Brain Tumor Segmentation

Latest papers 76

14 papers in the last four weeks, up 56% on the four weeks before. 0.1% of all new papers.

The Federated Tumor Segmentation and Classification (FeTS++) Challenge
Oct 13, 2026Wenyi Tang, Carla Pitarch-Abaigar, Siddhesh Thakur +5Medical Image Segmentation Medical Image Benchmarks
Research Center for Federated Learning in Medicine, Indiana University School of Medicine, Indianapolis, IN, USA. · Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA. · Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA. +5
Parameter-Efficient Multimodal Brain Tumor Segmentation With Stage-Wise Shared Adapters
Oct 13, 2026Milad Rostamian, Mohammadreza Mohammadi, Ender Konukoglu +1Brain Tumor Segmentation Cross-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
BaT-SAM: Introducing Inductive Bias into SAM via a Mixture of Convolutional Experts for Brain Tumor Segmentation
Oct 11, 2026Sumiaya Jannat, Md Mahedi Hasan, Md Shamimul Islam +1Medical Image Segmentation Brain Tumor Segmentation
Mymensingh Medical College Mymensingh, Bangladesh · Department of LCSEE West Virginia University Morgantown, WV, USA · Department of CS Florida Polytechnic University Lakeland, Florida, USA +1
Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation
Oct 8, 2026Sol Lee, Hyunji Kim, Sungrae Hong +2Probability Calibration Brain Tumor Segmentation
Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Quantifying Volumetric Risk: Class-Aware Asymmetric Weighted Conformal Prediction for 3D Medical Image Segmentation
Oct 7, 2026Shadi Alijani, Fereshteh Aghaee Meibodi, Homayoun NajjaranConformal Prediction Segmentation Uncertainty Estimation
University of Victoria, 800 Finnerty Road, Victoria, BC, Canada
Active-DiNTS: Active Differentiable Network Topology Search
Oct 3, 2026Gean Trindade Pereira, Thierry Urruty, Muriel Visani +1Neural Architecture Search 3D Medical Image Segmentation
Institute of Mathematics and Computer Sciences (ICMC) University of São Paulo São Carlos, 13560-970, São Paulo, Brazil · XLIM, Université de Poitiers Université de Limoges, CNRS Poitiers, 86000, Vienne, France · Laboratoire Informatique, Image et Interaction (L3i) La Rochelle Université La Rochelle, 17042, Charente-Maritime, France
Uncertainty-Guided Handshake: Efficient Human-in-the-Loop Refinement for Surgical-Grade Glioma Segmentation
Oct 1, 2026Samuel Hart, Ahmad Yahya, Ahmed Karam EldalyInteractive Medical Image Segmentation Human-in-the-Loop Annotation
Department of Computer Science, University of Exeter, Exeter, EX4 4QF, United Kingdom. · Department of Nuclear Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia. · UCL Hawkes Institute, University College London, Gower St., London, WC1E 6AE, United Kingdom.
Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification
Sep 30, 2026Gonzalo Esteban Mosquera Rojas, Sebastian R. van der Voort, Carolin M. Pirkl +3Uncertainty Quantification Brain Tumor Classification
Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands · Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands · GE HealthCare, Munich, Germany +3
CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
Sep 28, 2026Md Shibly Sadique, Md Fayaz Bin Hossen, Michael L. Evans +4Class-Imbalanced Learning Data Augmentation
Vision Lab, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA · Interdisciplinary Schools, Old Dominion University, Norfolk, VA 23529, USA
FSS-UBrain: Multi-region Few-Shot Brain Tumor MRI Segmentation
Sep 26, 2026Truong Viet Vu, Nguyen Phuc Nguyen, Dang Thi Thu Hang +4Medical Image Segmentation Few-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
Lightweight Vision Transformer-Based U-Net for Brain Tumor Segmentation from MRI
Sep 24, 2026Sheekar Banerjee, Md. Srabon Chowdhury, Md. Mahbub Hasan Akash +1Hybrid CNN-Transformer Architectures Vision Transformer
Department of CSE, IUBAT, Dhaka, Bangladesh
Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison
Sep 21, 2026Mahdi Islam, Musarrat TabassumU-Net Medical Image Segmentation
Center for Computational & Data Sciences, Independent University, Bangladesh · Department of Electrical and Electronic Engineering, Independent University, Bangladesh · Independent Researcher
VGG16-MCA UNet: Whole-Tumor Segmentation in 2D FLAIR MRI with Decoder-Side Channel Attention
Sep 20, 2026Shubham Gajjar, Deep Joshi, Avi Poptani +1U-Net Channel Attention
Northeastern University, Portland, ME, USA · LDRP Institute of Technology and Research, Kadi Sarva Vishwavidyalaya, Sarva Vidyalaya Kelavani Mandal, Gandhinagar, Gujarat, INDIA
NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI
Sep 15, 2026Darius Peteleaza, Razvan-Gabriel Dumitru, Bogdan Neamtu +3BraTS 3D CNNs
Lucian Blaga University of Sibiu, Sibiu, Romania · University of Arizona, Tucson, AZ, USA · Pediatric Clinical Hospital of Sibiu, Sibiu, Romania +2
De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation
Sep 15, 2026Zoha Usama, Azadeh AlaviMedical Image Segmentation 3D Medical Image Segmentation
