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

Research

Research themes

The group is co-led by a practising cardiologist and a computer vision researcher. Our methods work runs along five themes: multimodal AI, explainability, generalisability, small and noisy data, and causality. Each is tested against the same question, which is whether a clinician would act on the output.

Venue standing

Where the work is published

By Google Scholar Metrics 2025 h5-index, CVPR ranks #1 in computer vision and #2 among all publications worldwide; NeurIPS is #1 in artificial intelligence; ECCV #2 and ICCV #3 in computer vision; ICML #3 in AI; MICCAI #4 in radiology and medical imaging. In 2025 the group had 1 paper accepted at CVPR, 2 at ICCV and 1 at NeurIPS, and won the DICTA Redding Award; in 2026, 2 more CVPR acceptances (one in Findings), with 6 papers under submission at NeurIPS. Since 2022 that totals 5 CVPR, 6 MICCAI, 2 ICCV, 2 WACV and one each at NeurIPS, ICML, ECCV, IJCAI and EMNLP, alongside work in npj Digital Medicine and three papers in JACC: Advances.