Brain Tumor Segmentation

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Period ending 2026-09-21

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Period ending 2026-09-14

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Period ending 2026-09-07

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  1. Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison

    Sep 21, 2026Mahdi Islam, Musarrat TabassumBrain Tumor Segmentation

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

    Sep 20, 2026Shubham Gajjar, Deep Joshi, Avi Poptani +1Brain Tumor Segmentation

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

    Sep 15, 2026Darius Peteleaza, Razvan-Gabriel Dumitru, Bogdan Neamtu +3Brain Tumor SegmentationMagnetic Resonance Imaging

  4. De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation

    Sep 15, 2026Zoha Usama, Azadeh AlaviBrain Tumor SegmentationMedical Image Segmentation

  5. A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data

    Sep 15, 2026Yinong Wang, Jianwen Chen, Zhou Chen +28Brain Tumor ClassificationGlioma

  6. Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

    Sep 14, 2026Tristan Kirscher, Vivian Metzger, Philippe Meyer +1Brain Tumor SegmentationBrain Tumor Classification

  7. Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

    Sep 14, 2026Yeonjae Jung, Minwoo ShinGliomaPrognostics

  8. Pre- and Post-Treatment Brain Metastases Segmentation Using nnU-Net with Post-Processing for BraTS 2026

    Sep 11, 2026Haobin Liu, Xin WangBrain Tumor SegmentationU-Net

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

    Sep 3, 2026Kubilay Kağan Kömürcü, İlkay ÖksüzBrain Tumor SegmentationDiffusion Refinement

  10. 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 +3Brain Tumor SegmentationMagnetic Resonance Imaging

  11. Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty

    Aug 13, 2026Riya Deepak Shet, Le ZhangBrain Tumor SegmentationEnsemble

  12. Text-Guided Refinement of Multi-sequence Glioma Subregion Segmentation with a Vision-Language Foundation Model

    Aug 5, 2026Zach Eidex, Yu-nong Lin, Mojtaba Safari +4Brain Tumor SegmentationVision-Language

  13. NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical Narratives

    Aug 4, 2026Yantong Liu, Zheyu Zhang, Runpeng Liu +3GliomaNeuroimaging Models

  14. Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation

    Aug 1, 2026Muhammad Irfan Khan, Eero Lehtonen, Joni Obradovic +4Federated LearningBrain Tumor Segmentation

  15. 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 SánchezBrain Tumor SegmentationMagnetic Resonance Imaging

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

    Jul 30, 2026Danilo Danese, Angela Lombardi, Tommaso Di NoiaBrain Tumor SegmentationInpainting

  17. DS@GT ARC at MEDIQA-CORE-Task-1 2026: Trimodal Model Fusion with Task-Specific Gates for Brain Tumor Subtype Classification

    Jul 30, 2026Hoang Thanh Thanh Truong, Charles R. ClarkBrain Tumor ClassificationMultimodal Fusion

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

    Jul 27, 2026Puneet Velidi, Michelle F. Miranda, Farouk Nathoo +2GliomaStatistical Shape Model

  19. Segmentation Robustness and Predictive Utility in Glioblastoma Radiomics: Evidence for a Trade-off in Survival Modelling

    Jul 26, 2026Mariya Miteva, Maria Nisheva-PavlovaRadiomicsGlioma

  20. GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels

    Jul 24, 2026Xingyu Xiang, Shuang Hao, Fan Wang +2Brain Tumor SegmentationBrain Tumor Classification

  21. Post-Operative Glioma Segmentation via Loss Stabilization, Normalization and Subspace Attention

    Jul 23, 2026Alexandru Crişan, Diana BorzaBrain Tumor SegmentationSwin

  22. FSB-Net: Frequency-Spatial Boundary Network for Brain Stroke Lesion Segmentation in Non-Contrast CT

    Jul 23, 2026Linke Fan, Xianglong Li, Huixin Huang +1Brain Tumor SegmentationStroke

