AI Bench to BedsideAI2B · Verjans Liao Lab
Australian Institute for Machine Learning
College of Health · College of Engineering and IT
Adelaide University

People · Lab co-lead

Johan Verjans

Cardiologist and AI researcher. Associate Professor and Future Industry Making Fellow at the Australian Institute for Machine Learning, Adelaide University, and co-lead of AI Bench to Bedside, the Verjans Liao Lab.

Associate Professor and Future Industry Making Fellow, AIML · MD PhD FRACP FESC

Founded the AIML medical machine learning group in 2017 with Professor Gustavo Carneiro and led it as Deputy Director (Health) from 2018 to 2024, growing it past 42 people. Platform Leader for AI at SAHMRI since 2019, and a consultant cardiologist at the Royal Adelaide Hospital and Jones Radiology. MD and PhD (cardiovascular imaging) from Maastricht University; cardiology training at UMC Utrecht; cardiac MRI fellowship at St Bartholomew's, London; postdoctoral fellow at Massachusetts General Hospital and Harvard Medical School.

Founder and AI lead of AUScribe; AI lead for AutoMedic and RAPIDx AI. Member of the Heart Foundation's Research Advisory Committee (2026–) and the ESC Working Group on e-Cardiology; editorial board of European Heart Journal – Digital Health and Frontiers in Cardiovascular Medicine.

13756 citations, h-index 49 (Google Scholar).

Selected papers

Machine Unlearning as a Governance Imperative for Clinical AI Porter A, Kirkpatrick E, Garg A, Saratchandran H, Lucey S, Verjans J npj Digital Medicine 2026 · senior author
Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization Hassen N, Verjans JW ICML 2026 · senior author
Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction Hassen N, Zhang Z, Verjans JW NeurIPS 2025 · senior author
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework Phan VMH, Xie Y, Qi Y, Liu L, Liu L, Zhang B, Liao Z, Wu Q, To M-S, Verjans JW CVPR 2024 · senior author · 61 citations
Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data: A Prospective UK Biobank Study Dorraki M, Liao Z, Abbott D, Psaltis PJ, Baker E, Bidargaddi N, Wardill HR, van den Hengel A, Narula J, Verjans JW JACC: Advances 3(9) 2024 · senior author · 35 citations
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection Zhang J, Xie Y, Pang G, Liao Z, Verjans J, Li W, Sun Z, He J, Li Y, Shen C, Xia Y IEEE Transactions on Medical Imaging 40(3) 2021 · 1,100+ citations
Cardiovascular Events with Finerenone in Kidney Disease and Type 2 Diabetes Verjans J (site principal investigator), et al. New England Journal of Medicine 385(24) · FIGARO-DKD 2021 · site PI · 1,400+ citations

All publications → · Everyone in the lab →