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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
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
Jingyun Chen
David Horowitz
Yading Yuan
MedIm
AI4CE
7
0
0
20 May 2025
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
Jiaming Liang
Lihuan Dai
Xiaoqi Sheng
Xiangguang Chen
Chun Yao
Guihua Tao
Qibin Leng
Hongmin Cai
Xi Zhong
32
0
0
15 May 2025
Recent Advances in Medical Imaging Segmentation: A Survey
Recent Advances in Medical Imaging Segmentation: A Survey
Fares Bougourzi
Abdenour Hadid
OOD
44
0
0
14 May 2025
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
Badhan Kumar Das
Ajay Singh
Gengyan Zhao
Han Liu
Thomas J. Re
Dorin Comaniciu
Eli Gibson
Andreas Maier
ViT
MedIm
29
0
0
13 May 2025
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
Haozhao Wang
Yifeng Wu
Huimin Huang
Hongtao Wu
Jia-Xuan Jiang
...
Hao Zheng
Xian Wu
Yefeng Zheng
Jinping Xu
Jing Cheng
MedIm
34
0
0
09 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah
Tao Huang
Ickjai Lee
Euijoon Ahn
MedIm
26
0
0
09 May 2025
Regression is all you need for medical image translation
Regression is all you need for medical image translation
Sebastian Rassmann
David Kügler
Christian Ewert
Martin Reuter
DiffM
MedIm
237
0
0
04 May 2025
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
Zhongying Deng
Haoyu Wang
Ziyan Huang
Li Zhang
Angelica I Aviles-Rivero
Chaoyu Liu
Junjun He
Zoe Kourtzi
Carola-Bibiane Schönlieb
MedIm
AI4CE
42
0
0
01 May 2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities
Lucas Robinet
Ahmad Berjaoui
Elizabeth Cohen-Jonathan Moyal
26
0
0
01 May 2025
Multi-level Cellular Automata for FLIM networks
Multi-level Cellular Automata for FLIM networks
Felipe C. R. Salvagnini
Jancarlo F. Gomes
C. A. N. Santos
S. Guimarães
Alexandre X. Falcão
30
0
0
15 Apr 2025
MediSee: Reasoning-based Pixel-level Perception in Medical Images
MediSee: Reasoning-based Pixel-level Perception in Medical Images
Qinyue Tong
Ziqian Lu
Jun Liu
Yangming Zheng
Zheming Lu
LRM
43
0
0
15 Apr 2025
Structure-Accurate Medical Image Translation based on Dynamic Frequency Balance and Knowledge Guidance
Structure-Accurate Medical Image Translation based on Dynamic Frequency Balance and Knowledge Guidance
Jiahua Xu
Dawei Zhou
Lei Hu
Zaiyi Liu
N. Wang
Xinbo Gao
MedIm
34
0
0
13 Apr 2025
Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
Constantin Ulrich
Tassilo Wald
Fabian Isensee
Klaus H. Maier-Hein
26
0
0
09 Apr 2025
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
Emmanuelle Bourigault
A. Jamaludin
Abdullah Hamdi
30
0
0
09 Apr 2025
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
Ziyun Liang
Xiaoqing Guo
Wentian Xu
Yasin Ibrahim
Natalie Voets
Pieter M Pretorius
J. A. Noble
Konstantinos Kamnitsas
29
0
0
07 Apr 2025
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
Moinak Bhattacharya
Saumya Gupta
Annie Singh
Chong Chen
Gagandeep Singh
Prateek Prasanna
MedIm
31
0
0
06 Apr 2025
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation
Tianyi Ren
Juampablo Heras Rivera
Hitender Oswal
Yutong Pan
Agamdeep Chopra
Jacob Ruzevick
Mehmet Kurt
34
0
0
06 Apr 2025
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
Niu Lian
Jun Li
Jinpeng Wang
Ruisheng Luo
Yaowei Wang
Shu-Tao Xia
Bin Chen
188
0
0
04 Apr 2025
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis
Xi Wang
Ziqi He
Yang Zhou
37
0
0
04 Apr 2025
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
Xuran Ma
Yexin Liu
Yaofu Liu
Xianfeng Wu
Mingzhe Zheng
Ziyi Wang
Ser-Nam Lim
Harry Yang
DiffM
43
0
0
04 Apr 2025
Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation
Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation
Farzan Moodi
Fereshteh Khodadadi Shoushtari
Gelareh Valizadeh
Dornaz Mazinani
Hanieh Mobarak Salari
Hamidreza Saligheh Rad
3DPC
102
0
0
26 Mar 2025
M2N2V2: Multi-Modal Unsupervised and Training-free Interactive Segmentation
M2N2V2: Multi-Modal Unsupervised and Training-free Interactive Segmentation
Markus Karmann
Peng-Tao Jiang
Bo Li
O. Urfalioglu
47
0
0
20 Mar 2025
nnInteractive: Redefining 3D Promptable Segmentation
Fabian Isensee
Maximilian R. Rokuss
Lars Krämer
Stefan Dinkelacker
Ashis Ravindran
...
