedML
109
22
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