Echocardiography

Latest papers 55

5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

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 Synthesis Video 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
EchoTab: Learning Measurement-Grounded Representations for Echocardiographic Diagnosis through Tabular Reconstruction
Oct 9, 2026Michelle Espranita Liman, Ioana Ionac, Alexander Müller +3Medical Image Representation Learning Representation Learning
Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Department of Cardiology, TUM University Hospital, Munich, Germany · Department of Computing, Imperial College London, London, UK +1
EchoDiST: Self-distillation-based joint learning for diffusion-conditioned echocardiographic myocardial motion estimation
Oct 8, 2026Feiyue Qi, Xingyue Wei, Jianwen LuoMedical Image Analysis Echocardiography
School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, 100084, China
EchoDino: A pediatric foundation model for transferable echocardiographic analysis across the lifespan
Oct 4, 2026Sheng Cheng, Donnchadh M. O'Sullivan, Daniel J. Penny +3Medical Imaging Foundation Models Self-Supervised Learning
Department of Computer Science, Rice University, Houston, TX, USA · Division of Pediatric Cardiology, Baylor College of Medicine, Houston, TX, USA · Texas Children’s Hospital, Houston, TX, USA
GPEC: Efficient Pre-LLM Gaussian Process Embedding Correction for Cardiac Video Caption Generation
Sep 18, 2026Arefeh RezaeiVideo Captioning VLM Adaptation
Faculty of Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran
The segmentation ceiling: why explicit left-ventricular masks do not improve learned ejection-fraction regression
Sep 17, 2026Farshid Farhadi Khouzani, Paul La Plante, Bryar Mustafa Shareef +1Left Ventricular Ejection Fraction Estimation Echocardiography
Department of Computer Science, University of Nevada, Las Vegas, Las Vegas, NV, USA
Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits
Sep 10, 2026John Bonnici, Matthew Baugh, Aleksandra Kulbaka +3Latent Dynamics Modeling Self-Supervised Learning
Departament of Computing, Imperial College London, UK · Friedrich–Alexander University Erlangen–Nürnberg, DE · Ultromics Ltd, Oxford, UK
Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking
Sep 9, 2026Thierry Judge, Nicolas Duchateau, Andreas Østvik +6Medical Image Analysis Echocardiography
Dept. of Computer Science, University of Sherbrooke, Sherbrooke, Canada. · INSA, Université Lyon 1, CNRS UMR 5220, Inserm U1206, CREATIS, Villeurbanne, France. · Institut Universitaire de France (IUF). +4
Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction
Sep 2, 2026Zhiyuan Gao, Dominic Yurk, Yaser S. Abu-MostafaLeft Ventricular Ejection Fraction Estimation Medical Image Analysis
Electrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, USA · Asari AI, San Francisco, CA 94131, USA
QuantumBoostNet: Hybrid Classical-Quantum Cardiac View Identification
Aug 27, 2026Mihai Udrescu-Milosav, Stefan-Alexandru Jura, Mihai Udrescu +1Hybrid Quantum-Classical ML Quantum Neural Networks
Department of Computers and Information Technology Politehnica University TimisÇoara TimisÇoara, Romania · Department of Cardiology & Angiology III Adult Congenital & Valvular Heart Disease Center University Hospital Münster Münster, Germany
A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction
Aug 14, 2026Xiaotong Zhang, Mingyue Cui, Qing Cao +1Left Ventricular Ejection Fraction Estimation Toxicity Detection
Cardiovascular Ultrasound R&D, GE HealthCare, Wuxi, China
VIDS-Seg: Towards Reliable Uncertainty Quantification in Pediatric Cardiac Ultrasound Segmentation
Aug 11, 2026Paul Fischer, Ece OzkanUltrasound Image Segmentation Uncertainty Quantification
Department of Biomedical Engineering, University of Basel, Basel, Switzerland
When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation
Aug 4, 2026Dang P. M. Cao, Hieu D. Pham, Hieu PhamDistribution Shift Echocardiography
College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · Center for Innovations in Health Sciences, VinUniversity, Hanoi, Vietnam
When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins
Aug 3, 2026Dang P. M. Cao, Hieu PhamLeft Ventricular Ejection Fraction Estimation Echocardiography
College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · Center for Innovations in Health Sciences, VinUniversity, Hanoi, Vietnam
Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography
Jul 28, 2026Hyunkyung Han, Min Jung KimConcept Bottleneck Models Left Ventricular Ejection Fraction Estimation
Department of Integrative Medicine, Yonsei University College of Medicine, Seoul 06273, Republic of Korea
EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings
Jul 27, 2026Xiaocheng Fang, Jieyi Cai, Guangkun Nie +9Long-Tailed Classification Cross-Modal Alignment
School of Intelligence Science and Technology, Peking University Beijing, China · State Key Laboratory of General Artificial Intelligence, Peking University · University of the Chinese Academy of Sciences Beijing, China +2
Domain Shift in Echocardiography: Interpretable Quantification and Prediction of Cross-Dataset Left Ventricular Segmentation
Jul 22, 2026Soroush Elyasi, Nasim Dadashi Serej, Julie Wall +1Ultrasound Image Segmentation Distribution Shift
THRIVE Centre, School of Computing and Engineering, University of West London, London, UK · School of Computing and Engineering, University of West London, London, UK
Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography
Jul 15, 2026Hyunkyung Han, Min Jung KimGradient-Based Attribution Left Ventricular Ejection Fraction Estimation
aSchool of Integrated Medicine, Yonsei University, Seoul, Republic of Korea · bDepartment of Radiology, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Republic of Korea
Automatic Echocardiography Segmentation via Transition Probability Correlation for Stable Semantic Extraction
Jul 8, 2026Xinran Chen, Xiyuan Wang, Guangquan Zhou +1Ultrasound Image Segmentation Self-Supervised Pre-Training
School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains
Jul 6, 2026Iman Islam, Esther Puyol-Antón, Bram Ruijsink +2Ultrasound Image Segmentation Domain Generalization
School of Biomedical Engineering & Imaging Sciences, King’s College London, UK
EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology
Jul 1, 2026Grigorios Kalliatakis, Georgia Karanasiou, Georgios Manikis +10Left Ventricular Ejection Fraction Estimation Healthcare
Foundation for Research and Technology Hellas, Greece · University of Ioannina, Greece · Hellenic Mediterranean University, Greece +3
FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection
Jul 1, 2026Rusi Chen, Yuhao Huang, Hongyuan Zhang +4Representation Learning Multi-View Learning
Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, China · Centre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hongkong, China · School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China +2
EchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in Echocardiography
Jun 26, 2026Darya Taratynova, Ahmed Aly, Numan Saeed +1Medical Report Generation Echocardiography
Division of Computing and Mathematical Sciences, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation
Jun 22, 2026Sylwia Majchrowska, Philip TeareUltrasound Image Segmentation Left Ventricular Ejection Fraction Estimation
aR&D Data ScienceSylwiaSkills &Majchrowskaa,Partnership, DataPhilipScienceTeareb& AI, BioPharma R&D, AstraZeneca, Pepparedsleden 1, Mölndal, 431 83, Sweden · bCentre for AI, Data Science & AI, BioPharma R&D, AstraZeneca, BiomedicalJun Campus, 1 Francis Crick Ave, Trumpington, Cambridge, CB2 0AA, UK
Evaluation of Augmented Reality-based Intuitive Interface for Robot-Assisted Transesophageal Echocardiography: A User Study
Jun 18, 2026Xiu Zhang*, Matteo Di Mauro*, Sofia Breschi +4Robot Teleoperation Echocardiography
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan 20133, Italy, and also with the BioRobotics Institute, Scuola Superiore Sant’ Anna, 56025 Pontedera, Italy · BioRobotics Institute, Scuola Superiore Sant’Anna, 56025 Pontedera, Italy
HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification
Jun 18, 2026Victoria Wu, Nima Hashemi, Hooman Vaseli +3Prototype-Based Classification Echocardiography
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada · Vancouver General Hospital, Vancouver, BC, Canada
Spatio-Temporal Fusion Model for Standard View Classification of Echocardiographic Videos
Jun 16, 2026Bo Gou, Jicheng Zhang, Jianlong Xiong +9Echocardiography Temporal Video Understanding
Department of Ultrasound, The First Affiliated Hospital of Chengdu Medical College, School of Clinical Medicine, Chengdu Medical College, Chengdu, China · College of Computer Science, Sichuan University, Chengdu, China · Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, China +1
Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws
Jun 4, 2026Clara Rodrigo González, Matthieu Toulemonde, Lasha Gvinianidze +5Ultrasound Image Segmentation Medical Image Analysis
Department of Bioengineering Imperial College London London, UK · National Heart and Lung Institute Imperial College London Guy’s and St. Thomas’ NHS Foundation Trust
Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance
May 30, 2026Elias Stenhede, Edvart Grüner Bjerke, Joanna Sulkowska +4Self-Supervised Learning Echocardiography
Medical Technology & E-Health, Akershus University Hospital, Norway · Department of Technology Systems, University of Oslo, Norway · K.G. Jebsen Center for Cardiac Biomarkers, University of Oslo, Norway +3
Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?
May 27, 2026Thierry Judge, Nicolas Duchateau, Andreas Østvik +13Medical Image Analysis Echocardiography
Dept. of Computer Science, University of Sherbrooke, Sherbrooke, Canada · INSA, Universit´e Lyon 1, CNRS UMR 5220, Inserm U1206, CREATIS, Villeurbanne, France · Institut Universitaire de France (IUF) +7

