Brain Tumor Segmentation

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

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  1. 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

  2. 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

  3. DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation

    Mar 22, 2026Bahram Mohammadi, Yanqiu Wu, Vu Minh Hieu Phan +6Medical Image SegmentationBrain Tumor Segmentation

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

  4. 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

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

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

  6. LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

    Mar 18, 2026Mohammad Robaitul Islam Bhuiyan, Sheethal Bhat, Melika Qahqaie +4Image SegmentationMedical Imaging Foundation Models

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Siemens Healthineers, Erlangen, Germany

  7. Ensemble Learning with Sparse Hypercolumns

    Mar 6, 2026Julia Dietlmeier, Vayangi Ganepola, Oluwabukola G. Adegboro +3Few-Shot Medical Image SegmentationEnsemble Learning

    Insight Research Ireland Centre for Data Analytics, Dublin City University, Glasnevin 9, Dublin, Ireland · Research Ireland Centre for Research Training in Machine Learning (ML-Labs), Dublin City University, Glasnevin 9, Dublin, Ireland · School of Computing, Dublin City University, Glasnevin 9, Dublin, Ireland

  8. Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation

    Mar 5, 2026Hong Liu, Dong Wei, Qian Dai +3Federated LearningMultimodal Federated Learning

    National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361005, Fujian, China · Jarvis Research Center, Tencent YouTu Lab, Shenzhen, 518075, Guangdong, China · Department of Computer Science at School of Informatics, Xiamen University, Xiamen, 361005, Fujian, China +1

  9. Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation

    Mar 5, 2026SangHyuk Kim, Daniel Haehn, Sumientra RampersadMedical Image AnalysisBrain Tumor Segmentation

    University of Massachusetts Boston

  10. Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper

    Mar 5, 2026Kiranmayee Janardhan, Vinay Martin DSa Prabhu, T. Christy BobbyBrain Tumor SegmentationBrain Tumor Classification

    Department of Electronics and Communications, Ramaiah University of Applied Sciences 4th Phase, Peenya, Bengaluru, Karnataka, India · Department of Radiology, Ramaiah Memorial Hospital and Medical College MSR Nagar, MSRIT Post, Bengaluru, Karnataka, India

  11. Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models

    Feb 26, 2026Chi-Sheng Chen, Xinyu Zhang, Guan-Ying Chen +3Medical Imaging Foundation ModelsBrain MRI

    Independent Researcher, USA · Indiana University at Bloomington, United States · Independent Researcher, Taiwan +3

  12. Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment

    Feb 25, 2026T. Schaffer, A. Brawanski, S. Wein +2Brain Tumor Segmentation

    CIML Group, Biophysics, University of Regensburg, 93040 Regensburg, Germany · Department of Neurosurgery , University Hospital Regensburg, 93042 Regensburg, Germany · Department of Biomedical Imaging, University Hospital Regensburg, 93042 Regensburg, Germany +1

  13. Multimodal MRI Report Findings Supervised Brain Lesion Segmentation with Substructures

    Feb 24, 2026Yubin Ge, Yongsong Huang, Xiaofeng LiuMedical Image SegmentationBrain Tumor Segmentation

    Amazon AWS · Yale University · Tohoku University

  14. HD-TTA: Hypothesis-Driven Test-Time Adaptation for Safer Brain Tumor Segmentation

    Feb 23, 2026Kartik Jhawar, Lipo WangTest-Time AdaptationMedical Image Segmentation

  15. 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

  16. A Multimodal Feature Distillation with Mamba-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities

    Apr 22, 2024Ming Kang, Fung Fung Ting, Shier Nee Saw +3Cross-Modal Knowledge DistillationCross-Modality Medical Image Segmentation

    School of Information Technology, Monash University, Malaysia Campus, Subang Jaya 47500, Malaysia · Augmented Intelligence and Multimodal analytics (AIM) for Health Lab, Faculty of Information Technology, Monash University, Clayton VIC 3800, Australia · Monash Medical AI Group, Monash University, Clayton VIC 3800, Australia +1