  23. StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

    Jul 22, 2026Youwan Mahé, Axel Plessis, Stéphanie Leplaideur +3Brain Tumor SegmentationStroke

  24. MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

    Jul 21, 2026Andrea Borghesi, Xin Wang, Jonas Teuwen +1Adaptive Histogram EqualizationLesion

  25. AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling

    Jul 15, 2026Wenxi Liu, Michael Trimboli, Xianqi LiCognitive Digital TwinsBrain Tumor Classification

  26. Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An nnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge

    Jul 14, 2026Inhwa Son, Gaeun Lee, Sohyeon Sim +1Brain Tumor SegmentationLesion Segmentation

  27. TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification

    Jul 11, 2026Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K SrikanthGliomaLesion Segmentation

  28. Generative Augmentation of Raman Spectra for Glioma Classification

    Jul 11, 2026Andrei Iuşan, Iulian Vasile, Daria Voiculescu +4RamanGlioma

  29. TRACE-Seg3D: Counterfactual Context Auditing For Robust 3D Glioma Segmentation Under Institutional Shift

    Jul 8, 2026Nguyen Linh Dan Le, Nguyen Pham Hoang Le, Tran Dang KhoiBrain Tumor SegmentationMedical Image Segmentation

  30. RUFNet: Query-Guided Support Mask Refinement and Uncertainty Fusion based on Hybrid Mamba for Few-Shot Brain Tumor Segmentation

    Jul 6, 2026Dongyi He, Xiangkai Wang, Binbing Xu +5Brain Tumor SegmentationUncertainty-Aware Fusion

  31. A Novel Machine Learning Approach for Central Nervous System Tumor Classification from DNA Methylation

    Jul 1, 2026Paulo R. Ferreira, Lucas Coutinho Freitas, Laís dos Santos Gonçalves +4GliomaNon-Small Cell Lung Cancer

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

    Jun 29, 2026Seunghun Baek, Jihwan Park, Jaeyoon Sim +3Brain Tumor SegmentationMagnetic Resonance Imaging

  33. TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment

    Jun 29, 2026Alia Tarek, Hamsa Saberr, Hamza Elghonemy +6GliomaConcept Bottleneck Models

  34. Automated brain tumor detection in MRI images using CNN and ResNet architectures

    Jun 25, 2026Annapurna V K, Asha N, K Paramesha +2Brain Tumor ClassificationBrain Tumor Segmentation

  35. Spatio-Temporal Mixture-of-Modality-Experts Diffusion for Quantitative DCE-MRI Synthesis from Incomplete MR Sequences

    Jun 24, 2026Junhyeok Lee, Kyu Sung ChoiMagnetic Resonance ImagingMedical Image Generation

  36. Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis

    Jun 24, 2026Salman Shaik, Truong Thanh Hung Nguyen, Hung Cao3D Latent Diffusion ModelIdentity-Conditioned Latent Diffusion Models

  37. Multi-cancer detection using a computationally efficient CNN with transfer learning

    Jun 21, 2026Vasileios E. Papageorgiou, Georgios Petmezas, Dimitrios-Panagiotis Papageorgiou +2Brain Tumor ClassificationConvolutional Neural Networks

  38. When Calibration Fails the Vulnerable Hospital: Federated Conformal Risk Control via Risk-Curve Shrinkage

    Jun 18, 2026Nafis Fuad ShahidConformal Risk ControlBrain Tumor Classification

  39. Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation

    Jun 17, 2026Xin Ci Wong, Duygu Sarikaya, Kieran Zucker +2Brain Tumor SegmentationCalibrated Uncertainty

  40. Multi-Class Brain Tumor Classification Using Advanced Deep Learning Models: A Comparative Study

    Jun 17, 2026Asad Channa, Asghar Ali Chandio, Akhtar Hussain Jalbani +2Brain Tumor ClassificationDeep Learning

