Cardiac MRI

MRI: Magnetic Resonance Imaging

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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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  1. One Frame, Full Heartbeat: ECG-Free Cardiac Cine MRI Synthesis via Phase-Conditioned Flow Matching

    Oct 7, 2026Shiyi Wang, Ruochen Sun, Peirong Liu +2Medical Image SynthesisCardiac MRI

    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA · Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA · Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

  2. One Frame, Full Heartbeat: ECG-Free 4D Cardiac Cine MRI Synthesis via Radial-Decomposed Flow Matching

    Oct 6, 2026Shiyi Wang, Ruochen Sun, Xiang Li +2Medical Image SynthesisCardiac MRI

    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA · Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA · Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

  3. Beyond Training from Scratch: Foundation Models for Data-Efficient and Generalizable Cardiac MRI Reconstruction

    Oct 6, 2026Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier +2Image ReconstructionVision Foundation Model Adaptation

    Research Ireland Centre for Research Training in Machine Learning, Ireland · Dublin City University, Ireland · University College Dublin, Ireland +1

  4. Local2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI

    Oct 5, 2026Haoyu Wu, Ling Lin, Pascal Lefèvre +2Sparse-View 3D Reconstruction3D Mesh Reconstruction

    Academy of Artificial Intelligence and Advanced Technology, Xi’an Jiaotong-Liverpool University, China · Department of Health Technology and Informatics, The Hong Kong Polytechnic University, China · Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, UK

  5. CineMR: Tool-Integrated Vision-Language Reasoning for Quantitative Cardiac MRI Assessment

    Oct 1, 2026Kunyang Li, Hai Nguyen, Joshua Lowe +6Tool Use in VLMsMedical VQA

    Institute for Artificial Intelligence, University of Central Florida · Department of Clinical Sciences, College of Medicine, University of Central Florida · Nemours Cardiac Center, Nemours Children’s Hospital, Florida +1

  6. Learning Where to Look: Anatomical Grounding and Guided Attention for Cardiac MRI Vision-Language Models

    Sep 30, 2026Bangwei Guo, Xiao Chen, Boris Mailhe +8Medical VQAMedical Image Grounding

    Rutgers University, NJ, USA · United Imaging Intelligence, Boston, MA, USA · University of Texas Southwestern Medical Center, TX, USA +1

  7. Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction

    Sep 29, 2026Mengyuan Xue, Bochun Mei4D ReconstructionAccelerated MRI Reconstruction

    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA

  8. Anatomy-Aligned Surface Field Learning for Myocardial Reconstruction from Sparse Short-Axis Cine MRI

    Sep 24, 2026Xiaohan Yuan, Xuan Yang, Qingya Li +24D ReconstructionCardiac MRI

    Department of Biomedical Engineering, National University of Singapore, Singapore · School of Automation, Southeast University, Nanjing, China

  9. ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

    Sep 20, 2026Omer Burak Demirel, Kelly K. Horst, Alessio Perazzolo +15Radiology Report GenerationMedical Imaging Foundation Models

    MR Clinical Science, Philips North America, MN, USA · Department of Radiology, Mayo Clinic Rochester, Rochester, MN, USA

  10. SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation

    Sep 14, 2026Lila Cunge, Yuehong Liu, Hang Xu +5Synthetic Data AugmentationMedical Imaging Foundation Models

    Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles, Los Angeles, CA, USA. · Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. · Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA. +1

  11. MRI-Guided Reslice-Refined Cross-Slice SDF Reconstruction of the Left Ventricle from Cardiac MRI with Sparse Axial Supervision

    Sep 8, 2026Quanxin Zheng, Shuai ZhaoImplicit Neural RepresentationsSigned Distance Functions

    1China Electronics (Beijing) Information Technology Research Institute Co., Ltd.

  12. CMRVision: A Foundation Model for Cardiac MR Image Analysis

    Sep 1, 2026Athira J. Jacob, Puneet Sharma, Daniel RueckertMedical Imaging Foundation ModelsMedical Image Classification

    Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA · Chair for Al in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Department of Computing, Imperial College London, UK

  13. MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI

    Aug 31, 2026Athira J. Jacob, Puneet Sharma, Dorin Comaniciu +1Medical Imaging Foundation ModelsSelf-Supervised Pre-Training

    Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA · Chair for Al in Healthcare and Medicine, Technical University of Munich (TUM) · TUM University Hospital, Munich, Germany +1

  14. Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification

    Aug 11, 2026Christos Tsepas, Chang Yan, Maximilian Fuetterer +2Implicit Neural RepresentationsMedical Image Analysis

    Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands · Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland

  15. Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

    Aug 7, 2026Sina Amirrajab, Cian M Scannell, Volker Vehof +2Medical Imaging Foundation ModelsLeft Ventricular Ejection Fraction Estimation

    The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands. · Division of Cardiovascular Imaging, Department of Cardiology I, University Hospital Münster, Münster, Germany · Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

  16. Generative Brownian Bridge Diffusion In Motion Space For Enhanced Myocardial Strain Analysis

    Aug 3, 2026Rishov Paul, Frederick H. Epstein, Miaomiao ZhangCardiac MRIDiffusion Models

