Cardiac MRI

MRI: Magnetic Resonance Imaging

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Overview

Cardiac MRI research develops methods to acquire and analyze images of the heart, including cine scans of its motion, late gadolinium enhancement (LGE) scans of tissue and scar, and 4D flow measurements of blood. Common approaches include physics-informed and unrolled networks for accelerated reconstruction, U-Nets and transformers for segmentation, and registration or mesh models for tracking motion and recovering 3D anatomy from sparse scans. Self-supervised foundation models and generative methods are increasingly used to make better use of unlabeled or limited data, with evaluation on benchmarks such as ACDC and M&Ms as well as multi-center clinical cohorts. A central challenge is ensuring that image quality, measurements, and disease predictions remain reliable across scanners, hospitals, and patient groups; scar segmentation and clinical validation remain particularly difficult.

Latest papers

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80 papers8 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations

    Oct 13, 2026Junkai Liu, Haofan Wu, Nay Aung +3Medical Image SynthesisVideo Diffusion Models

    School of Engineering, University of Birmingham · William Harvey Research Institute, Queen Mary University London · Division of Cardiology, Johns Hopkins University School of Medicine

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2T2 and T1ρT1ρ MRI

    Sep 24, 2026Nicholas A. Jacobs, Jason Mendes, Ravi Ranjan +2Self-Supervised Image DenoisingMagnetic Resonance Imaging

    University of Utah, Salt Lake City UT 84112, USA

  10. 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

  11. 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

  12. Multicentre Bi-atrial Segmentation from LGE-MRI for Atrial Fibrillation with a 2D and 3D Framework

    Sep 18, 2026Malitha Gunawardhana, Gregory B. Sands, Mark L. Trew +1Medical Image SegmentationMedical Image Benchmarks

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

    Sep 11, 2026Lila CungeSynthetic 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.

  14. 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.

  15. 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

  16. 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

  17. The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

    Aug 29, 2026Olivier Bernard, William A. Romero R., Cyprien Bouton +24Medical Image SegmentationCardiac MRI

    INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France · Institut Universitaire de France (IUF), France · Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada +13

  18. Metadata-Aware Adaptation of a Generative Foundation Model for Conditional CMR Synthesis

    Aug 25, 2026Marc Rodríguez, Grzegorz Skorupko, Nay Aung +3Medical Image SynthesisConditional Diffusion Models

    Facultat de Matem`atiques i Inform`atica, Universitat de Barcelona, Spain · Barcelona Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matem`atiques i Inform`atica, Universitat de Barcelona, Spain · William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, Charterhouse Square, London, UK +2

  19. Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

    Aug 24, 2026Dexter Wen Jie Teo, Nairouz Shehata, Herve LombaertMedical Image SegmentationCardiac MRI

    College of Computing and Data Science, Nanyang Technological University, Singapore · Department of Computer and Software Engineering, Polytechnique Montreal, Canada

  20. Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning

    Aug 21, 2026Bipasha Kundu, Abhishek Chaturvedi, Axel W. E. Wismueller +2Medical Image Quality AssessmentImage Quality Assessment

    Carlson Centre of Imaging Sceince, RIT, Rochester, NY, USA · Department of Imaging Sciences, University of Rochester Medical Center, NY, USA · Biomedical Engineering, RIT, Rochester, NY, USA

  21. CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs

    Aug 20, 2026Nivetha Jayakumar, Hannah Kim, Amit R. Patel +13D Medical Image SegmentationSemi-Supervised Medical Image Segmentation

    School of Engineering and Applied Science, University of Virginia, USA · School of Medicine, University of Virginia, USA

  22. Learning to Beat: Phenotype-Guided Latent Flow with Regional Motion Priors for Biventricular Motion Synthesis

    Aug 20, 2026Xuan Yang, Xiaohan Yuan, Hao Li +43D Mesh GenerationFlow-Based Generative Modeling

    Department of Biomedical Engineering, National University of Singapore, Singapore · School of Automation, Southeast University, Nanjing, China · School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

  23. SPARC: Slice-to-volume Pipeline for Automated Reconstruction of gated 3D+time fetal Cardiac MRI

    Aug 19, 2026Arnaud Boutillon, Naomi Clarke, Tomas Woodgate +8Fetal MRIImage Reconstruction

    Biomedical Computing Research Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom · Imaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom · Early Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom +1

  24. Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors

    Aug 18, 2026Mahdi Saberi, Yaşar Utku Alçalar, Merve Gülle +2Accelerated MRI ReconstructionMagnetic Resonance Imaging

    Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA · Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA · Department of Medicine (Cardiology), University of Minnesota, Minneapolis, MN, USA

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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