Teaching Strengths
Dr Zhibin Liao
Senior Lecturer
School of Computer Science and Information Technology
College of Engineering and Information Technology
Dr Zhibin Liao is a Senior Lecturer in the School of Computer and Mathematical Sciences at the University of Adelaide and an affiliated Senior Research Fellow at the Australian Institute for Machine Learning (AIML). He has over 10 years of experience in artificial intelligence research, including six years focused on medical AI. He has published more than 60 peer-reviewed papers, is a co-inventor on two US patents, and has secured over $7 million in competitive research funding as Chief Investigator. His research centres on understanding how AI systems make decisions and developing robust AI solutions for real-world applications, particularly in healthcare.
From 2021 to 2023, Dr Liao served as the AI lead for the NHMRC Partnership Project RAPIDx AI at AIML, collaborating with Siemens and SA Health to design and clinically validate a real-time myocardial injury detection system. The AI solution is currently undergoing clinical trials across six South Australian hospitals, with more than 17,000 patients enrolled. Prior to this, he was a Postdoctoral Research Fellow (2017–2019) at the Robotic and Control Laboratory (RCL), University of British Columbia, under the supervision of Professor Purang Abolmaesumi, where he contributed to the development of an AI-based ultrasound cardiovascular diagnostic tool.
Dr Liao received his PhD in Computer Science from the University of Adelaide in 2018, supervised by Professor Gustavo Carneiro, and was a member of the ARC Centre of Excellence for Robotic Vision during his candidature.
Dr Liao has co-authored 23 journal articles, 35 refereed conference papers, and 2 book chapters. His publications have attracted more than 2,370 citations (h-index 22; i10-index 36, Google Scholar). His field-weighted citation impact (FWCI) is 3.1, indicating that his work is cited at over three times the global average for outputs of similar type, topic, and age (SciVal 2016–25). Notably, 40% of his publications rank among the top 10% most cited worldwide (SciVal).
Dr Liao's research appears in leading venues in Computer Vision and Pattern Recognition (Google Scholar, by h5-index), including:
• CVPR (CORE A*, GS #1) x3 papers
• ICCV (CORE A*, GS #3) x2 papers
• TPAMI (JIF 18.6, GS #4)
• TIP (JIF 13.7, GS #5)
In Medical AI, I have published in:
• IEEE Transactions on Medical Imaging (JIF 9.8): x3 papers
• MICCAI (CORE A): x9 papers
In addition, Dr Liao is a co-inventor on 2 granted US patents, and my work has been cited by a further 13 patents (Altmetric).
| Date | Position | Institution name |
|---|---|---|
| 2025 - ongoing | Senior Lecturer | University of Adelaide |
| 2022 - 2024 | Senior Research Fellow | University of Adelaide |
| 2019 - 2021 | Postdoctoral Resaerch Fellow | University of Adelaide |
| 2017 - 2019 | Postdoctoral Research Fellow | University of Birtish Columbia |
| Language | Competency |
|---|---|
| Chinese (Mandarin) | Can read, write, speak, understand spoken and peer review |
| English | Can read, write, speak, understand spoken and peer review |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2013 - 2018 | University of Adelaide | Australia | PhD in Computer Science |
| 2012 - 2013 | University of Adelaide | Australia | Bachelor in Computer Science (First Class Honours) |
| 2009 - 2012 | University of Adelaide | Australia | Bachelor of Computer Science |
| Year | Citation |
|---|---|
| 2025 | Nguyen, D., Ho, M. K., Ta, H. D., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs.. CoRR, abs/2505.00744. |
| 2025 | Huy, T. D., Huynh, D. A., Xie, Y., Qi, Y., Chen, Q., Nguyen, P. L., . . . Phan, V. M. H. (2025). Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding.. CoRR, abs/2505.15123. |
| 2025 | Ta, D. H., Tran, S. K., Phan, N., Nguyen, H. T., Tran, B. S., van den Hengel, A., . . . Vu, M. H. P. (2025). Interactive Medical Image Analysis with Concept-based Similarity Reasoning. 2025 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), abs/2503.06873, 30797-30806. |
| 2025 | Oude Nijhuis, K. D., Barvelink, B., Prijs, J., Zhao, Y., Liao, Z., Jaarsma, R. L., . . . Wijffels, M. M. E. (2025). An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs. European journal of trauma and emergency surgery : official publication of the European Trauma Society, 51(1), 26. Scopus5 WoS5 Europe PMC5 |
