BraTS

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Overview

BraTS research uses multimodal brain MRI to identify and characterize tumors, especially by segmenting whole tumor, tumor core, and enhancing tumor regions. These regions support clinical assessment and provide a shared basis for comparing methods, while related work explores tumor grading, infiltration risk, MRI synthesis, and inpainting. Common approaches include 3D U-Net-style networks, transformers and state-space models, modality-fusion methods, and techniques for missing inputs, limited labels, or image degradation. A central challenge is maintaining reliable performance across hospitals, cohorts, and imaging conditions, with evaluation complicated by differences in data splits, metrics, and whether models use clinically appropriate evidence.

Latest papers

CardsList

26 papers2 papers in the last four weeks, down 60% on the four weeks before. 0.0% of all new papers.

  1. Progressive multi-scale tumor-state memory for incomplete multimodal brain tumor segmentation

    Oct 19, 2026Milad Rostamian, Mohammadreza Mohammadi, Mohsen SoryaniMissing-Modality Medical Image SegmentationMedical Image Segmentation

    School of Computer Engineering, Iran University of Science and Technology (IUST), Hengam Street, Resalat Square, 13114-16846, Tehran, Iran

  2. Parameter-Efficient Multimodal Brain Tumor Segmentation With Stage-Wise Shared Adapters

    Oct 13, 2026Milad Rostamian, Mohammadreza Mohammadi, Ender Konukoglu +1Brain Tumor SegmentationCross-Modality Medical Image Segmentation

    School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran · Computer Vision Laboratory, ETH Zurich, 8092 Zurich, Switzerland

  3. FSS-UBrain: Multi-region Few-Shot Brain Tumor MRI Segmentation

    Sep 26, 2026Truong Viet Vu, Nguyen Phuc Nguyen, Dang Thi Thu Hang +4Medical Image SegmentationFew-Shot Medical Image Segmentation

    Faculty of Information Technology, Van Lang School of Technology, Van Lang University, Ho Chi Minh City 70000, Vietnam · Institute of Information Technology and Electrical-Electronics Engineering, Ho Chi Minh City University of Transport, Ho Chi Minh City 70000, Vietnam

  4. VGG16-MCA UNet: Whole-Tumor Segmentation in 2D FLAIR MRI with Decoder-Side Channel Attention

    Sep 20, 2026Shubham Gajjar, Deep Joshi, Avi Poptani +1U-NetChannel Attention

    Northeastern University, Portland, ME, USA · LDRP Institute of Technology and Research, Kadi Sarva Vishwavidyalaya, Sarva Vidyalaya Kelavani Mandal, Gandhinagar, Gujarat, INDIA

  5. NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

    Sep 15, 2026Darius Peteleaza, Razvan-Gabriel Dumitru, Bogdan Neamtu +3BraTS3D CNNs

    Lucian Blaga University of Sibiu, Sibiu, Romania · University of Arizona, Tucson, AZ, USA · Pediatric Clinical Hospital of Sibiu, Sibiu, Romania +2

  6. Sharpening the Ensemble: An SSIM-Aligned Residual Refiner for Brain-MRI Inpainting Post-Processing

    Sep 3, 2026Kubilay Kağan Kömürcü, İlkay ÖksüzBraTSImage Inpainting

    Department of Computer Engineering, Istanbul Technical University, Istanbul, Türkiye

  7. Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

    Sep 2, 2026Henrique Zan Grande, Jeovane Honorio Alves, Rayson Laroca +1Brain Tumor SegmentationBraTS

    Pontifícia Universidade Católica do Paraná (PUCPR), Programa de Pós-Graduação em Informática (PPGIa), Curitiba, Paraná, Brazil · University of Luxembourg, SEDAN - SnT, Luxembourg, Luxembourg

  8. Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

    Jul 30, 2026Danilo Danese, Angela Lombardi, Tommaso Di NoiaVision TransformerBraTS

    Politecnico di Bari, Bari, Italy

  9. Shape-Based Inductive Bias for Glioma Grading from Tumor Contours

    Jul 27, 2026Puneet Velidi, Michelle F. Miranda, Farouk Nathoo +2BraTSGeometric Representation Learning

    Department of Mathematics and Statistics University of Victoria · Department of Computer Science University of Victoria · D´epartement de math´ematiques Universit´e du Qu´ebec `a Montr´eal

  10. DAMamba-UNet3D: A Parameter-Efficient Mamba State Space U-Net with Dynamic Adaptive Scan for 3D Medical Image Segmentation

    Jul 21, 2026Mohammad Arafat Hussain, Ellen Grant, Yangming OuMambaU-Net

    Boston Children’s Hospital, Harvard Medical School

  11. Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation

    Jun 29, 2026Seunghun Baek, Jihwan Park, Jaeyoon Sim +3Representation LearningMultimodal Robustness

