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

Zhibin Liao

Computer vision researcher with more than a decade in medical AI. Senior Lecturer in the School of Computer and Mathematical Sciences and Senior Research Fellow at the Australian Institute for Machine Learning, Adelaide University, and co-lead of AI Bench to Bedside, the Verjans Liao Lab.

Senior Lecturer, School of Computer and Mathematical Sciences · Senior Research Fellow, AIML

PhD at the University of Adelaide with Professor Gustavo Carneiro as part of the ARC Centre of Excellence for Robotic Vision, then a postdoctoral fellowship at the University of British Columbia (2017–2019) on AI for cardiovascular ultrasound. AI lead for the NHMRC RAPIDx AI partnership project (2021–2023) with SA Health.

Technical co-lead on the group's computer vision output, covering hallucination detection in vision-language models, counterfactual explanation, concept bottlenecks and out-of-distribution segmentation. Co-inventor on two granted US patents. Winner of the 2020 ImageCLEF VQA-Med challenge. Teaches Artificial Intelligence and Computer Vision at Adelaide.

2880 citations, h-index 27 (Google Scholar).

Selected papers

Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models Chowdhury TF, Phan VMH, Liao K, Dong N, To M-S, van den Hengel A, Verjans JW, Liao Z ICCV 2025 · supervising author
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation Chowdhury TF, Liao K, Phan VMH, To M-S, Xie Y, Hung K, Ross D, van den Hengel A, Verjans JW, Liao Z CVPR 2024 · supervising author · 10 citations
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis Chowdhury TF, Phan VMH, Liao K, To M-S, Xie Y, van den Hengel A, Verjans J, Liao Z MICCAI 2024 · supervising author · 29 citations
CA-Seg: An Attribute-Based Medical Image Segmentation Framework for Unified Out-of-Distribution Medical Image Segmentation Liu Y, Verjans J, Phan VMH, Liao Z MIUA (LNCS 15918) 2025 · supervising author
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification Liao Z, Liao K, Shen H, van Boxel MF, Prijs J, Jaarsma RL, Doornberg JN, van den Hengel A, Verjans JW IEEE Journal of Biomedical and Health Informatics 26(7) 2022 · senior author · 33 citations
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering Liao Z, Wu Q, Shen C, van den Hengel A, Verjans J CLEF Working Notes 2020 · senior author · 30 citations
Medical Data Inquiry Using a Question Answering Model Liao Z, Liu L, Wu Q, Teney D, Shen C, van den Hengel A, Verjans J IEEE ISBI 2020 · senior author

All publications → · Everyone in the lab →