School of Computing Technologies, Royal Melbourne Institute of Technology University (RMIT), Melbourne, Australia
Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026
Sep 14, 2026Tristan Kirscher, Vivian Metzger, Philippe Meyer +1Neural Network Generalization U-Net
ICube, Institut Strauss · Institut Strauss · Institut Strauss, ICube
Pre- and Post-Treatment Brain Metastases Segmentation Using nnU-Net with Post-Processing for BraTS 2026
Sep 10, 2026Haobin Liu, Xin WangMedical Image Segmentation Medical Image Benchmarks
College of Software, Jilin University, Changchun, China · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
LASSNet: Level-Aware Availability-Conditioned Spatial-Semantic Fusion for Brain Tumor Segmentation with Missing MRI Modalities
Sep 6, 2026Haobin Chen, Ao Chang, Rundong Wang +3Medical Image Segmentation Brain Tumor Segmentation
School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, China · Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE) Lab, YRD-RIGHT, Suzhou Institute for Advanced Research, USTC, Suzhou, Jiangsu, 215123, China · College of Information Science and Technology, Donghua University
Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation
Sep 6, 2026Libing Kuang, Soren Salehi, Ziling Wu +2Medical Image Segmentation 3D Medical Image Segmentation
School of Computer Science, University of Nottingham, Nottingham, UK · Electrical Engineering Department, Sharif University of Technology, Tehran, Iran · University of Pittsburgh, Pittsburgh, PA, USA
Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations
Sep 2, 2026Henrique Zan Grande, Jeovane Honorio Alves, Rayson Laroca +1Brain Tumor Segmentation BraTS
Pontifícia Universidade Católica do Paraná (PUCPR), Programa de Pós-Graduação em Informática (PPGIa), Curitiba, Paraná, Brazil · University of Luxembourg, SEDAN - SnT, Luxembourg, Luxembourg
On the Role of MRI Sequences in Cross-Dataset Generalization for Brain Tumor Segmentation
Aug 30, 2026Henrique Zan Grande, João G. Pitol, Lucas B. Schuck +3Domain Adaptation Magnetic Resonance Imaging
Pontifical Catholic University of Paraná, Curitiba, Brazil
Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation
Aug 24, 2026Mohammad Mahdi Danesh Pajouh, Sara SaeediMedical Image Segmentation Brain Tumor Segmentation
University of Calgary
MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalities
Aug 20, 2026Tarun Kumar Garg, Vaanathi SundaresanWeakly Supervised Image Segmentation Multimodal Federated Learning
Department of IISc Mathematics Initiative, Indian Institute of Science, Bengaluru 560012, Karnataka, India · Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560012, Karnataka, India
CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking
Aug 18, 2026Alexandre G. Leclercq, Noémie N. Moreau, Hugo Audebert +21Medical Image Benchmarks Brain Tumor Segmentation
Artificial Intelligence Department, Centre Franc¸ois Baclesse, 14000 Caen, France · Universit´e de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France · Universit´e Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France +4
GSToken: Geometry-Structured Gaussian Tokens for Compact 3D Medical Image Representation
Aug 18, 2026Xiaoduo Li, Quan GuMedical Image Representation Learning Multimodal Token Compression
Taiyuan University of Technology · independent researcher
Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty
Aug 13, 2026Riya Deepak Shet, Chenxi Liang, Le ZhangUncertainty Quantification Neural Network Robustness
Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom
M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentation
Aug 12, 2026Jing Zhu, Ye Wang, Fumin WangU-Net Inductive Bias
School of Physics, Xi’an Jiaotong University, Xi’an 710049, China · University of Sydney, Sydney, NSW 2006, Australia
Text-Guided Refinement of Multi-sequence Glioma Subregion Segmentation with a Vision-Language Foundation Model
Aug 5, 2026Zach Eidex, Yu-nong Lin, Mojtaba Safari +4Interactive Medical Image Segmentation Medical Imaging Foundation Models
Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA · Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA · Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation
Aug 1, 2026Muhammad Irfan Khan, Eero Lehtonen, Joni Obradovic +4Federated Learning Aggregation Non-IID Federated Learning
Turku University of Applied Sciences, Turku 20520, Finland
A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging
Jul 30, 2026Diego J. Torrejón, Luna Y. Hernández, Javier Sánchez3D ViTs 3D Medical Image Segmentation
Centro de Tecnologías de la Imagen (CTIM) Instituto Universitario de Cibernética, Empresas y Sociedad (IUCES) University of Las Palmas de Gran Canaria 35017 Las Palmas de Gran Canaria, Spain · Centro de Tecnologías de la Imagen (CTIM) Instituto Universitario de Cibernética, Empresas y Sociedad (IUCES) University of Las Palmas de Gran Canaria2026 35017 Las Palmas de Gran Canaria, Spain