    Pohang University of Science and Technology, Pohang, South Korea

  12. Diffusion-Refined Segmentation and Vision-Language Interpretation for Pediatric Brain Tumor MRI

    Jun 12, 2026Wentao Ke, Jianche LiuBraTSDiffusion Models for Medical Image Segmentation

    Department of Mechanical Engineering Stanford University · School of Medicine Stanford University

  13. SegGuidedNet: Sub-Region-Aware Attention Supervision for Interpretable Brain Tumor Segmentation

    May 21, 2026Hasaan Maqsood, Saif Ur Rehman Khan, Sebastian Vollmer +2Image SegmentationBraTS

    National University of Sciences and Technology (NUST), Islamabad, Pakistan. · Department of Computer Science, Rhineland-Palatinate Technical University of Kaiserslautern-Landau, Kaiserslautern, 67663, Germany. · German Research Center for Artificial Intelligence, Kaiserslautern, 67663, Germany. +2

  14. D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities

    May 21, 2026Danish Ali, Ajmal Mian, Naveed Akhtar +1Missing-Modality LearningBraTS

    The University of Western Australia, Perth, WA 6009, Australia · The University of Melbourne, Melbourne, Parkville VIC 3010, Australia

  15. MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation

    May 15, 2026Hanjun Tao, Hua Wang, Fan ZhangMambaBraTS

    Shandong Technology and Business University, China · Ludong University, China

  16. Degradation-Aware Blur-Segmentation of Brain Tumor

    May 15, 2026Yuchun Wang, Xiaosong Li, Gefei Liang +1Cross-Modality Medical Image SegmentationBraTS

    School of Physics and Optoelectronic Engineering, Foshan University, China.

  17. MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift

    May 9, 2026Kiran Naseer, Naveed Anwer ButtDistribution Shift RobustnessBraTS

    University of Gujrat, Pakistan

  18. InfiltrNet: Dual-Branch CNN-Transformer Architecture for Brain Tumor Infiltration Risk Prediction

    May 4, 2026S M Asif Hossain, Shruti KshirsagarHybrid CNN-Transformer ArchitecturesMedical Image Analysis

    School of Computing, Wichita State University, Wichita, Kansas, USA

  19. WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis

    Apr 22, 2026Yalcin Tur, Mihajlo Stojkovic, Ulas BagciFlow MatchingBraTS

    Department of Computer Science, Stanford University, Stanford, CA, USA · Machine and Hybrid Intelligence Lab, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

  20. Adaptive Dual Residual U-Net with Attention Gate and Multiscale Spatial Attention Mechanisms (ADRUwAMS)

    Apr 10, 2026Mohsen Yaghoubi SurakiBrain Tumor SegmentationU-Net

  21. An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net

    Mar 24, 2026MD Rashidul Islam, Bakary GibbaBrain Tumor SegmentationConvolutional Neural Networks

    School of Computing and Informatics Albukhary International University, 05200, Alor Setar, Malaysia

  22. PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation

    Mar 23, 2026Jiacheng Lu, Hui Ding, Shiyu Zhang +1Image SegmentationBrain Tumor Segmentation

    College of Information Engineering, Capital Normal University, Beijing, China · School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing, China

  23. Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts

    Mar 22, 2026Bahram Mohammadi, Ta Duc Huy, Afrouz Sheikholeslami +8Medical Image SegmentationBrain Tumor Segmentation

    Macquarie University, Sydney, NSW, Australia · Adelaide University, Adelaide, SA, Australia · Flinders University, Adelaide, SA, Australia +1

  24. Probing and Inducing Clinical Modality Grounding in Brain Tumor Segmentation

    Mar 20, 2026Lokendra Kumar, Shubham Aggarwal3D Medical Image SegmentationHyper-Connections

  25. Brain Tumor Classification from 3D MRI Using Persistent Homology and Betti Features: A Topological Data Analysis Approach on BraTS2020

    Mar 14, 2026Faisal AhmedBrain Tumor ClassificationBrain MRI

    Department of Data Science and Mathematics, Embry-Riddle Aeronautical University, 3700 Willow Creek Rd, Prescott, 86301, Arizona, USA.

  26. ReFRM3D: A Radiomics-enhanced Fused Residual Multiparametric 3D Network with Multi-Scale Feature Fusion for Glioma Characterization

    Dec 27, 2025Md. Abdur Rahman, Md Noman Hossain, Arefin Ittesafun Abian +4BraTSMedical Image Segmentation

    Applied Artificial Intelligence and Intelligent Systems (AAIINS) Laboratory, Dhaka 1217, Bangladesh · Department of Computer Science and Engineering, United International University, Dhaka, 1212, Bangladesh · Department of Data Science and Artificial Intelligence, Monash University, Clayton, VIC, 3153, Australia +1