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. Curriculum-Guided Myocardial Scar Segmentation for Ischemic and Non-ischemic Cardiomyopathy

    Mar 30, 2026Nivetha Jayakumar, Jonathan Pan, Shuo Wang +6Medical Image SegmentationCardiac MRI

    Department of Electrical and Computer Engineering, University of Virginia, USA · Division of Cardiovascular Medicine, University of Virginia Health System, USA · Department of Computer Science, University of Virginia, USA

  2. Progressive Learning with Anatomical Priors for Reliable Left Atrial Scar Segmentation from Late Gadolinium Enhancement MRI

    Mar 27, 2026Jing Zhang, Bastien Bergere, Emilie Bollache +4Medical Image SegmentationCardiac MRI

    Laboratoire d’Imagerie Biomédicale (LIB), Sorbonne Université, INSERM, CNRS, Paris, France · APHP, Institut de Cardiologie, Hôpital Pitié-Salpêtrière, Paris, France · APHP, Imagerie Cardiovasculaire et thoracique, Institut de Cardiologie, Hôpital Pitié Salpêtrière, Paris, France

  3. CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis

    Mar 26, 2026Marvin Seyfarth, Sarah Kaye Müller, Arman Ghanaat +7Medical Image SynthesisLatent Diffusion Models

    Institute for Artificial Intelligence in Cardiovascular Medicine, Medical Faculty of Heidelberg University, Heidelberg University, Germany · Department of Cardiology, Angiology, Pneumology, Heidelberg University Hospital, Heidelberg, Germany · DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany +4

  4. C2W-Tune: Cavity-to -Wall Transfer Learning for Thin Atrial Wall Segmentation in 3D LGE-MRI

    Mar 26, 2026Yusri Al-Sanaani, Rebecca Thornhill, Sreeraman RajanMedical Image Segmentation3D Medical Image Segmentation

    Systems and Computer Engineering, Carleton University, Ottawa, Canada · Department of Radiology, University of Ottawa, Ottawa, Canada

  5. Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning

    Mar 26, 2026Yusri Al-Sanaani, Rebecca Thornhill, Pablo Nery +5Medical Image Segmentation3D Medical Image Segmentation

    Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada · Department of Radiology, Radiation Oncology, and Medical Physics, University of Ottawa, Ottawa, Canada · Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Canada

  6. Synthetic Cardiac MRI Image Generation using Deep Generative Models

    Mar 25, 2026Ishan Kumarasinghe, Dasuni Kawya, Madhura Edirisooriya +3Synthetic Data GenerationMedical Image Synthesis

    Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka · Department of Computer Engineering, University of Maryland, College Park, USA · Department of Holistic Systems, SimulaMet, Oslo, Norway

  7. Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data

    Mar 25, 2026Dewmini Hasara Wickremasinghe, Michelle Gibogwe, Andrew Bell +6Uncertainty QuantificationCardiac MRI

    School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK · Cardio-Oncology Centre of Excellence, Royal Brompton Hospitals, London, United Kingdom · Perspectum Ltd., Oxford, UK

  8. MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and management

    Mar 23, 2026Jack W O'Sullivan, Mohammad Asadi, Lennart Elbe +10Medical VLMsMultimodal Understanding

    Division of Cardiology, Department of Medicine, Stanford University, CA, USA · Department of Biomedical Data Science, Stanford University, CA, USA · Department of Electrical Engineering, Stanford University, CA, USA +7

  9. LGESynthNet: Controlled Scar Synthesis for Improved Scar Segmentation in Cardiac LGE-MRI Imaging

    Mar 18, 2026Athira J. Jacob, Puneet Sharma, Daniel RueckertMedical Image SynthesisSynthetic Data Augmentation

    Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA · Al in Healthcare and Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany · Department of Computing, Imperial College London, UK

  10. Unrolled Reconstruction with Integrated Super-Resolution for Accelerated 3D LGE MRI

    Mar 18, 2026Md Hasibul Husain Hisham, Shireen Elhabian, Ganesh Adluru +5Accelerated MRI ReconstructionCardiac MRI

    Kahlert School of Computing, University of Utah, Salt Lake City, UT, USA · Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT, USA · Cardiology, University of Utah, Salt Lake City, UT, USA

  11. Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations

    Mar 13, 2026Busra Nur Zeybek, Özgün Turgut, Yundi Zhang +5Left Ventricular Ejection Fraction EstimationCardiac MRI

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Germany · Munich Center for Machine Learning (MCML), Germany · Department of Diagnostic and Interventional Neuroradiology, School of Medicine, TUM University Hospital, Germany. +1

  12. Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI

    Mar 11, 2026Joan Perramon-Llussà, Amelia Jiménez-Sánchez, Grzegorz Skorupko +4Federated Fine-TuningMedical Imaging Foundation Models

    Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain · Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain

  13. FusionNet: a frame interpolation network for 4D heart models

    Mar 10, 2026Chujie Chang, Shoko Miyauchi, Ken'ichi Morooka +24D ReconstructionCardiac MRI

    Kyushu University, Fukuoka 819-0395, Japan · Okayama University, Okayama 700-8530, Japan · Örebro University, Örebro 701-82, Sweden

  14. No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

    Mar 10, 2026Yundi Zhang, Sevgi Gokce Kafali, Niklas Bubeck +2Medical Image Representation LearningCardiac MRI

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Department of Computing, Imperial College London, United Kingdom · Munich Center for Machine Learning, Technical University of Munich, Germany

  15. Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

    Mar 5, 2026Wenqi Huang, Veronika Spieker, Nil Stolt-Ansó +6Accelerated MRI ReconstructionCardiac MRI

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · School of Computation and Information Technology, Technical University of Munich, Munich, Germany · Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Neuherberg, Germany +5

  16. Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study

    Mar 4, 2026Madhura Edirisooriya, Dasuni Kawya, Ishan Kumarasinghe +5Medical Image SynthesisSynthetic Data Augmentation

    University of Peradeniya, Sri Lanka · University of Maryland, College Park, USA · Tulane University School of Medicine, USA; Simula Research Laboratory, Norway +1

  17. Flow Matching-enabled Test-Time Refinement for Unsupervised Cardiac MR Registration

    Mar 1, 2026Yunguan Fu, Wenjia Bai, Wen Yan +3Medical Image RegistrationDeformable Image Registration

    University College London · InstaDeep · Imperial College London

  18. Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor

    Feb 26, 2026Haofan Wu, Nay Aung, Theodoros N. Arvanitis +3Medical Image SynthesisCardiac MRI

    School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, United Kingdom · William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, London, United Kingdom · Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom +1

  19. ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction

    Jan 28, 2026Xiaocheng Fang, Zhengyao Ding, Guangkun Nie +9Synthetic Data PretrainingMedical Diagnosis

    State Key Laboratory of General Artificial Intelligence, Peking University · School of Intelligence Science and Technology, Peking University, Beijing, China · Polytechnic Institute of Zhejiang University, Zhejiang University, Hangzhou, China +4

  20. End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI

    Sep 15, 2025Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier +34D Reconstruction3D Reconstruction

    School of Computer and Communication Science, EPFL · ELLIS Institute Finland, Aalto University, Finland · University of North Carolina at Charlotte +1