Oct 13, 2026J/K move · Enter open · S save

The Federated Tumor Segmentation and Classification (FeTS++) Challenge

Wenyi Tang, Carla Pitarch-Abaigar, Siddhesh Thakur, Verena Chung+4

Research Center for Federated Learning in Medicine, Indiana University School of Medicine, Indianapolis, IN, USA. · Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA. · Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA.+5

Medical Image Segmentation Medical Image Benchmarks Brain Tumor Segmentation Federated Learning Brain Tumor Classification Federated Learning Aggregation

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International challenges have become the standard for developing and benchmarking biomedical image analysis methods using centralized multi-institutional data. Federated learning (FL) describes a paradigm-shift on multi-institutional collaborations, where models are trained across institutions while their data are always retained locally. The Federated Tumor Segmentation (FeTS) challenge, first held in 2021, was the first challenge dedicated to FL in medical imaging and editions in 2022 and 2024 pushed the frontiers of real-world method validation. FeTS++ 2027 returns after a two-year gap with a substantially larger and more diverse cohort, and with the two "pluses" that name the challenge: an official classification task alongside segmentation, and a move of the infrastructure to NVIDIA FLARE (NVFlare). Built on the clinically acquired, multi-institutional multi-parametric MRI data of the BraTS 2025 Lighthouse challenge, FeTS++ spans gliomas and meningiomas across patient cohorts from institutions in North America, Europe, Asia, and Africa, and focuses on ranking submitted methodological approaches according to their model utility and an efficiency-aware score. Task 1 asks participants to find the best strategy for aggregating knowledge from per-institution segmentation models, while Task 2 asks them to distinguish glioma from meningioma under the same federated protocol, in which the entity label is heavily confounded with the site of origin.