Diffusion MRI

MRI: Magnetic Resonance Imaging

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3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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  1. A foundation for systematic analysis of transformers and RNNs for tractography

    Oct 1, 2026Emmanuelle Renauld, Philippe Poulin, Hugo Larochelle +2Recurrent Neural NetworksRecurrent Transformers

    Computer Sciences Department, Université de Sherbrooke · Mila, Université de Montréal · Imeka Solutions Inc, Sherbrooke, QC, Canada

  2. Fiber-Resolved Microstructure Quantification from Multi-Shell Diffusion MRI using Detection Transformers

    Sep 30, 2026Sebastian Endt, Marcus Wirth, Johannes Reinhold Schlund +1Diffusion MRI

    AImotion Bavaria, Technische Hochschule Ingolstadt, Ingolstadt, Germany · TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany · TUM School of Natural Sciences, Technical University of Munich, Garching, Germany

  3. GraphSVR: q-Space--Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI

    Sep 21, 2026Noga Kertes, Daphna Link Sourani, Alex M. Bronstein +1Medical Image RegistrationDiffusion MRI

    Faculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa, Israel · The May-Blum-Dahl MRI Research Center, Faculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa, Israel · The Taub Faculty of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel +1

  4. Diffusion-Encoding Gaussian Field for Joint k-q dMRI Reconstruction

    Sep 2, 2026Zhibo Chen, Yajuan Huang, Yu Guan +3Image ReconstructionDiffusion MRI

    School of Information Engineering, Nanchang University, Nanchang 330031, China

  5. Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution

    Sep 1, 2026Abdulkader Ghandoura, Marsil Zakour, William Consagra +1Implicit Neural RepresentationsMedical Image Super-Resolution

    Psychiatry Neuroimaging Laboratory Brigham and Women’s Hospital Harvard Medical School Boston, MA, USA · School of Computation, Information and Technology Technical University of Munich Munich, Germany · Department of Statistics University of South Carolina Columbia, SC, USA

  6. A Deep RL based Framework for Targeted White Matter Tractography

    Aug 13, 2026Ankita JoshiReinforcement LearningMagnetic Resonance Imaging

    SCHOOL OF COMPUTING AND ELECTRICAL ENGINEERING, INDIAN INSTITUTE OF TECHNOLOGY MANDI · Indian Institute of Technology Mandi, 175005 - INDIA

  7. MRI super-resolution in ten sampling steps using a diffusion bridge model

    Aug 9, 2026Mojtaba Safari, Hang Yu, Zach Eidex +10Medical Image Super-ResolutionDiffusion-Based Inverse Problems

    Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, United States · Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States · Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States +3

  8. Protocol generalisation for brain tissue microstructure estimation via hypernetwork-controlled geometric deep learning

    Aug 3, 2026Andrea Brigliadori, Leevi Kerkela, Hui ZhangEquivariant Neural NetworksMagnetic Resonance Imaging

    Hawkes Institute and Department of Computer Science, University College London, London, United Kingdom

  9. Eddeep: a deep-learning framework for fast eddy-current distortion correction in diffusion MRI

    Jul 28, 2026Antoine Legouhy, Ross Callaghan, Yuchuan Qiao +4Medical Image RegistrationMagnetic Resonance Imaging

    Hawkes Institute & Department of Computer Science, University College London, London, UK · Institut Pasteur, Université Paris Cité, Unité de Neuroanatomie Appliquée et Théorique, France · AINOSTICS ltd., Manchester, UK +3

  10. SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasets

    Jul 22, 2026Tom Hendriks, William Consagra, Anna Vilanova +2Implicit Neural RepresentationsUncertainty Quantification

    Department of Computer Science and Mathematics, Eindhoven University of Technology, Groene Loper 5, Eindhoven, 5612 AP, Noord-Brabant, The Netherlands. · Department of Statistics, University of South Carolina, Columbia, 29225, South Carolina, United States of America. · Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, 399 Revolution Drive, Boston, 02215, MA, United States.

  11. EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI

    Jul 3, 2026Hasan Ulutas, Muhammet Emin Sahin, Mustafa Fatih Erkoc +4U-NetMagnetic Resonance Imaging

    Yozgat Bozok University, Department of Computer Engineering, Yozgat, Turkey · Izmir Bakircay University, Department of Computer Engineering, Izmir, Turkey · Queen Mary’s Digital Environment Research Institute (DERI), London, UK +3

  12. High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction

    Jul 1, 2026Yu Guan, Tianjia Huang, Qinrong Cai +3Diffusion Models for Image RestorationAccelerated MRI Reconstruction

  13. BrainFIBRE: A Foundation Model via Information Decomposition for Brain Microstructure

    Jul 1, 2026Zijian Dong, Yi Lin, Ji Fang +3Disentangled Representation LearningMedical Imaging Foundation Models

    National University of Singapore, Singapore

  14. Distortion-Corrected Diffusion MRI Using Rotated-View EPI and Joint Field-Map/Image Estimation with Gaussian Primitives

    Jun 30, 2026Wenqi Huang, Zhitao Li, Nan Wang +8Image ReconstructionMagnetic Resonance Imaging

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, and the School of Computation, Information and Technology, TUM, Munich, Germany · Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China · Department of Radiology, Stanford University, Stanford, CA, USA +2

