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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
Mingming Gong
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-Shen 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
Steven G. McDonagh
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-Yu 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-Ju 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 / 510 papers shown
Title
DR-Unet104 for Multimodal MRI brain tumor segmentation
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman
Lei Zhang
Wenting Duan
Xujiong Ye
6
20
0
04 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep
  Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
OOD
MedIm
8
41
0
03 Nov 2020
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
21
1,040
0
02 Nov 2020
nnU-Net for Brain Tumor Segmentation
nnU-Net for Brain Tumor Segmentation
Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Vollmuth
Klaus H. Maier-Hein
9
292
0
02 Nov 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net
  neural networks: a BraTS 2020 challenge solution
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution
T. Henry
Alexandre Carré
Marvin Lerousseau
Théo Estienne
C. Robert
Nikos Paragios
Eric Deutsch
12
75
0
30 Oct 2020
Brain Tumor Segmentation Network Using Attention-based Fusion and
  Spatial Relationship Constraint
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint
Chenyu Liu
Wangbin Ding
Lei Li
Zhen Zhang
Chenhao Pei
Liqin Huang
Xiahai Zhuang
20
25
0
29 Oct 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
26
324
0
28 Oct 2020
Impact of Spherical Coordinates Transformation Pre-processing in Deep
  Convolution Neural Networks for Brain Tumor Segmentation and Survival
  Prediction
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction
C. Russo
Sidong Liu
A. Di Ieva
12
15
0
27 Oct 2020
Optimization for Medical Image Segmentation: Theory and Practice when
  evaluating with Dice Score or Jaccard Index
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index
Tom Eelbode
J. Bertels
Maxim Berman
Dirk Vandermeulen
F. Maes
R. Bisschops
Matthew B. Blaschko
12
255
0
26 Oct 2020
Does anatomical contextual information improve 3D U-Net based brain
  tumor segmentation?
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?
Iulian Emil Tampu
Neda Haj-Hosseini
Anders Eklund
33
9
0
26 Oct 2020
What is the best data augmentation for 3D brain tumor segmentation?
What is the best data augmentation for 3D brain tumor segmentation?
M. Cirillo
David Abramian
Anders Eklund
14
4
0
26 Oct 2020
Context Aware 3D UNet for Brain Tumor Segmentation
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad
Saqib Qamar
Linlin Shen
Adnan Saeed
SSeg
16
34
0
25 Oct 2020
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma
  Segmentation in MRI Scans
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
M. Hamghalam
Baiying Lei
Tianfu Wang
MedIm
12
15
0
20 Oct 2020
Modality-Pairing Learning for Brain Tumor Segmentation
Modality-Pairing Learning for Brain Tumor Segmentation
Yixin Wang
Yao Zhang
Feng Hou
Yang Liu
Jiang Tian
Cheng Zhong
Yang Zhang
Zhiqiang He
61
66
0
19 Oct 2020
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Xiaoman Zhang
Shixiang Feng
Yuhang Zhou
Ya-Qin Zhang
Yanfeng Wang
11
17
0
13 Oct 2020
Assessing Lesion Segmentation Bias of Neural Networks on Motion
  Corrupted Brain MRI
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI
T. Mathai
Yi Wang
N. Cross
MedIm
14
2
0
12 Oct 2020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image
  and Volumetric Segmentation
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Jeya Maria Jose Valanarasu
Vishwanath A. Sindagi
I. Hacihaliloglu
Vishal M. Patel
SSeg
12
167
0
04 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
25
544
0
28 Sep 2020
Enhancing MRI Brain Tumor Segmentation with an Additional Classification
  Network
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
Hieu T. Nguyen
T. Le
T. Nguyen
N. T. Nguyen
8
20
0
25 Sep 2020
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Laura Mora Ballestar
Verónica Vilaplana
24
8
0
24 Sep 2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning
Label-Efficient Multi-Task Segmentation using Contrastive Learning
J. Iwasawa
Y. Hirano
Yohei Sugawara
6
9
0
23 Sep 2020
Brain tumour segmentation using cascaded 3D densely-connected U-net
Brain tumour segmentation using cascaded 3D densely-connected U-net
M. Ghaffari
Arcot Sowmya
Ruth Oliver
3DV
15
10
0
16 Sep 2020
Synthesizing brain tumor images and annotations by combining progressive
  growing GAN and SPADE
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE
Mehdi Foroozandeh
Anders Eklund
GAN
MedIm
19
17
0
13 Sep 2020
Learning joint segmentation of tissues and brain lesions from
  task-specific hetero-modal domain-shifted datasets
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
R. Dorent
Thomas C Booth
Wenqi Li
Carole H. Sudre
S. Kafiabadi
M. Jorge Cardoso
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
10
25
0
08 Sep 2020
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
R. Agravat
M. Raval
13
28
0
25 Aug 2020
A Deep Network for Joint Registration and Reconstruction of Images with
  Pathologies
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Xu Han
Zhengyang Shen
Zhenlin Xu
Spyridon Bakas
H. Akbari
Michel Bilello
Christos Davatzikos
Marc Niethammer
MedIm
27
12
0
17 Aug 2020
First U-Net Layers Contain More Domain Specific Information Than The
  Last Ones
First U-Net Layers Contain More Domain Specific Information Than The Last Ones
B. Shirokikh
Ivan Zakazov
A. Chernyavskiy
Irina Fedulova
Mikhail Belyaev
OOD
9
19
0
17 Aug 2020
Spherical coordinates transformation pre-processing in Deep Convolution
  Neural Networks for brain tumor segmentation in MRI
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI
C. Russo
Sidong Liu
A. Di Ieva
17
22
0
17 Aug 2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level
  Interpretability
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
Avinash Kori
Parth Natekar
Ganapathy Krishnamurthi
Balaji Srinivasan
10
8
0
14 Aug 2020
Uncertainty Quantification using Variational Inference for Biomedical
  Image Segmentation
Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
Abhinav Sagar
UQCV
6
16
0
12 Aug 2020
Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic
  and Molecular MR Images in Patients with Post-treatment Malignant Gliomas
Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas
Pengfei Guo
Puyang Wang
R. Yasarla
Jinyuan Zhou
Vishal M. Patel
Shanshan Jiang
MedIm
11
1
0
06 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
38
624
0
02 Aug 2020
Comparative study of deep learning methods for the automatic
  segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Sofie Tilborghs
Ine Dirks
Lucas Fidon
S. Willems
Tom Eelbode
...
