The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
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Abstract (arXiv)
Meningiomas are the most common primary intracranial tumor in adults and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on multiparametric MRI (mpMRI) for diagnosis, treatment planning, and longitudinal treatment monitoring; yet automated, objective, and quantitative tools for non-invasive assessment of meningiomas on mpMRI are lacking. The BraTS meningioma 2023 challenge will provide a community standard and benchmark for state-of-the-art automated intracranial meningioma segmentation models based on the largest expert annotated multilabel meningioma mpMRI dataset to date. Challenge competitors will develop automated segmentation models to predict three distinct meningioma sub-regions on MRI including enhancing tumor, non-enhancing tumor core, and surrounding nonenhancing T2/FLAIR hyperintensity. Models will be evaluated on separate validation and held-out test datasets using standardized metrics utilized across the BraTS 2023 series of challenges including the Dice similarity coefficient and Hausdorff distance. The models developed during the course of this challenge will aid in incorporation of automated meningioma MRI segmentation into clinical practice, which will ultimately improve care of patients with meningioma.
Key facts. Cited by 53 papers in the map (data through 14 Oct 2026). Builds on 3 of its 35 references that are in the map. First posted on arXiv 12 May 2023.
Builds on
3 of 35 references.
References · 3
- 2021The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classificationcited by 518
- 2018Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challengecited by 511
- 2022CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentationcited by 58
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Citing papers per year: 2023: 4; 2024: 17; 2025: 18; 2026: 14.
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- 2024The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRIcited by 69
- 2023Large-Vocabulary Segmentation for Medical Images with Text Promptscited by 62
- 2024Foundation Models for Biomedical Image Segmentation: A Surveycited by 28
- 2024AutoRG-Brain: Grounded Report Generation for Brain MRIcited by 24
- 2024Multi-modal Vision Pre-training for Medical Image Analysiscited by 23
- 2024Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challengecited by 15
- 2025Towards Scalable Language-Image Pre-training for 3D Medical Imagingcited by 14
- 2024BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023cited by 11
- 2025Rethinking Brain Tumor Segmentation from the Frequency Domain Perspectivecited by 9
- 2025A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learningcited by 8
- 2025OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Taskscited by 8
- 2024Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imagingcited by 7
38 more
- 2024Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challengecited by 5
- 2025Performance of GPT-5 in Brain Tumor MRI Reasoningcited by 5
- 2023Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networkscited by 4
- 2024An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentationcited by 4
- 2024Robust Conformal Volume Estimation in 3D Medical Imagescited by 4
- 2024Autoregressive Sequence Modeling for 3D Medical Image Representationcited by 4
- 2024Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentationcited by 4
- 2025Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Codecited by 4
- 2026Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysiscited by 4
- 2026BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learningcited by 4
- 2024On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networkscited by 3
- 2023Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)cited by 2
- 2024Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classificationcited by 2
- 2025GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRIcited by 2
- 2025The Missing Piece: A Case for Pre-Training in 3D Medical Object Detectioncited by 2
- 2024Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentationcited by 1
- 2025RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Featurescited by 1
- 2025BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysiscited by 1
- 2025BARL: Bilateral Alignment in Representation and Label Spaces for Semi-Supervised Volumetric Medical Image Segmentationcited by 1
- 2025A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Developmentcited by 1
- 2026Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Taskscited by 1
- 2026Cross Modality Image Translation In Medical Imaging Using Generative Frameworkscited by 1
- 2023ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentationcited by 0
- 2024Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operationcited by 0
- 2024SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentationcited by 0
- 2025Mix-modal Federated Learning for MRI Image Segmentationcited by 0
- 2025Towards Label-Free Brain Tumor Segmentation: Unsupervised Learning with Multimodal MRIcited by 0
- 2025Efficient Meningioma Tumor Segmentation Using Ensemble Learningcited by 0
- 2025Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemblecited by 0
- 2025A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time pointscited by 0
- 2025Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learningcited by 0
- 2026Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imagingcited by 0
- 2026D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalitiescited by 0
- 2026Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncologycited by 0
- 2026PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report Generationcited by 0
- 2026MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalitiescited by 0
- 2026BrainDiff: Longitudinal Report Generation for Multimodal Brain MRIcited by 0
- 2026Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformationscited by 0
50 most cited of 53 All 53 (JSON)
- 2026The Federated Tumor Segmentation and Classification (FeTS++) Challenge13 Oct 2026
- 2026Dataset-Specific Encoding of Image Content Underlies Cross-Dataset Failure in Brain MRI Foundation Models9 Oct 2026
- 2026Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 202614 Sep 2026