Moritz Langenberg
Constantin Ulrich
Jonathan Deissler
R. Floca
Klaus H. Maier-Hein
66
2
0
11 Mar 2025
Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma
Somayeh Farahani
Marjaneh Hejazi
A. Di Ieva
Emad Fatemizadeh
Sidong Liu
40
0
0
10 Mar 2025
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation
Wentian Xu
Ziyun Liang
Harry Anthony
Yasin Ibrahim
Felix Cohen
Guang Yang
Daniel Whitehouse
David Menon
Virginia Newcombe
Konstantinos Kamnitsas
OOD
51
0
0
09 Mar 2025
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
Zhenxuan Zhang
Hongjie Wu
Jiahao Huang
Baihong Xie
Zhifan Gao
Junxian Du
Pete Lally
Guang Yang
66
0
0
07 Mar 2025
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction
Tao Chen
Chenhui Wang
Zhihao Chen
Hongming Shan
MedIm
56
0
0
28 Feb 2025
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
Maximilian R. Rokuss
Yannick Kirchhoff
Seval Akbal
Balint Kovacs
Saikat Roy
Constantin Ulrich
Tassilo Wald
Lukas T. Rotkopf
H. Schlemmer
Klaus H. Maier-Hein
3DV
MedIm
46
1
0
28 Feb 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
Silin Chen
Kangjian Di
Yichu Xu
Han-Jia Ye
Wenhan Luo
Ningmu Zou
FedML
45
0
0
28 Feb 2025
Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis
Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis
Minjoo Lim
Bogyeong Kang
Tae-Eui Kam
MedIm
71
0
0
26 Feb 2025
A New Logic For Pediatric Brain Tumor Segmentation
A New Logic For Pediatric Brain Tumor Segmentation
Max Bengtsson
Elif Keles
Gorkem Durak
Syed Muhammad Anwar
Yuri Velichko
M. Linguraru
A. Waanders
Ulas Bagci
46
1
0
20 Feb 2025
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
Paul Friedrich
Florentin Bieder
P. Cattin
MedIm
66
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20 Feb 2025
A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma
A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma
A. Gomaa
Yixing Huang
Pluvio Stephan
Katharina Breininger
Benjamin Frey
...
U. Gaipl
Christoph Bert
R. Fietkau
M. Schmidt
F. Putz
89
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06 Feb 2025
Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis
Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis
Chenhui Zhao
Yan Jiang
Todd C. Hollon
57
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04 Feb 2025
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation
Aghiles Kebaili
J. Lapuyade-Lahorgue
P. Vera
S. Ruan
DiffM
MedIm
50
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22 Jan 2025
A generalizable 3D framework and model for self-supervised learning in medical imaging
A generalizable 3D framework and model for self-supervised learning in medical imaging
Tony Xu
Sepehr Hosseini
Chris Anderson
Anthony Rinaldi
Rahul G. Krishnan
Anne L. Martel
Maged Goubran
MedIm
58
3
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20 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
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VLM
105
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17 Jan 2025
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion
Xiyue Zhu
Dou Hoon Kwark
Ruike Zhu
Kaiwen Hong
Yiqi Tao
Shirui Luo
Yudu Li
Zhi-Pei Liang
Volodymyr V. Kindratenko
MedIm
43
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FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis
FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis
Xiaojiao Xiao
Qinmin Hu
Guanghui Wang
MedIm
DiffM
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Flemme: A Flexible and Modular Learning Platform for Medical Images
Flemme: A Flexible and Modular Learning Platform for Medical Images
Guoqing Zhang
Jingyun Yang
Yang Li
MedIm
53
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UniMo: Universal Motion Correction For Medical Images without Network Retraining
UniMo: Universal Motion Correction For Medical Images without Network Retraining
Jian Wang
Razieh Faghihpirayesh
Danny Joca
Polina Golland
Ali Gholipour
40
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Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
33
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31 Dec 2024
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Ruitao Xie
Jingbang Chen
Limai Jiang
Rui Xiao
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Yunpeng Cai
71
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Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
51
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31 Dec 2024
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging
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MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
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Parameter-efficient Fine-tuning for improved Convolutional Baseline for
  Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset
Bijay Adhikari
Pratibha Kulung
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79
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Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning
  on Stratified Finetuning Data
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Abhijeet Parida
Daniel Capellán-Martín
Zhifan Jiang
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Xinyang Liu
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68
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Multi-resolution Guided 3D GANs for Medical Image Translation
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Juhyung Ha
Jong Sung Park
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Eleftherios Garyfallidis
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MedIm
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Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and
  Pediatrics
Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
Sarim Hashmi
Juan Lugo
Abdelrahman Elsayed
Dinesh Saggurthi
Mohammed Elseiagy
Alikhan Nurkamal
Jaskaran Walia
F. Maani
Mohammad Yaqub
241
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  generalization through personalization
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Zhaorui Tan
Xi Yang
Tan Pan
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Qiufeng Wang
Anh Nguyen
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K. Huang
Yuan Cheng
AI4CE
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