Oct 13, 2026J/K move · Enter open · S save

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

Junkai Liu, Haofan Wu, Nay Aung, Joao A. C. Lima+2

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

Medical Image Synthesis Video Diffusion Models Temporal Consistency in Video Generation Cardiac MRI Echocardiography Cross-Modal Alignment

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Dense cardiac dynamics are essential for assessing cardiac function, yet in practice clinicians often observe only extremely sparse measurements. However, recovering full dynamics from such sparsity is a highly ill-posed problem due to the lack of temporal cues. While auxiliary time-series signals like ECG provide physiological guidance, effectively exploiting them is challenging due to the cross-modal representation gap and phase misalignment. In this work, we present CardioFAD, a Focus--Align--Diffuse paradigm that reformulates sparse cardiac dynamic synthesis as a recoverability--alignability anchor discovery problem. Our core insight is that resolving extreme temporal ambiguity requires a compact set of anchor states that are both sufficient to recover the visual trajectory and reliable for ECG--visual alignment. We therefore learn motion-salient keyframes under two complementary principles: trajectory sufficiency, which preserves trajectory-critical intra-modal motion content, and anchor alignment, which promotes consistent inter-modal correspondence at these anchors. We implement the Focus and Align modules optimized by the two aspects. Diffuse then performs two-stage generation by first synthesizing keyframes and subsequently interpolating the remaining frames. Extensive experiments on cardiac MRI and echocardiography videos demonstrate superior visual quality, temporal coherence, and improved functional consistency under the extreme one-shot regime.