Magnetic Resonance Imaging

Also known as MRI

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29 papers in the last four weeks, up 4% on the four weeks before. 0.2% of all new papers.

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Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion
Mar 5, 2026Zahra Karimaghaloo, Dumitru Fetco, Haz-Edine Assemlal +2Diffusion Models for Image Restoration Diffusion Model Guidance
Clario part of Thermofisher Scientific, Montreal, Canada · Concordia University, Montreal, Canada
ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-Supervised Masked Autoencoders
Mar 5, 2026Xavier Beltran-Urbano, Yiran Li, Xinglin Zeng +10Medical Image Representation Learning Self-Supervised Pre-Training
University of Pennsylvania, Philadelphia, USA · University of Maryland School of Medicine, Baltimore, USA
ProFound: A moderate-sized vision foundation model for multi-task prostate imaging
Mar 4, 2026Yipei Wang, Yinsong Xu, Weixi Yi +11Medical Imaging Foundation Models Medical Image Representation Learning
UCL Hawkes Institute, University College London, London, UK · Department of Medical Physics and Biomedical Engineering, University College London, London, UK · School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China +11
Slice-wise quality assessment of high b-value breast DWI via deep learning-based artifact detection
Mar 4, 2026Ameya Markale, Luise Brock, Ihor Horishnyi +10Medical Image Classification Magnetic Resonance Imaging
Institute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054 Erlangen, Germany · Institute of Computer Science, Polish Academy of Science, Warsaw, Poland · Department of Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany +2
DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
Mar 4, 2026Youngmin Kim, Jaeyun Shin, Jeongchan Kim +5Magnetic Resonance Imaging Unpaired Image-to-Image Translation
Korea University, Seoul, Republic of Korea · KAIST, Daejeon, Republic of Korea · NYU Langone Health, New York, NY, USA
Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment
Mar 2, 2026Yaxi Chen, Simin Ni, Jingjing Zhang +7Radiomics Explainable Medical Image Analysis
Mechanical Engineering Department, University College London, London, UK · Hawkes Institute, University College London, London, UK · Institute of Orthopaedic & Musculoskeletal Science, University College London, Royal National Orthopaedic Hospital, Stanmore, UK +4
Zero-shot Low-Field MRI Enhancement via Diffusion-Based Adaptive Contrast Transport
Mar 2, 2026Muyu Liu, Chenhe Du, Xuanyu Tian +5Magnetic Resonance Imaging Diffusion Models for Image Restoration
School of Information Science and Technology, ShanghaiTech University, Shanghai, China · School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
Direct low-field MRI super-resolution using undersampled k-space
Feb 28, 2026Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam EldalyMagnetic Resonance Imaging Medical Image Super-Resolution
Department of Computer Science, University of Exeter, Exeter, United Kingdom · UCL Hawkes Institute, University College London, London, United Kingdom
Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction
Feb 27, 2026Muneeba Rashid, Hina Shakir, Humaira Mehwish +2Generative Adversarial Networks Magnetic Resonance Imaging
Department of Software Engineering, Bahria University, Karachi, Pakistan · Department of Computer Science, Bahria University, Karachi, Pakistan
SFL-Net: Source-Factorized Latent Representation Learning for Multi-Contrast MRI to Tau-PET Synthesis
Feb 26, 2026Agamdeep S. Chopra, Caitlin Neher, Tianyi Ren +3Disentangled Representation Learning Multimodal Disentangled Representation Learning
Department of Mechanical Engineering, University of Washington, Seattle, WA, USA · Department of Radiology, University of Washington, Seattle, WA, USA
Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries
Feb 25, 2026Joshua Schulz, David Schote, Christoph Kolbitsch +2Accelerated MRI Reconstruction Sparse Recovery
Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany · School of Mathematical Sciences, Queen Mary University of London, UK
IHF-Harmony: Multi-Modality Magnetic Resonance Images Harmonization using Invertible Hierarchy Flow Model
Feb 25, 2026Pengli Zhu, Yitao Zhu, Haowen Pang +1Magnetic Resonance Imaging Unpaired Image-to-Image Translation
Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong · School of Integrated Circuits and Electronics, Beijing Institute of Technology, China · Mental Health Research Center, The Hong Kong Polytechnic University, Hong Kong +1
M-Gaussian: An Magnetic Gaussian Framework for Efficient Multi-Stack MRI Reconstruction
Feb 24, 2026Kangyuan Zheng, Xuan Cai, Jiangqi Wang +6Magnetic Resonance Imaging 3D Gaussian Splatting
School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China. · the School of Information Science and Engineering, Shandong Normal University, Shandong, China. · School of Computing and Data Science, The University of Hong Kong, Hong Kong, China.
OrthoDiffusion: A Generalizable Multi-Task Diffusion Foundation Model for Musculoskeletal MRI Interpretation
Feb 24, 2026Tian Lan, Lei Xu, Zimu Yuan +8Medical Imaging Foundation Models Diffusion Models
Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China. · Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China. · Beijing Key Laboratory of Research and Translation for Drugs and Medical Devices in Precision Diagnosis and Treatment of Sports Injuries, Beijing, China. +4
The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
Feb 23, 2026Zien Ma, S. M. Shermer, Oktay Karakuş +1Sim-to-Real Transfer Convolutional Neural Networks
School of Computer Science and Informatics, Cardiff University, Cardiff, CF24 4AG, United Kingdom · Faculty of Science and Engineering, Swansea University, Swansea, SA2 8PP, United Kingdom
Towards Personalized Multi-Modal MRI Synthesis across Heterogeneous Datasets
Feb 23, 2026Yue Zhang, Zhizheng Zhuo, Siyao Xu +6Medical Image Synthesis Missing-Modality Learning
School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, China · Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, 215123, China · National Key Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, 610097, China +6
MRI Contrast Enhancement Kinetics World Model
Feb 22, 2026Jindi Kong, Yuting He, Cong Xia +2Magnetic Resonance Imaging Medical Image Synthesis
Case Western Reserve University, Cleveland, OH, USA · Jiangsu Cancer Hospital, Nanjing, Jiangsu, China · Southeast University, Nanjing, Jiangsu, China
Distributional Deep Learning for Super-Resolution of 4D Flow MRI under Domain Shift
Feb 16, 2026Xiaoyi Wen, Fei JiangMedical Image Super-Resolution Magnetic Resonance Imaging
Department of Epidemiology and Biostatistics, University of California, San Francisco
Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)
Feb 3, 2026Alex Finkelstein, Ron Moneta, Or Zohar +4Magnetic Resonance Imaging Uncertainty Quantification
School of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel · Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel · School of Biochemistry, Neurobiology, and Biophysics, Tel-Aviv University, Tel-Aviv, Israel +1
Accelerated MR Elastography Using Learned Neural Network Representation
Jan 17, 2026Xi PengRepresentation Learning Accelerated MRI Reconstruction
Departments of Radiology, Biomedical Engineering, Electronic and Computer Engineering, and Mechanical Engineering, University of Iowa, Iowa City, IA 52246 · Department of Radiology, University of Iowa, Iowa City, IA, 52246
SRUG: A Fusion-Driven Generator Network for Medical Image Translation
Jan 8, 2026Xihe Qiu, Yang Dai, Xiaoyu Tan +4Medical Image Synthesis Image-to-Image Translation
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China · Department of Thoracic Surgery, Zhongshan Hospital of Fudan University, Shanghai 200032, China · Department of Medical Oncology, Cancer Center, and Fudan Zhangjiang Institute, Zhongshan Hospital of Fudan University, Shanghai 200032, China +1
Equivariant symmetry-aware head pose estimation for fetal MRI
Dec 4, 2025Ramya Muthukrishnan, Borjan Gagoski, Aryn Lee +4Object Pose Estimation Equivariant Neural Networks
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA · Boston Children’s Hospital and Harvard Medical School, Boston, USA · Inria, Université Côte d’Azur, Sophia Antipolis, France
End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI
Sep 15, 2025Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier +34D Reconstruction 3D Reconstruction
School of Computer and Communication Science, EPFL · ELLIS Institute Finland, Aalto University, Finland · University of North Carolina at Charlotte +1
Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner
Sep 11, 2025Quentin Uhl, Tommaso Pavan, Julianna Gerold +10Magnetic Resonance Imaging Neuroimaging
Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland · Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA
Converting T1-weighted MRI from 3T to 7T quality using deep learning
Jul 18, 2025Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld +12Magnetic Resonance Imaging Medical Image Synthesis
Department of Clinical Sciences Malmö, SciLifeLab, Lund University, Lund, Sweden · Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France · Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden +8
ArteryX: A Reliable End-to-End Toolbox for Standardized Intracranial Artery Feature Extraction from 3D TOF-MRA
Jul 10, 2025Abrar Faiyaz, Nhat Hoang, Giovanni Schifitto +1Medical Image Analysis Magnetic Resonance Imaging
Department of Neurology, University of Rochester, Rochester, NY 14642, USA · Department of Physics, University of Rochester, Rochester, NY 14627, USA · Department of Imaging Sciences, University of Rochester, Rochester, NY 14642, USA +2

