Brain MRI

MRI: Magnetic Resonance Imaging

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Overview

Brain MRI research develops methods to measure brain anatomy and detect or characterize conditions such as tumors, multiple sclerosis, stroke, and neurodegeneration. Common approaches include U-Net-style segmentation, transformer and graph models, multimodal learning, and self-supervised foundation models, evaluated on datasets such as BraTS, ADNI, and IBSR. Other work reconstructs or enhances images, estimates biomarkers such as brain age, and uses language models to analyze scans and reports. A central challenge is ensuring that results generalize across scanners, sites, and patient groups while preserving clinically important details and demonstrating value beyond image-similarity scores or benchmark accuracy.

Latest papers

CardsList

129 papers21 papers in the last four weeks, up 31% on the four weeks before. 0.1% of all new papers.

  1. GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models

    May 3, 2026Favour Nerrise, Lucy Yin, Mohammad H. Abbasi +2Alzheimer's DiseaseMedical Imaging Foundation Models

    Stanford University · Stanford University, CA

  2. A Target-Free Harmonization Method for MRI

    May 2, 2026Minjun Kim, Dong Ju Mun, Hwihun Jeong +4Medical Image AnalysisMagnetic Resonance Imaging

    Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea · Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea · Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA +2

  3. BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

    Apr 30, 2026Yizhou Wu, Shansong Wang, Yuheng Li +5Medical Imaging Foundation ModelsSelf-Supervised Pre-Training

    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA. · Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA. · Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. +2

  4. CNN-ViT Fusion with Adaptive Attention Gate for Brain Tumor MRI Classification: A Hybrid Deep Learning Model

    Apr 25, 2026Syed Ibad Hasnain, Muhammad Faris, Hafiza Syeda Yusra Tirmizi +2Hybrid CNN-Transformer ArchitecturesMedical Image Classification

    Department of Biomedical Engineering Hamdard University Karachi, Pakistan. · Department of Biomedical Engineering Sir Syed University Karachi, Pakistan.

  5. an interpretable vision transformer framework for automated brain tumor classification

    Apr 23, 2026Chinedu Emmanuel Mbonu, Tochukwu Sunday Belonwu, Okwuchukwu Ejike Chukwuogo +1Vision TransformerMedical Image Classification

    Department of Computer Science, Nazarbayev University, Astana · Department of Computer Science, Nnamdi Azikiwe University, Nigeria

  6. CAHAL: Clinically Applicable resolution enHAncement for Low-resolution MRI scans

    Apr 20, 2026Sergio Morell-Ortega, Ángela González-Cebrián, Boris Mansencal +8Medical Image Super-ResolutionBrain MRI

    Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain · CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, in2brain, F-33400 Talence, France · Department of Psychobiology, Faculty of Psychology, Universitat de Valencia, Valencia, Spain +6

  7. Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis

    Apr 17, 2026Ayhan Can Erdur, Daniel Scholz, Jiazhen Pan +3Medical Image AnalysisLongitudinal Medical Image Analysis

    Department of Radiation Oncology, TUM University Hospital, Munich, Germany · Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Chair for AI for Image-Guided Diagnosis and Therapy, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany +3

  8. A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction

    Apr 17, 2026Dingyi Zhang, Ruiying Liu, Yun WangBrain Age PredictionNeuroimaging

    Department of Computer Science, Emory University, Atlanta, GA, USA · Department of Biomedical Informatics, Emory University, Atlanta, GA, USA

  9. Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset

    Apr 17, 2026Prabin Bohara, Pralhad Kumar Shrestha, Arpan Rai +8Medical Image SegmentationOncology

    Institute of Engineering, Thapathali Campus, Nepal · Gandaki College of Engineering and Science, Pokhara University, Pokhara, Nepal · Nepal Engineering College, Changunarayan-4, Bhaktapur, Nepal +9

  10. CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder

    Apr 17, 2026Duy-Phuong Dao, Muhammad Taqiyuddin, Jahae Kim +4Latent Diffusion ModelsLongitudinal Medical Image Analysis

    Department of Artificial Intelligence Convergence, Chonnam National University, South Korea · Department of Nuclear Medicine, Chonnam National University, South Korea · University of South Australia, Australia +2

  11. Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration

    Apr 16, 2026Geonwoo Baek, David H. Salat, Ikbeom JangAlzheimer's DiseaseVision Transformer

    Department of Computer Science & Engineering, Hankuk University of Foreign Studies, Seoul, Republic of Korea · Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA · Department of Radiology, Harvard Medical School, Boston, MA, USA +1

  12. Generative Modeling of Complex-Valued Brain MRI Data

    Apr 16, 2026Marco Schlimbach, Moritz Rempe, Jessica Mnischek +4Medical Image SynthesisBrain MRI

    Department of Physics, Technical University Dortmund, Otto-Hahn-Straße 4a, 44227 Dortmund, Germany · Institute for AI in Medicine (IKIM), University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany · 3Cancer Research Center Cologne Essen (CCCE), University Medicine Essen, Hufelandstraße 55, 45147 Essen, Germany +4