D. Robben
D. Smeets
F. Maes
Jef Vandemeulebroucke
P. Suetens
OOD
24
28
0
29 Jul 2020
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary
  Supervised Deep Adversarial Learning
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning
Mobarakol Islam
Daniel Anojan Atputharuban
Ravikiran Ramesh
Hongliang Ren
MedIm
73
94
0
22 Jul 2020
A Computation-Efficient CNN System for High-Quality Brain Tumor
  Segmentation
A Computation-Efficient CNN System for High-Quality Brain Tumor Segmentation
Yanming Sun
Chunyan Wang
8
27
0
22 Jul 2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D
  Medical Image Segmentation
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
B. Shirokikh
A. Shevtsov
Anvar Kurmukov
A. Dalechina
Egor Krivov
V. Kostjuchenko
A. Golanov
Mikhail Belyaev
6
20
0
20 Jul 2020
Learn distributed GAN with Temporary Discriminators
Learn distributed GAN with Temporary Discriminators
Hui Qu
Yikai Zhang
Qi Chang
Zhennan Yan
Chao Chen
Dimitris N. Metaxas
FedML
8
16
0
17 Jul 2020
Learning Semantics-enriched Representation via Self-discovery,
  Self-classification, and Self-restoration
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
F. Haghighi
M. Taher
Zongwei Zhou
Michael B. Gotway
Jianming Liang
MedIm
16
65
0
14 Jul 2020
Multi-Domain Image Completion for Random Missing Input Data
Multi-Domain Image Completion for Random Missing Input Data
Liyue Shen
Wentao Zhu
Xiaosong Wang
Lei Xing
John M. Pauly
...
Thomas Sanford
Sherif Mehralivand
Peter L. Choyke
B. Wood
Daguang Xu
MedIm
10
68
0
10 Jul 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided
  Sampling
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Chengliang Dai
Shuo Wang
Yuanhan Mo
Kaichen Zhou
Elsa D. Angelini
Yike Guo
Wenjia Bai
MedIm
6
33
0
26 Jun 2020
Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR
  Images using a GAN
Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN
Pengfei Guo
Puyang Wang
Jinyuan Zhou
Vishal M. Patel
Shanshan Jiang
MedIm
17
10
0
26 Jun 2020
Generating Annotated High-Fidelity Images Containing Multiple Coherent
  Objects
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects
Bryan G. Cardenas
Devanshu Arya
D. K. Gupta
DiffM
17
6
0
22 Jun 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated
  Aleatoric Uncertainty
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel A. B. Monteiro
Loic Le Folgoc
Daniel Coelho De Castro
Nick Pawlowski
Bernardo Marques
Konstantinos Kamnitsas
Mark van der Wilk
Ben Glocker
UQCV
BDL
12
113
0
10 Jun 2020
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for
  Glioma Segmentation
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation
M. Hamghalam
Baiying Lei
Tianfu Wang
MedIm
9
22
0
09 Jun 2020
A Modified AUC for Training Convolutional Neural Networks: Taking
  Confidence into Account
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account
Khashayar Namdar
M. Haider
Farzad Khalvati
8
26
0
08 Jun 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall
  Survival Prediction
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction
Snehal Rajput
M. Raval
3DV
28
12
0
31 May 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator
  GAN Without Sharing Medical Image Data
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
21
78
0
29 May 2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation
Uncertainty Evaluation Metric for Brain Tumour Segmentation
Raghav Mehta
Angelos Filos
Y. Gal
Tal Arbel
UQCV
12
16
0
28 May 2020
Unsupervised anomaly localization using VAE and beta-VAE
Unsupervised anomaly localization using VAE and beta-VAE
Leixin Zhou
Wenxiang Deng
Xiaodong Wu
DRL
17
15
0
19 May 2020
Neural Architecture Search for Gliomas Segmentation on Multimodal
  Magnetic Resonance Imaging
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging
Feifan Wang
11
5
0
13 May 2020
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