| 2025 | Lambrakis, K., Khan, E., Liao, Z., Gerlach, J., Nelson, A. J., Goodman, S. G., . . . Chew, D. P. (2025). Prognostic Implications of Machine Learning Algorithm-Supported Diagnostic Classification of Myocardial Injury Using the Fourth Universal Definition of Myocardial Infarction.. Heart, lung & circulation, 34(5), S1443-9506(24)01925-5. |
| 2025 | Oude Nijhuis, K. D., Prijs, J., Barvelink, B., van Luit, H., Zhao, Y., Liao, Z., . . . Colaris, J. W. (2025). Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs. European Journal of Trauma and Emergency Surgery Official Publication of the European Trauma Society, 51(1), 261. Scopus1 Europe PMC1 |
| 2025 | Chowdhury, T. F., Phan, V. M. H., Liao, K., Dong, N., To, M. -S., Hengel, A. V. D., . . . Liao, Z. (2025). Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models.. CoRR, abs/2509.16822. |
| 2024 | Chen, Q., Zhao, R., Wang, S., Phan, V. M. H., Hengel, A. V. D., Verjans, J., . . . Wu, Q. (2024). A Survey of Medical Vision-and-Language Applications and Their Techniques.. CoRR, abs/2411.12195. |
| 2024 | Chowdhury, T. F., Vu, M. H. P., Liao, K., To, M. -S., Xie, Y., van den Hengel, A., . . . Liao, Z. (2024). AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2024, PT X, 15010, 35-45. WoS3 |
| 2024 | Dorraki, M., Liao, Z., Abbott, D., Psaltis, P. J., Baker, E., Bidargaddi, N., . . . Verjans, J. W. (2024). Improving Cardiovascular Disease Prediction With Machine Learning Using Mental Health Data: A Prospective UK Biobank Study. JACC: Advances, 3(9.2), 101180-1-101180-9. Scopus15 WoS9 Europe PMC8 |
| 2024 | Spek, R. W. A., Smith, W. J., Sverdlov, M., Broos, S., Zhao, Y., Liao, Z., . . . Wolf, A. D. (2024). Detection, classification, and characterization of proximal humerus fractures on plain radiographs.. The bone & joint journal, 106-B(11), 1348-1360. Scopus4 WoS4 Europe PMC4 |
| 2024 | Zhang, X., Liu, F., Cheng, X., Yan, S., Liao, Z., & Ge, Z. (2024). Autonomous novel class discovery for vision-based recognition in non-interactive environments. Cognitive Robotics, 4, 191-203. |
| 2024 | Oosterhoff, J. H. F., de Hond, A. A. H., Peters, R. M., van Steenbergen, L. N., Sorel, J. C., Zijlstra, W. P., . . . Zhang, Y. (2024). Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty. Clinical Orthopaedics and Related Research, 482(8), 1472-1482. Scopus7 WoS8 Europe PMC5 |
| 2024 | Saad, F. H., Farook, T. H., Ahmed, S., Zhao, Y., Liao, Z., Verjans, J. W., & Dudley, J. (2024). Facial and mandibular landmark tracking with habitual head posture estimation using linear and fiducial markers. Healthcare Technology Letters, 11(1), 21-30. Scopus4 WoS4 Europe PMC4 |
| 2024 | Chowdhury, T. F., Liao, K., Hieu Phan, V. M., To, M. S., Xie, Y., Hung, K., . . . Liao, Z. (2024). CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, abs/2404.02388, 11072-11081. Scopus1 WoS1 |
| 2024 | Khan, E., Lambrakis, K., Liao, Z., Gerlach, J., Briffa, T., Cullen, L., . . . Chew, D. P. (2024). Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome. JACC: Advances, 3(9.2), 101011-1-101011-11. Scopus7 WoS2 Europe PMC2 |
| 2023 | Prijs, J., Liao, Z., To, M. -S., Verjans, J., Jutte, P. C., Stirler, V., . . . Machine Learning Consortium. (2023). Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN).. European journal of trauma and emergency surgery : official publication of the European Trauma Society, 49(2), 1057-1069. Scopus28 WoS19 Europe PMC16 |
| 2023 | Luong, C. L., Behnami, D., Liao, Z., Yeung, D. F., Tsang, M. Y. C., Van Woudenberg, N., . . . Tsang, T. S. M. (2023). Machine learning derived echocardiographic image quality in patients with left ventricular systolic dysfunction: insights on the echo views of greatest image quality.. Int J Cardiovasc Imaging, 39(7), 1313-1321. Scopus1 WoS1 Europe PMC1 |
| 2022 | Prijs, J., Liao, Z., Ashkani-Esfahani, S., Olczak, J., Gordon, M., Jayakumar, P., . . . Doornberg, J. N. (2022). Erratum: Artificial intelligence and computer vision in orthopaedic trauma: the why, how, and what (Bone Joint J. (2022) 104-B: 8 (911–914) DOI: 10.1302/0301-620X.104B8.BJJ-2022-0119.R1). Bone and Joint Journal, 104-B(10), 1189. |
| 2022 | Liao, Z., Liao, K., Shen, H., Van Boxel, M. F., Prijs, J., Jaarsma, R. L., . . . Verjans, J. W. (2022). CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification.. IEEE J Biomed Health Inform, 26(7), 3139-3150. Scopus21 WoS15 Europe PMC7 |