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Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion

Zahra Karimaghaloo, Dumitru Fetco, Haz-Edine Assemlal, Hassan Rivaz+1

Clario part of Thermofisher Scientific, Montreal, Canada · Concordia University, Montreal, Canada

Diffusion Models for Image Restoration Diffusion Model Guidance Longitudinal Medical Image Analysis Magnetic Resonance Imaging Image Inpainting

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Accurate longitudinal analysis of brain MRI is often hindered by evolving lesions, which bias automated neuroimaging pipelines. While deep generative models have shown promise in inpainting these lesions, most existing methods operate cross-sectionally or lack 3D anatomical continuity. We present a novel pseudo-3D longitudinal inpainting framework based on Denoising Diffusion Probabilistic Models (DDPM). Our approach utilizes multi-channel conditioning to incorporate longitudinal context from distinct visits (t_1, t_2) and extends Region-Aware Diffusion (RAD) to the medical domain, focusing the generative process on pathological regions without altering surrounding healthy tissue. We evaluated our model against state-of-the-art baselines on longitudinal brain MRI from 93 patients. Our model significantly outperforms the leading baseline (FastSurfer-LIT) in terms of perceptual fidelity, reducing the Learned Perceptual Image Patch Similarity (LPIPS) distance from 0.07 to 0.03 while effectively eliminating inter-slice discontinuities. Furthermore, our model demonstrates high longitudinal stability with a Temporal Fidelity Index of 1.024, closely approaching the ideal value of 1.0 and substantially narrowing the gap compared to LIT's TFI of 1.22. Notably, the RAD mechanism provides a substantial gain in efficiency; our framework achieves an average processing time of 2.53 min per volume, representing approximately 10x speedup over the 24.30 min required by LIT. By leveraging longitudinal priors and region-specific denoising, our framework provides a highly reliable and efficient preprocessing step for the study of progressive neurodegenerative diseases. A derivative dataset consisting of 93 pre-processed scans used for testing will be available upon request after acceptance. Code will be released upon acceptance.