    Department of Computer Science, University of Virginia, USA · Department of Biomedical Engineering, University of Virginia, USA · Department of Electrical and Computer Engineering, University of Virginia, USA

  17. NISF++: Geometrically-grounded implicit representations of 3D+time cardiac function from 2D short- and long-axis MR views

    Aug 1, 2026Nil Stolt-Ansó, Maik Dannecker, Steven Jia +24D ReconstructionImplicit Neural Representations

    Munich Center for Machine Learning, Technical University Munich, Germany · School of Computation, Information and Technology, Technical University Munich, Germany · TUM University Hospital, Technical University Munich, Germany +2

  18. Automatic LV Localization and Short-Axis Plane Estimation from Arbitrary CMR Slice

    Jul 31, 2026Yi Yu, Yixuan Liu, Ziyu Zhang +4Object Pose EstimationMedical Image Localization

    The Ohio State University, Columbus, USA · Nanjing University, Nanjing, China

  19. Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardiac disease from conventional cardiovascular magnetic resonance (CMR) images

    Jul 22, 2026Sina Amirrajab, Volker Vehof, Michael Bietenbeck +6Medical Imaging Foundation ModelsMedical Diagnosis

    The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands. · Division of Cardiovascular Imaging, Department of Cardiology I, University Hospital Münster, Von-Esmarch-Str. 48, 48149 Münster, Germany

  20. Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

    Jul 8, 2026Shaoming Pan, Chenchuhui Hu, Leon Axel +13D Medical ImagingMedical Image Super-Resolution

    University of Texas at Arlington · University of Texas At Arlington · New York University Grossman School of Medicine

  21. Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification

    Jul 8, 2026Tonmoy Hossain, Miaomiao ZhangGeometric Representation LearningMedical Image Classification

    Department of Computer Science, University of Virginia, Virginia, USA · Department of Electrical and Computer Engineering, University of Virginia, USA

  22. Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Data

    Jul 8, 2026Chenchuhui Hu, Shaoming Pan, Leon Axel +1Transformer3D Medical Imaging

    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, USA · School of Medicine, New York University, New York, NY, USA

  23. Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction

    Jul 5, 2026Donghang Lyu, Marius Staring, Yiming Dong +3Implicit Neural RepresentationsAccelerated MRI Reconstruction

    Division of Image Processing, Department of Radiology, Leiden University Medical Center, 2333ZA Leiden, Netherlands · C.J. Gorter Center, Department of Radiology, Leiden University Medical Center, 2333ZA Leiden, Netherlands · Philips Innovative Technologies, 22335 Hamburg, Germany +1

  24. Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI

    Jul 3, 2026Florian Fürnrohr, Reinhard HeckelImage ReconstructionAccelerated MRI Reconstruction

    Technical University of Munich · Munich Center for Machine Learning (MCML)

  25. Personalized 4D Whole-Heart Mesh Reconstruction from Cine MRI via Multi-Scale Temporal Modeling and Differentiable Contour Rendering

    Jul 2, 2026Xiaoyue Liu, Dongcheng Cang, Xiaohan Yuan +34D ReconstructionMulti-View 3D Reconstruction

    Department of Biomedical Engineering, National University of Singapore, Singapore · School of Automation, Southeast University, Nanjing, China · Department of Medicine, National University of Singapore, Singapore +1

  26. Learning Cardiac Motion Priors for Implicit Neural Representations

    Jul 1, 2026Andrew Bell, George Webber, Andrew P King +3Implicit Neural RepresentationsMeta-Learning

    School of Biomedical Engineering and Imaging Sciences, King’s College London, United Kingdom · William Harvey Research Institute, Queen Mary University of London,2026 United Kingdom · Cardio-Oncology Service, Royal Brompton and Harefield Hospitals, London, United Kingdom

  27. Learning from Acquisition: Metadata-driven Multimodal Pre-training for Cardiac MRI

    Jun 27, 2026Xueyi Fu, Liwei Hu, Zi Wang +1Medical Image SegmentationMultimodal Contrastive Learning

    Department of Surgery & Cancer, Imperial College London, London, UK · Bioengineering Department and Imperial-X, Imperial College London, London, UK · National Heart and Lung Institute, Imperial College London, London, UK +2

  28. Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

    Jun 25, 2026Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2Synthetic Data AugmentationMedical Image Synthesis

    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China · Systemes Complexes et Intelligence Artificielle, IMT Mines Ales, Ales, France · School of Artificial Intelligence and Advanced Computing, Xi’an Jiaotong-Liverpool University, Suzhou, China

  29. A Latent ODE Approach to Spatiotemporal Modeling of Cine Cardiac MRI

    Jun 25, 2026David Brüggemann, Ekaterina Krymova, Firat Özdemir +6Latent Dynamics ModelingMedical Image Analysis

    Swiss Data Science Center, EPFL and ETH Zürich, Switzerland · Diagnostic and Interventional Radiology, University Hospital Zürich, Switzerland · Institute for Biomedical Engineering, University and ETH Zürich, Switzerland +2

  30. Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling

    Jun 8, 2026Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2Latent Dynamics ModelingText-to-Video Generation

    SyCoIA - IMT Mines Alès · Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China · SyCoIA, IMT Mines Ales, Ales, France