  41. BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection

    Jun 17, 2026Md Taimur Ahad, Bo Song, Yan LiBrain Tumor ClassificationMagnetic Resonance Imaging

  42. Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical Masks

    Jun 16, 2026Muge Zhang, Muhammad Ali Khaliq, Jamal Alsakran +2Medical Image Generation3D Latent Diffusion Model

  43. CoMNet: A MedNeXt-CorrDiff Framework for Multi-Site Brain Tumor Segmentation

    Jun 13, 2026Michael L. Evans, MD Fayaz Bin Hossen, MD Shibly Sadique +2Brain Tumor SegmentationResidual Learning

  44. Trimodal Glioma Representation Alignment via Volumetric Contrastive Learning

    Jun 12, 2026Denise Marini, Eleonora Grassucci, Danilo ComminielloGliomaMultimodal Alignment

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

    Jun 12, 2026Wentao Ke, Jianche LiuBrain Tumor SegmentationDiffusion Refinement

  46. Unified MRI Brain Image Translation via Hierarchical Tumor Structure Comparison

    Jun 11, 2026Yupeng Cai, Jia Wei, Jianlong ZhouBrain Tumor SegmentationDual-Domain Equivariant Generative Adversarial Network

  47. Multimodal Brain Tumour Classification Using Feature Fusion

    Jun 9, 2026Wajih ul Islam, Muhammad Yaqoob, Javed Ali Khan +1Brain Tumor ClassificationRadiomics

  48. The Dark Regulome: Disentangling Predictability from Regulation in Genomic Foundation Models

    Jun 5, 2026Chahat Baranwal, Aaditya Baranwal, Lakshya Nitin TandonGene-Regulatory NetworksGenomics

  49. Do Foundation Models See Biology? Evaluating Attention Coherence with Spatial Transcriptomics in Glioblastoma

    Jun 3, 2026Dilakshan Srikanthan, Amoon Jamzad, Paul Wilson +5Pathology Foundation ModelsSpatial Transcriptomics

  50. ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI

    May 31, 2026Ashiqur Rahman, Muhammad E. H. Chowdhury, Md. Abu Sayed +3Brain Tumor SegmentationMagnetic Resonance Imaging

  51. Bridging Topology and Deep Representation Learning: A TDA-ViT Fusion Model for Four-Class Brain Tumor Classification

    May 30, 2026Faisal AhmedBrain Tumor ClassificationMedical Imaging

  52. A Novel Global Context-aware Deep Neural Network for Enhanced Brain Tumor Segmentation using Magnetic Resonance Images

    May 28, 2026Sourjya Mukherjee, Ananya Bhattacharjee, R. MuruganBrain Tumor SegmentationMagnetic Resonance Imaging

  53. Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation

    May 26, 2026Zijian Du, Oleg RybakovSwinResnet-18

  54. ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

    May 23, 2026Toufiq Musah, Salvatore Calcagno, Federica Proietto Salanitri +3Magnetic Resonance ImagingMedical Image Generation

  55. GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences

    May 22, 2026Pengfei Song, Fangjin Liu, Wenwen Zeng +5GliomaMagnetic Resonance Imaging

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

    May 21, 2026Hasaan Maqsood, Saif Ur Rehman Khan, Sebastian Vollmer +2Brain Tumor SegmentationBrain Tumor Classification

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

    May 21, 2026Danish Ali, Ajmal Mian, Naveed Akhtar +1Brain Tumor SegmentationMissing Modalities

  58. Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings

    May 19, 2026Sumanth Meenan Kanneti, Aryan ShahBrain Tumor ClassificationMedical Image Classification

  59. UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation

    May 16, 2026Shiv Ghosh, Junayd Lateef, Chih-Hua Liu +3Brain Tumor ClassificationTextvqa

  60. Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities

    May 16, 2026Sha Tao, Jiao Pan, Yu Guo +1Brain Tumor SegmentationMissing Modalities