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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-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 / 511 papers shown
Title
Negligible effect of brain MRI data preprocessing for tumor segmentation
Negligible effect of brain MRI data preprocessing for tumor segmentation
E. Kondrateva
Polina Druzhinina
A. Dalechina
S. Zolotova
A. Golanov
B. Shirokikh
Mikhail Belyaev
Anvar Kurmukov
34
3
0
11 Apr 2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing
  modalities
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
Reza Azad
Nika Khosravi
Dorit Merhof
11
55
0
06 Apr 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task
  Diffusion Models
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe C. Cattin
MedIm
DiffM
18
32
0
06 Apr 2022
A Dempster-Shafer approach to trustworthy AI with application to fetal
  brain MRI segmentation
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
Lucas Fidon
Michael Aertsen
Florian Kofler
A. Bink
A. David
...
Marlene Stuempflen
Esther Van Elslander
Sébastien Ourselin
Jan Deprest
Tom Kamiel Magda Vercauteren
31
16
0
05 Apr 2022
UNetFormer: A Unified Vision Transformer Model and Pre-Training
  Framework for 3D Medical Image Segmentation
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation
Ali Hatamizadeh
Ziyue Xu
Dong Yang
Wenqi Li
H. Roth
Daguang Xu
ViT
MedIm
37
29
0
01 Apr 2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
Target and Task specific Source-Free Domain Adaptive Image Segmentation
VS Vibashan
Jeya Maria Jose Valanarasu
Vishal M. Patel
OOD
32
17
0
29 Mar 2022
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li
Hong Yu
Chen Chen
Meng Ding
Sen Zha
17
13
0
29 Mar 2022
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Yunlong Zhang
Xin Lin
Yihong Zhuang
LiyanSun
Yue Huang
Xinghao Ding
Guisheng Wang
L. Yang
Yizhou Yu
MedIm
14
6
0
29 Mar 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis
  and Prognosis: A Review
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
C. Cui
Haichun Yang
Yaohong Wang
Shilin Zhao
Zuhayr Asad
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
28
94
0
25 Mar 2022
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation
Wenbo Zhang
Guang Yang
He Huang
Weiji Yang
Xiaomei Xu
Yongkai Liu
Xiaobo Lai
31
101
0
21 Mar 2022
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D
  Medical Image Segmentation
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation
Zhaotao Wu
Jia Wei
Jiabing Wang
Rui Li
22
4
0
21 Mar 2022
On-the-Fly Test-time Adaptation for Medical Image Segmentation
On-the-Fly Test-time Adaptation for Medical Image Segmentation
Jeya Maria Jose Valanarasu
Pengfei Guo
VS Vibashan
Vishal M. Patel
OOD
27
23
0
10 Mar 2022
Artificial Intelligence Solution for Effective Treatment Planning for
  Glioblastoma Patients
Artificial Intelligence Solution for Effective Treatment Planning for Glioblastoma Patients
Vikram Goddla
26
0
0
09 Mar 2022
Survival Prediction of Brain Cancer with Incomplete Radiology,
  Pathology, Genomics, and Demographic Data
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data
C. Cui
Han Liu
Quan Liu
Ruining Deng
Zuhayr Asad
Shilin Zhao
Haichun Yang
Bennett A. Landman
Yuankai Huo
23
23
0
08 Mar 2022
Diffusion Models for Medical Anomaly Detection
Diffusion Models for Medical Anomaly Detection
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedIm
DiffM
39
262
0
08 Mar 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
18
23
0
03 Mar 2022
Semi-supervised Learning using Robust Loss
Semi-supervised Learning using Robust Loss
Wenhui Cui
H. Akrami
Anand A. Joshi
Richard M. Leahy
OOD
17
4
0
03 Mar 2022
Shape constrained CNN for segmentation guided prediction of myocardial
  shape and pose parameters in cardiac MRI
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Sofie Tilborghs
J. Bogaert
F. Maes
25
6
0
02 Mar 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep
  Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
Zhenyu Yang
Zongsheng Hu
H. Ji
Kyle J. Lafata
Scott Floyd
F. Yin
Cong Wang
26
14
0
01 Mar 2022
Uncertainty categories in medical image segmentation: a study of
  source-related diversity
Uncertainty categories in medical image segmentation: a study of source-related diversity
Luke Whitbread
M. Jenkinson
UD
UQCV
34
3
0
01 Mar 2022
Transformers in Medical Image Analysis: A Review
Transformers in Medical Image Analysis: A Review
Kelei He
Chen Gan
Zhuoyuan Li
I. Rekik
Zihao Yin
Wen Ji
Yang Gao
Qian Wang
Junfeng Zhang
Dinggang Shen
ViT
MedIm
28
255
0
24 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter
  Selection Methods for Federated Brain Tumor Segmentation
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Ece Isik Polat
Gorkem Polat
Altan Koçyiğit
A. Temi̇zel
OOD
FedML
22
3
0
16 Feb 2022
Improving the repeatability of deep learning models with Monte Carlo
  dropout
Improving the repeatability of deep learning models with Monte Carlo dropout
A. Lemay
K. Hoebel
Christopher P. Bridge
B. Befano
Silvia De Sanjosé
Diden Egemen
A. Rodriguez
M. Schiffman
John Peter Campbell
Jayashree Kalpathy-Cramer
OOD
21
45
0
15 Feb 2022
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
Haozhe Jia
Chao Bai
Weidong (Tom) Cai
Heng-Chiao Huang
Yong-quan Xia
13
9
0
10 Feb 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep
  Anchor Attention Learning with Vision Transformer
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
Xuan Xu
Prateek Prasanna
ViT
MedIm
27
7
0
03 Feb 2022
