isaac shiri

Head of Artificial Intelligence in Cardiovascular Medicine

Groupe INSA

Switzerland

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About

Isaac Shiri is the Head of Artificial Intelligence in Cardiovascular Medicine at Insel Gruppe in Switzerland. His research focuses on the application of artificial intelligence in medical imaging, particularly in cardiovascular medicine and multi-organ segmentation. Recent publications include advancements in automated image processing, deep learning for organ segmentation, and AI-driven detection of coronary artery anomalies. He is at the forefront of integrating AI technology for improved diagnostic accuracy and patient care in the field of cardiology.

Articles (10)

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2025

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2025

Collaborators (1)

George C M Siontis

University Hospital of Bern

SWITZERLAND

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isaac shiri

Research Interests

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Articles (10)

Automated intravascular ultrasound image processing and quantification of coronary artery anomalies: The AIVUS-CAA software

Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images

Coronary CT Anatomy-Based Prediction of Invasively Assessed Hemodynamic Significance in Middle-Aged Patients With Right Coronary Artery Anomaly: The NARCO Study

Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images

AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images

Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study

Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network

Deep Radiogenomics Sequencing for Breast Tumor Gene-Phenotype Decoding Using Dynamic Contrast Magnetic Resonance Imaging

Extent of evidence synthesis in biomedical research: a MeSH-driven analysis of neglected and well-explored areas

Collaborators (1)

George C M Siontis

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