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The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation
  and Radiogenomic Classification

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

5 July 2021
Ujjwal Baid
S. Ghodasara
S. Mohan
Michel Bilello
Evan Calabrese
E. Colak
Keyvan Farahani
Jayashree Kalpathy-Cramer
Felipe Kitamura
Sarthak Pati
Luciano M Prevedello
J. Rudie
C. Sako
R. Shinohara
Timothy Bergquist
R. Chai
James Eddy
Julia Elliott
W. Reade
T. Schaffter
Thomas Yu
Jiaxin Zheng
Ahmed W. Moawad
Luiz Otavio Coelho
Olivia McDonnell
Elka Miller
Fanny E. Moron
Mark C. Oswood
Robert Y. Shih
Loizos Siakallis
Yulia Bronstein
James R. Mason
Anthony F. Miller
Gagandeep Choudhary
Aanchal Agarwal
Cristina H. Besada
Jamal J. Derakhshan
Mariana C. Diogo
Daniel D. Do-Dai
Luciano Farage
John L. Go
Mohiuddin Hadi
Virginia B. Hill
Michael Iv
David Joyner
Christie Lincoln
Eyal Lotan
BraTS Annotators
Mariana Sanchez Montano
Jaya Nath
Xuan V. Nguyen
Manal Nicolas-Jilwan
Johanna Ortiz Jimenez
Kerem Ozturk
Bojan D. Petrovic
Chintan Shah
Lubdha M. Shah
S. Cha
Onur Simsek
Achint K. Singh
Salil Soman
Volodymyr Statsevych
Brent D. Weinberg
Robert J. Young
Ichiro Ikuta
Amit K. Agarwal
Sword C. Cambron
Richard Silbergleit
Alexandru Dusoi
Alida A. Postma
Laurent Letourneau-Guillon
Gloria J. Guzman Perez-Carrillo
Atin Saha
Neetu Soni
Greg Zaharchuk
Vahe M. Zohrabian
Yingming Chen
Milos M. Cekic
Akm Rahman
Juan E. Small
Varun Sethi
Christos Davatzikos
John T Mongan
Christopher Hess
Soonmee Cha
J. Villanueva-Meyer
John B. Freymann
J. Kirby
Benedikt Wiestler
P. Crivellaro
Rivka R.Colen
Aikaterini Kotrotsou
Daniel S. Marcus
Mikhail Milchenko
Arash Nazeri
Hassan Fathallah-Shaykh
Roland Wiest
Andras Jakab
M. Weber
A. Mahajan
Bjoern H. Menze
Adam Flanders
Spyridon Bakas
ArXivPDFHTML

Papers citing "The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification"

50 / 275 papers shown
Title
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang
N. Ou
Chenghao Liu
Z. Zhuo
Yao Liu
Chuyang Ye
VLM
27
2
0
04 Apr 2023
MGMT promoter methylation status prediction using MRI scans? An
  extensive experimental evaluation of deep learning models
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
Numan Saeed
Muhammad Ridzuan
Hussain Alasmawi
I. Sobirov
Mohammad Yaqub
15
17
0
03 Apr 2023
Comparing Adversarial and Supervised Learning for Organs at Risk
  Segmentation in CT images
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images
L. Crespi
Mattia Portanti
Daniele Loiacono
MedIm
GAN
29
0
0
31 Mar 2023
Anatomically aware dual-hop learning for pulmonary embolism detection in
  CT pulmonary angiograms
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Florin Condrea
S. Rapaka
Lucian Itu
Puneet Sharma
J. Sperl
Mohamed Ali
Marius Leordeanu
37
5
0
30 Mar 2023
fRegGAN with K-space Loss Regularization for Medical Image Translation
fRegGAN with K-space Loss Regularization for Medical Image Translation
Ivo M. Baltruschat
Felix Kreis
A. Hoelscher
Melanie Dohmen
Matthias Lenga
GAN
MedIm
29
3
0
28 Mar 2023
An End-to-End Framework For Universal Lesion Detection With Missing
  Annotations
An End-to-End Framework For Universal Lesion Detection With Missing Annotations
Xiaoyu Bai
Yong-quan Xia
MedIm
45
3
0
27 Mar 2023
Multi-granularity Interaction Simulation for Unsupervised Interactive
  Segmentation
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
Kehan Li
Yian Zhao
Zhennan Wang
Ze-Long Cheng
Peng Jin
Xiang Ji
Li-ming Yuan
Chang-rui Liu
Jie Chen
29
9
0
23 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image
  Segmentation
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing
Lei Zhu
Lequan Yu
Zhiheng Xing
Liang Wan
39
8
0
18 Mar 2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image
  Segmentation
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Saikat Roy
Gregor Koehler
Constantin Ulrich
Michael Baumgartner
Jens Petersen
Fabian Isensee
Paul F. Jaeger
Klaus Maier-Hein
ViT
MedIm
40
138
0
17 Mar 2023
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual