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with
  Multi-Task Brain Age Prediction
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction
M. Bengs
F. Behrendt
M. Laves
Julia Kruger
R. Opfer
Alexander Schlaefer
MedIm
27
9
0
31 Jan 2022
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of
  Medical Images
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li
Wenxuan Wang
Chen Chen
Tianxiang Zhang
Sen Zha
Jing Wang
Hong Yu
ViT
MedIm
26
25
0
30 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViT
LM&MA
MedIm
111
663
0
24 Jan 2022
Modality Bank: Learn multi-modality images across data centers without
  sharing medical data
Modality Bank: Learn multi-modality images across data centers without sharing medical data
Qi Chang
Hui Qu
Zhennan Yan
Yunhe Gao
L. Baskaran
Dimitris N. Metaxas
MedIm
22
4
0
22 Jan 2022
ViTBIS: Vision Transformer for Biomedical Image Segmentation
ViTBIS: Vision Transformer for Biomedical Image Segmentation
Abhinav Sagar
ViT
MedIm
25
18
0
15 Jan 2022
Swin Transformer for Fast MRI
Swin Transformer for Fast MRI
Jiahao Huang
Yingying Fang
Yinzhe Wu
Huanjun Wu
Zhifan Gao
Yang Li
Javier Del Ser
Jun Xia
Guang Yang
ViT
OOD
32
142
0
10 Jan 2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining
  Three-Sequence Cardiac Magnetic Resonance Images
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Lei Li
Fuping Wu
Sihan Wang
Xinzhe Luo
Carlos Martín-Isla
...
Guocai Liu
Yong-quan Xia
Guotai Wang
Sergio Escalera
Xiahai Zhuang
24
34
0
10 Jan 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation
  techniques for Vestibular Schwannoma and Cochlea Segmentation
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
R. Dorent
A. Kujawa
M. Ivory
Spyridon Bakas
Nicola Rieke
...
Kai Yao
Li Zhang
Sebastien Ourselin
J. Shapey
Tom Kamiel Magda Vercauteren
OOD
20
78
0
08 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViT
MedIm
48
1,060
0
04 Jan 2022
Generalized Wasserstein Dice Loss, Test-time Augmentation, and
  Transformers for the BraTS 2021 challenge
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Lucas Fidon
Suprosanna Shit
Ivan Ezhov
Johannes C. Paetzold
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
ViT
MedIm
38
8
0
24 Dec 2021
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small
  Training Sets: Sample Application to MRI Brain Sequence Classification
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification
J. Stember
H. Shalu
MedIm
16
6
0
24 Dec 2021
On the relationship between calibrated predictors and unbiased volume
  estimation
On the relationship between calibrated predictors and unbiased volume estimation
Teodora Popordanoska
J. Bertels
Dirk Vandermeulen
F. Maes
Matthew B. Blaschko
42
11
0
23 Dec 2021
Deep learning for brain metastasis detection and segmentation in
  longitudinal MRI data
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
Yixing Huang
Christoph Bert
P. Sommer
Benjamin Frey
U. Gaipl
...
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
19
41
0
22 Dec 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in
  Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking
  Results
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta
Angelos Filos
Ujjwal Baid
C. Sako
Richard McKinley
...
Christos Davatzikos
Bjoern H. Menze
Spyridon Bakas
Y. Gal
Tal Arbel
UQCV
17
44
0
19 Dec 2021
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an
  Adversarial-based Selective Cutting Network
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Raunak Dey
Wenbo Sun
Haibo Xu
Yi Hong
15
0
0
16 Dec 2021
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge:
  Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of
  Diffuse Glioma Patients
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
Bhakti Baheti
Satrajit Chakrabarty
H. Akbari
Michel Bilello
Benedikt Wiestler
...
Christos Davatzikos
Aristeidis Sotiras
Bjoern H. Menze
Spyridon Bakas
Diana Waldmannstetter
47
45
0
13 Dec 2021
Extending nn-UNet for brain tumor segmentation
Extending nn-UNet for brain tumor segmentation
Huan Minh Luu
Sung-Hong Park
32
102
0
09 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
24
267
0
06 Dec 2021
Leveraging Human Selective Attention for Medical Image Analysis with
  Limited Training Data
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Yifei Huang
Xiaoxiao Li
Lijin Yang
Lin Gu
Yingying Zhu
Hirofumi Seo
Qiuming Meng
Tatsuya Harada
Yoichi Sato
MedIm
29
9
0
02 Dec 2021
Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of
  MGMT Methylation Status in Glioblastoma
Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma
M. Rao
14
1
0
30 Nov 2021
Localized Perturbations For Weakly-Supervised Segmentation of Glioma
  Brain Tumours
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours
Sajith Rajapaksa
Farzad Khalvati
19
3
0
29 Nov 2021
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong (Tom) Cai
Zongwei Zhou
UQCV
32
39
0
26 Nov 2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural
  Network for Brain Tumor Segmentation with Missing MR Modalities
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
MedIm
41
42
0
08 Nov 2021
Partial supervision for the FeTA challenge 2021
Partial supervision for the FeTA challenge 2021
Lucas Fidon
Michael Aertsen
Suprosanna Shit
P. Demaerel
Sébastien Ourselin
Jan Deprest
Tom Kamiel Magda Vercauteren
31
6
0
03 Nov 2021
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
M. R. Siddiquee
Andriy Myronenko
31
17
0
01 Nov 2021
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