  13. Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI

    Apr 6, 2026Mingjie Li, Edward Kim, Yue Zhao +2Vector-Quantized Variational AutoencoderMedical Image Representation Learning

    Stanford University

  14. Automated Detection of Multiple Sclerosis Lesions on 7-tesla MRI Using U-net and Transformer-based Segmentation

    Apr 1, 2026Michael Maynord, Minghui Liu, Cornelia Fermüller +4Medical Image Segmentation3D Medical Image Segmentation

    Department of Computer, Science University of Maryland College Park, College Park, 20742, MD, USA · Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA · Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, MD, 21201, USA

  15. DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI

    Mar 27, 2026Qurat Ul Ain, Alptekin Temizel, Soyiba JawedBrain Disorder ClassificationClassification

    Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan · Graduate School of Informatics, Middle East Technical University, 06800, Ankara, Turkey

  16. Longitudinal Boundary Sharpness Coefficient Slopes Predict Time to Alzheimer's Disease Conversion in Mild Cognitive Impairment: A Survival Analysis Using the ADNI Cohort

    Mar 27, 2026Ishaan CherukuriAlzheimer's Disease Progression PredictionLongitudinal Medical Image Analysis

    Independent Researcher, USA

  17. Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration

    Mar 23, 2026Jiaqi Shang, Haojin Wu, Yinyi Lai +3Medical Image RegistrationDeformable Image Registration

  18. 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.

  19. Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration

    Mar 13, 2026Riccardo Raciti, Lemuel Puglisi, Francesco Guarnera +2NeuroimagingLongitudinal Medical Image Analysis

    Dept. of Math and Computer Science, University of Catania, Viale Andrea Doria, 6, Catania, Italy · MIFT Department, University of Messina, Viale Ferdinando Stagno d’Alcontres 31, Messina, Italy

  20. Agentic LLM Workflow for MR Spectroscopy Volume-of-Interest Placements in Brain Tumors

    Mar 9, 2026Sangyoon Lee, Francesca Branzoli, Małgorzata Marjańska +1Magnetic Resonance SpectroscopyBrain MRI

    Center for Magnetic Resonance Research, University of Minnesota · ICM – Paris Brain Institute

  21. Interpretable Motion Artificat Detection in structural Brain MRI

    Mar 5, 2026Naveetha Nithianandam, Prabhjot Kaur, Anil Kumar SaoImage Quality AssessmentBrain MRI

    Indian Institute of Technology, Madras · Boston Childrens Hospital, Harvard Medical School, Boston, USA · Indian Institute of Technology, Bhilai

  22. A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces

    Mar 4, 2026Lucas He, Krinos Li, Hanyuan Zhang +7NeuroimagingBrain MRI

    Hawkes Institute, University College London, UK · Unit for Lifelong Health and Aging, University College London, UK · Bioengineering Department and Imperial-X, Imperial College London, UK +6

  23. Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

    Mar 4, 2026Mehmet Yigit Avci, Akshit Achara, Andrew King +1Medical Image AnalysisAlgorithmic Bias

    and for the Alzheimer's Disease Neuroimaging Initiative · King’s College London, UK

  24. DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

    Mar 4, 2026Youngmin Kim, Jaeyun Shin, Jeongchan Kim +5Magnetic Resonance ImagingUnpaired Image-to-Image Translation

    Korea University, Seoul, Republic of Korea · KAIST, Daejeon, Republic of Korea · NYU Langone Health, New York, NY, USA

  25. 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

  26. MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis

    Feb 26, 2026Feng Guo, Jiaxiang Liu, Yang Li +2Medical Image BenchmarksBrain MRI

    Guangdong Institute of Intelligence Science and Technology, Hengqin, China · Center for Brain-Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing, China

  27. Virtual Biopsy for Intracranial Tumors Diagnosis on MRI

    Feb 25, 2026Xinzhe Luo, Shuai Shao, Yan Wang +3Brain Tumor ClassificationBrain MRI

    School of Artificial Intelligence and Data Science, University of Science and Technology of China

  28. 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

  29. BrainRotViT: Transformer-ResNet Hybrid for Explainable Modeling of Brain Aging from 3D sMRI

    Nov 19, 2025Wasif Jalal, Md Nafiu Rahman, Atif Hasan Rahman +1Brain Age PredictionBrain MRI

    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology

  30. BrainNormalizer: Anatomy-Informed Pseudo-Healthy Brain Reconstruction from Tumor MRI via Edge-Guided ControlNet

    Nov 17, 2025Min Gu Kwak, Yeonju Lee, Hairong Wang +2Diffusion Models for Image RestorationMedical Image Synthesis

    Department of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA · H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA,2026 USA · Operations Research and Industrial Engineering, Cockrell School of Engineering, University of Texas at Austin, Austin, TX, USAJul +2