- 2026Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations2 Sep 2026
- 2026BrainDiff: Longitudinal Report Generation for Multimodal Brain MRI1 Sep 2026
- 2026MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalities20 Aug 2026
- 2026PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report Generation18 Aug 2026
- 2026Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology16 Jul 2026
- 2026D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities21 May 2026
- 2026Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging14 May 2026
- 2026Cross Modality Image Translation In Medical Imaging Using Generative Frameworks13 May 2026
- 2026BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning30 Apr 2026
38 more
- 2026Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis17 Apr 2026
- 2026Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks3 Apr 2026
- 2025Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning26 Dec 2025
- 2025A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time points19 Dec 2025
- 2025Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble16 Dec 2025
- 2025OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks2 Nov 2025
- 2025Efficient Meningioma Tumor Segmentation Using Ensemble Learning23 Oct 2025
- 2025A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development23 Oct 2025
- 2025BARL: Bilateral Alignment in Representation and Label Spaces for Semi-Supervised Volumetric Medical Image Segmentation19 Oct 2025
- 2025Towards Label-Free Brain Tumor Segmentation: Unsupervised Learning with Multimodal MRI17 Oct 2025
- 2025The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection19 Sep 2025
- 2025Mix-modal Federated Learning for MRI Image Segmentation2 Sep 2025
- 2025Performance of GPT-5 in Brain Tumor MRI Reasoning14 Aug 2025
- 2025BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis11 Jul 2025
- 2025RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features11 Jul 2025
- 2025A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning17 Jun 2025
- 2025Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective11 Jun 2025
- 2025Towards Scalable Language-Image Pre-training for 3D Medical Imaging28 May 2025
- 2025GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI6 Mar 2025
- 2025Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code30 Jan 2025
- 2024SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation21 Nov 2024
- 2024Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification19 Nov 2024
- 2024Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation7 Nov 2024
- 2024Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation2 Nov 2024
- 2024Multi-modal Vision Pre-training for Medical Image Analysis14 Oct 2024
- 2024Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation20 Sep 2024
- 2024Autoregressive Sequence Modeling for 3D Medical Image Representation13 Sep 2024
- 2024Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging12 Sep 2024
- 2024Robust Conformal Volume Estimation in 3D Medical Images29 Jul 2024
- 2024AutoRG-Brain: Grounded Report Generation for Brain MRI23 Jul 2024
- 2024BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 202311 Jul 2024
- 2024Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge28 May 2024
- 2024The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI28 May 2024
- 2024Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge16 May 2024
- 2024On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks5 May 2024
- 2024An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation10 Feb 2024
- 2024Foundation Models for Biomedical Image Segmentation: A Survey15 Jan 2024
- 2023Large-Vocabulary Segmentation for Medical Images with Text Prompts28 Dec 2023
50 newest of 53 All 53 (JSON)
- 2025OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Taskscited by 8
- 2026Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncologycited by 0
- 2026PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report Generationcited by 0
- 2026PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report Generation18 Aug 2026
- 2026Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology16 Jul 2026
- 2025OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks2 Nov 2025
- 2025Performance of GPT-5 in Brain Tumor MRI Reasoningcited by 5
- 2025Performance of GPT-5 in Brain Tumor MRI Reasoning14 Aug 2025
- 2024The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRIcited by 69
- 2023Large-Vocabulary Segmentation for Medical Images with Text Promptscited by 62
- 2024Foundation Models for Biomedical Image Segmentation: A Surveycited by 28
- 2024AutoRG-Brain: Grounded Report Generation for Brain MRIcited by 24
- 2024Multi-modal Vision Pre-training for Medical Image Analysiscited by 23
- 2024Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challengecited by 15
- 2025Towards Scalable Language-Image Pre-training for 3D Medical Imagingcited by 14
- 2024BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023cited by 11
- 2025Rethinking Brain Tumor Segmentation from the Frequency Domain Perspectivecited by 9
- 2025A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learningcited by 8
- 2024Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imagingcited by 7
- 2024Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challengecited by 5
12 most cited of 47 All 47 (JSON)
- 2026The Federated Tumor Segmentation and Classification (FeTS++) Challenge13 Oct 2026
- 2026Dataset-Specific Encoding of Image Content Underlies Cross-Dataset Failure in Brain MRI Foundation Models9 Oct 2026
- 2026Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 202614 Sep 2026
- 2026Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations2 Sep 2026
- 2026BrainDiff: Longitudinal Report Generation for Multimodal Brain MRI1 Sep 2026
- 2026MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalities20 Aug 2026
- 2026D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities21 May 2026
- 2026Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging14 May 2026
- 2026BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning30 Apr 2026
- 2026Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks3 Apr 2026
- 2025Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning26 Dec 2025
- 2025A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time points19 Dec 2025
12 newest of 47 All 47 (JSON)