  Networks
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
Ankita Joshi
Yi Hong
MedIm
18
0
0
16 Mar 2023
MetaMorph: Learning Metamorphic Image Transformation With Appearance
  Changes
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes
Jian Wang
Jiarui Xing
Jason Druzgal
W. Wells
Miaomiao Zhang
MedIm
39
4
0
08 Mar 2023
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
F. Behrendt
Debayan Bhattacharya
Julia Kruger
R. Opfer
Alexander Schlaefer
DiffM
MedIm
31
40
0
07 Mar 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
I. Lagogiannis
Felix Meissen
Georgios Kaissis
Daniel Rueckert
OOD
98
18
0
01 Mar 2023
Multi-class Brain Tumor Segmentation using Graph Attention Network
Multi-class Brain Tumor Segmentation using Graph Attention Network
Dhrumil Patel
Dhruv Patel
Rudra Saxena
Thangarajah Akilan
23
8
0
11 Feb 2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion
  Generator with Attention Network for Synthesizing Absent Data
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data
Tianyu Zhang
T. Tan
Luyi Han
Xin Eric Wang
Yuan Gao
Jonas Teuwen
R. Beets-Tan
R. Mann
MedIm
30
1
0
03 Feb 2023
Synthesis-based Imaging-Differentiation Representation Learning for
  Multi-Sequence 3D/4D MRI
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Luyi Han
T. Tan
Tianyu Zhang
Yunzhi Huang
Xin Eric Wang
Yuan Gao
Jonas Teuwen
R. Mann
MedIm
36
11
0
01 Feb 2023
Review of methods for automatic cerebral microbleeds detection
Review of methods for automatic cerebral microbleeds detection
M. Ferlin
Zuzanna Klawikowska
M. Grochowski
Malgorzata Grzywiñska
E. Szurowska
23
0
0
31 Jan 2023
Regularized Weight Aggregation in Networked Federated Learning for
  Glioblastoma Segmentation
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
Muhammad Irfan Khan
Mohammad Ayyaz Azeem
E. Alhoniemi
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
31
3
0
30 Jan 2023
MedSegDiff-V2: Diffusion based Medical Image Segmentation with
  Transformer
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu
Rao Fu
Huihui Fang
Min Xu
Yu Zhang
Yanwu Xu
DiffM
MedIm
49
160
0
19 Jan 2023
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS
  2022 Challenge Solution
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution
Ramy A. Zeineldin
Mohamed E. Karar
Oliver Burgert
Franziska Mathis-Ullrich
30
30
0
19 Dec 2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge
Robust Learning Protocol for Federated Tumor Segmentation Challenge
Ambrish Rawat
Giulio Zizzo
S. Kadhe
J. Epperlein
S. Braghin
FedML
34
3
0
16 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
51
359
0
14 Nov 2022
A Comprehensive Survey of Transformers for Computer Vision
A Comprehensive Survey of Transformers for Computer Vision
Sonain Jamil
Md. Jalil Piran
Oh-Jin Kwon
ViT
30
47
0
11 Nov 2022
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic
  Model
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu
Rao Fu
Huihui Fang
Yu Zhang
Yehui Yang
Haoyi Xiong
Huiying Liu
Yanwu Xu
MedIm
VLM
DiffM
103
241
0
01 Nov 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological
  Report
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
Pouria Rouzrokh
Bardia Khosravi
S. Faghani
Mana Moassefi
Sanaz Vahdati
Bradley J. Erickson
DiffM
MedIm
61
24
0
21 Oct 2022
SimpleClick: Interactive Image Segmentation with Simple Vision
  Transformers
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
Qin Liu
Zhenlin Xu
Gedas Bertasius
Marc Niethammer
24
112
0
20 Oct 2022
Integrative Imaging Informatics for Cancer Research: Workflow Automation
  for Neuro-oncology (I3CR-WANO)
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Satrajit Chakrabarty
S. A. Abidi
Mina S. Mousa
Mahati Mokkarala
Isabelle Hren
...
Yuzhuo Su
Sherry Thorpe
Caroline Chung
Aristeidis Sotiras
Daniel S. Marcus
30
8
0
06 Oct 2022
UNesT: Local Spatial Representation Learning with Hierarchical
  Transformer for Efficient Medical Segmentation
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation
Xin Yu
Qi Yang
Yinchi Zhou
L. Cai
Riqiang Gao
...
