Cardiac Imaging, Computational Modelling and Clinical Sciences

The Special Interest Group (SIG) on Cardiac Imaging, Computational Modeling and Clinical Sciences (SIG-Cardiac) intends to bring together cardiologists, radiologists, computer scientists, and engineers to promote interdisciplinary collaboration.

Mission

The mission of SIG-Cardiac is to become a dynamic and innovative forum within the MICCAI Society, dedicated to advancing cardiac care through the clinical application of research technologies. By bridging the gap between cutting-edge research and clinical practice, SIG-Cardiac ensures that technological advancements directly contribute to improved patient outcomes and more efficient clinical workflows. The vision is to create a future where cardiac care consistently benefits from the seamless integration of research innovations, ultimately enhancing the well-being of patients, supporting clinicians, and positively impacting the broader healthcare system.

Objectives

Foster Interdisciplinary Collaboration

Connect cardiologists, radiologists, computer scientists, and engineers to promote interdisciplinary collaboration. Recognizing the vital role each discipline plays, SIG-Cardiac aims to leverage collective expertise for the advancement of cardiac care.

Integrate Research Breakthroughs

Facilitate the integration of emerging technologies, such as AI, computer vision, and advanced imaging techniques, into clinical practice. By encouraging the adoption of these breakthroughs, SIG-Cardiac strives to enhance cardiac diagnostics, treatment planning, and improve patient outcomes.

Educate and Train

Organize challenges and tutorials at MICCAI conferences to educate and train clinicians and researchers. These initiatives are designed to enable and facilitate the latest technologies to be deployed in cardiac care.

Board Members

    YingLiang Ma

    University of East Anglia

    WD

    Wangbin Ding

    Fujian Medical University

    Lei Li

    National University of Singapore

    SW

    Steven Williams

    University of Edinburgh

    Shanshan Yang

    Zhongshan Hospital, Fudan University

    Oscar Camara

    Universitat Pompeu Fabra

    CP

    Chenghao Pei

    Infervision Medical Technology Co., Ltd

    Activities

    Artificial Intelligence in Diagnosis and Treatment of Cardiovascular Diseases

    SIG-Cardiac August webinar

    Advancing Radiology Report Generation with Large Language Models

    SIG-Cardiac July webinar

    Digital Twins in Healthcare: Synergies of Physics and Data-drive Models for Cardiology

    SIG-Cardiac Online Tutorial Lecture

    Towards Real-World Medical Image Analysis

    SIG-Cardiac in conjunction with MICCAI 2024 CARE Challenge

    SIG-Cardiac Offline Forum

    Xiamen, China

    miccai

    The leading international forum for research, education and practice in the field of medical image computing, machine learning in medical imaging, and computer assisted medical interventions and robotics.

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