  15. Measured-Subspace Consistency: A Plug-and-Play Operator for Diffusion Posterior Sampling in Accelerated MRI Reconstruction

    Jun 26, 2026Junhyeok Lee, Kyu Sung ChoiBayesian Inverse ProblemsAccelerated MRI Reconstruction

    Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine · Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital · Healthcare AI Research Institute, Seoul National University Hospital

  16. TensorLDM: A Component-Wise Latent Diffusion Model for Volumetric DTI Reconstruction from Sparse DWIs

    Jun 24, 2026Junhyeok Lee, Kyu Sung ChoiLatent Diffusion ModelsAccelerated MRI Reconstruction

    Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine · Department of Radiology, Seoul National University Hospital · Department of Radiology, Seoul National University College of Medicine +1

  17. Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

    Jun 24, 2026Haoyu Lan, Jiazhen Zhang, John Onofrey +4Diffusion Models for Image RestorationMedical Image Super-Resolution

    University of Southern California · Yale University

  18. BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

    Jun 17, 2026Max Van Puyvelde, Ibrahim Gulluk, Wim Van Criekinge +1Masked AutoencodersLatent Diffusion Models

    Department of Biomedical Data Science, Stanford University School of Medicine · Department of Mathematical Modelling, Statistics & Bioinformatics, Ghent University · Department of Electrical Engineering, Stanford University

  19. Lesion-DDPM: Lesion-Enhanced 3D Diffusion for MS MRI Synthesis

    Jun 13, 2026Weidong Zhang, Yongchan Jung, Shafayat Mowla Anik +5Medical Image SynthesisDiffusion MRI

    Northeastern University, Vancouver, BC · Fairleigh Dickinson University, Vancouver, BC · University of Colorado at Colorado Springs, Colorado Springs, CO +2

  20. Tractogram foundation model

    Jun 3, 2026Guikun Chen, Yuqian Chen, Yijie Li +5Medical Imaging Foundation ModelsRepresentation Learning

    The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou 310058, Zhejiang, China · Department of Radiology, Brigham and Women’s Hospital, Mass General Brigham, Boston 02115, Massachusetts, USA · Harvard Medical School, Boston 02115, Massachusetts, USA +4

  21. An Attention-Based Denoising Model for Diffusion Weighted Imaging

    Jun 2, 2026Prithviraj Verma, Pawan Kumar, Chandan Deshani +1Magnetic Resonance ImagingDiffusion MRI

    Institute of Infrastructure Technology Research and Management (IITRAM), India · University of Sheffield, United Kingdom

  22. Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning

    Jun 1, 2026Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3Parameter EstimationDistribution Shift

    Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada · Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, New York, USA · Cardiff University Brain Research Imaging Center (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom +3

  23. Wavelet-Fusion Diffusion Model for Multimodal Brain MRI Synthesis with Modality and Metadata Conditioning

    May 30, 2026Muhammad Nabi Yasinzai, Remika Mito, Mangor PedersenVariational AutoencodersLatent Diffusion Models

    Department of Psychology & Neuroscience, Auckland University of Technology, Auckland, New Zealand. · Department of Psychiatry, University of Melbourne, Melbourne, Victoria 3053, Australia. · Auckland University of Technology, Auckland, New Zealand.

  24. AutoIQ: An Ensemble Framework for Automatic Assessment of Geometric Distortion in Prostate Diffusion-Weighted Imaging

    May 29, 2026Haoran Sun, Lixia Wang, Yin-Chen Hsu +13Medical ImagingMagnetic Resonance Imaging

    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA · Siemens Medical Solutions USA Inc., Los Angeles, CA, USA · Siemens Healthineers AG, Forchheim, Germany +5

  25. A physics-informed foundation model for quantitative diffusion MRI

    May 29, 2026Zihan Li, Jialan Zheng, Ziyu Li +18Physics-Informed Diffusion ModelsMedical Imaging Foundation Models

    School of Biomedical Engineering, Tsinghua University, Beijing, China. · Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom. · Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China. +4

  26. Layer Selection in Feature-Based Losses Affects Image Quality and Microstructural Consistency in Deep Learning Super-Resolution of Brain Diffusion MRI

    May 15, 2026David Lohr, Rene WernerPerceptual LossMedical Image Super-Resolution

    Institue for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany · Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany · Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany

  27. Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction

    May 11, 2026Laurenz Nagler, Martin Zach, Thomas PockAccelerated MRI ReconstructionMagnetic Resonance Imaging

    Graz University of Technology, Institute of Visual Computing, 8010 Graz, Austria. · Ecole Polytechnique Fédérale de Lausanne, Biomedical Imaging Group and Center for Biomedical Imaging, 1015 Lausanne, Switzerland.

  28. Self-Supervised Spatial And Zero-Shot Angular Super-Resolution by Spatial-Angular Implicit Representation For Rotating-View SNR-Efficient Diffusion MRI

    May 4, 2026Yinzhe Wu, Hongyu Rui, Fanwen Wang +3Implicit Neural RepresentationsMedical Image Super-Resolution

    Department of Bioengineering and I-X, Imperial College London, London, UK · Cardiovascular Research Centre, Royal Brompton Hospital, London, UK

  29. 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