R. Abramson
Zizhao Zhang
Yuankai Huo
Bennett A. Landman
Yucheng Tang
ViT
MedIm
42
0
0
28 Sep 2022
A Fast Algorithm for Implementation of Koul's Minimum Distance
  Estimators and Their Application to Image Segmentation
A Fast Algorithm for Implementation of Koul's Minimum Distance Estimators and Their Application to Image Segmentation
Jiwoong Kim
9
0
0
21 Sep 2022
Deep Superpixel Generation and Clustering for Weakly Supervised
  Segmentation of Brain Tumors in MR Images
Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images
Jayeon Yoo
Khashayar Namdar
Farzad Khalvati
21
2
0
20 Sep 2022
Automated ischemic stroke lesion segmentation from 3D MRI
Automated ischemic stroke lesion segmentation from 3D MRI
M. R. Siddiquee
Dong Yang
Yufan He
Daguang Xu
Andriy Myronenko
23
8
0
20 Sep 2022
Hybrid Window Attention Based Transformer Architecture for Brain Tumor
  Segmentation
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
Himashi Peiris
Munawar Hayat
Zhaolin Chen
Gary Egan
Mehrtash Harandi
MedIm
29
4
0
16 Sep 2022
Deep learning automates bidimensional and volumetric tumor burden
  measurement from MRI in pre- and post-operative glioblastoma patients
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
J. Nalepa
Krzysztof Kotowski
B. Machura
Szymon Adamski
O. Bożek
...
Marek Strzelczak
Lukasz Zarudzki
A. Krason
F. Arcadu
J. Tessier
21
18
0
03 Sep 2022
EfficientNet for Brain-Lesion classification
EfficientNet for Brain-Lesion classification
Quoc-Huy Trinh
Trong-Hieu Nguyen-Mau
Radmir Zosimov
Minh Le Nguyen
MedIm
14
0
0
09 Aug 2022
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
Khashayar Namdar
Matthias W. Wagner
B. Ertl-Wagner
Farzad Khalvati
AI4CE
19
1
0
29 Jul 2022
High-Resolution Swin Transformer for Automatic Medical Image
  Segmentation
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
ViT
OOD
MedIm
32
36
0
23 Jul 2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with
  Modality-Correlated Cross-Attention for Brain Tumor Segmentation
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Jianwei Lin
Jiatai Lin
Chenghao Lu
Hao Chen
Huan Lin
...
Biao Huang
C. Liang
Guoqiang Han
Zaiyi Liu
Chu Han
MedIm
24
67
0
15 Jul 2022
PseudoClick: Interactive Image Segmentation with Click Imitation
PseudoClick: Interactive Image Segmentation with Click Imitation
Qin Liu
Meng Zheng
Benjamin Planche
Srikrishna Karanam
Terrence Chen
Marc Niethammer
Ziyan Wu
VLM
46
57
0
12 Jul 2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided diagnosis and prediction in brain disorders
Vikram Venkatraghavan
S. V. D. Voort
D. Bos
M. Smits
F. Barkhof
W. Niessen
S. Klein
Esther E. Bron
OOD
14
1
0
29 Jun 2022
Evidence fusion with contextual discounting for multi-modality medical
  image segmentation
Evidence fusion with contextual discounting for multi-modality medical image segmentation
Ling Huang
Thierry Denoeux
P. Vera
S. Ruan
MedIm
36
28
0
23 Jun 2022
Brain tumour segmentation with incomplete imaging data
Brain tumour segmentation with incomplete imaging data
James K. Ruffle
Samia Mohinta
Robert J. Gray
H. Hyare
P. Nachev
32
8
0
13 Jun 2022
Data Stealing Attack on Medical Images: Is it Safe to Export Networks
  from Data Lakes?
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Huiyu Li
N. Ayache
H. Delingette
MIACV
16
2
0
07 Jun 2022
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit
  Hierarchical Disentanglement
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement
Xin Eric Wang
Xinzhe Luo
Xiahai Zhuang
FedML
30
4
0
06 Jun 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViT
OOD
MedIm
23
24
0
02 Jun 2022
Preoperative brain tumor imaging: models and software for segmentation
  and standardized reporting
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget
André Pedersen
A. Jakola
V. Kavouridis
K. Emblem
...
M. Witte
A. Zwinderman
P. D. W. Hamer
O. Solheim
Ingerid Reinertsen
28
21
0
29 Apr 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer
  for Missing Data Imputation
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Jiang Liu
Srivathsa Pasumarthi
B. Duffy
Enhao Gong
Keshav Datta
Greg Zaharchuk
ViT
MedIm
24
56
0
28 Apr 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah J. Sheller
Shih-Han Wang
...
Prashant Shah
Bjoern H. Menze
J. Barnholtz-Sloan
Jason Martin
Spyridon Bakas
FedML
AI4CE
31
207
0
22 Apr 2022
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
39
3
0
11 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
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
16
9
0
10 Feb 2022
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