| 2022 | Prijs, J., Liao, Z., Ashkani-Esfahani, S., Olczak, J., Gordon, M., Jayakumar, P., . . . Doornberg, J. N. (2022). Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how. The bone & joint journal, 104-B(8), 911-914. Scopus17 WoS17 Europe PMC10 |
| 2021 | Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2021). Intra- and Inter-pair Consistency for Semi-supervised Gland Segmentation.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 31, 894-905. Scopus37 WoS32 Europe PMC13 |
| 2021 | Luong, C., Liao, Z., Abdi, A., Girgis, H., Rohling, R., Gin, K., . . . Tsang, T. S. M. (2021). Automated estimation of echocardiogram image quality in hospitalized patients. International Journal of Cardiovascular Imaging, 37(1), 229-239. Scopus21 Europe PMC12 |
| 2021 | Zhang, J., Xie, Y., Pang, G., Liao, Z., Verjans, J., Li, W., . . . Xia, Y. (2021). Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection. IEEE Transactions on Medical Imaging, 40(3), 879-890. Scopus275 WoS196 Europe PMC127 |
| 2020 | Liao, Z., Drummond, T., Reid, I., & Carneiro, G. (2020). Approximate Fisher information matrix to characterise the training of deep neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1), 15-26. Scopus21 WoS17 Europe PMC1 |
| 2020 | Liao, Z., Girgis, H., Abdi, A., Vaseli, H., Hetherington, J., Rohling, R., . . . Abolmaesumi, P. (2020). On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment. IEEE Transactions on Medical Imaging, 39(6), 1868-1883. Scopus45 Europe PMC25 |
| 2019 | Jafari, M. H., Girgis, H., Van Woudenberg, N., Liao, Z., Rohling, R., Gin, K., . . . Tsang, T. (2019). Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training. International Journal of Computer Assisted Radiology and Surgery, 14(6), 1027-1037. Scopus47 Europe PMC27 |
| 2019 | Dezaki, F. T., Liao, Z., Luong, C., Girgis, H., Dhungel, N., Abdi, A. H., . . . Tsang, T. (2019). Cardiac Phase Detection in Echocardiograms with Densely Gated Recurrent Neural Networks and Global Extrema Loss. IEEE Transactions on Medical Imaging, 38(8), 1821-1832. Scopus81 Europe PMC26 |
| 2017 | Liao, Z., & Carneiro, G. (2017). A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognition, 71, 94-105. Scopus26 WoS24 |
| Year | Citation |
|---|---|
| 2026 | Liu, Y., Verjans, J., Phan, V. M. H., & Liao, Z. (2026). CA-Seg: An Attribute-Based Medical Image Segmentation Framework for Unified Out-of-Distribution Medical Image Segmentation. In S. Ali, D. C. Hogg, & M. Peckham (Eds.), Lecture Notes in Computer Science (Vol. 15918 LNCS, pp. 17-31). SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2023 | Liao, Z., van den Hengel, A., & Verjans, J. W. (2023). Medical visual question answering. In A. C. Chang, A. Limon, R. Brisk, F. Lopez-Jimenez, & L. Y. Sun (Eds.), Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine (pp. 157-162). Elsevier. DOI |
| 2022 | Mehta, O., Liao, Z., Jenkinson, M., Carneiro, G., & Verjans, J. (2022). Machine Learning in Medical Imaging - Clinical Applications and Challenges in Computer Vision. In Artificial Intelligence in Medicine: Applications, Limitations and Future Directions (pp. 79-99). Springer Nature Singapore. DOI Scopus5 |
| Year | Citation |
|---|---|
| 2026 | Huy, T. D., Shoby, A., Tran, S., Xie, Y., Chen, Q., Nguyen, P. L., . . . Phan, M. H. (2026). PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. In J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, . . . J. Park (Eds.), Lecture Notes in Computer Science Vol. 15964 LNCS (pp. 487-497). SOUTH KOREA, Daejeon: SPRINGER INTERNATIONAL PUBLISHING AG. DOI |
| 2025 | Cai, G., Zhang, R., He, H., Zhang, Z., Ergu, D., Cao, Y., . . . Cai, Y. (2025). MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. In Proceedings IEEE International Conference on Multimedia and Expo (pp. 1-6). IEEE. DOI |
| 2025 | Qi, X., Zhang, Z., Zheng, H., Chen, M., Kutaiba, N., Lim, R., . . . To, M. S. (2025). MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. In Proceedings of the International Joint Conference on Neural Networks (pp. 1-8). IEEE. DOI Scopus2 |
| 2025 | Qi, X., Zhang, Z., Handoko, A. B., Zheng, H., Chen, M., Huy, T. D., . . . To, M. S. (2025). ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer. In Proceedings IEEE Symposium on Computer Based Medical Systems (pp. 623-629). Madrid, Spain: IEEE. DOI |
| 2025 | Huy, T. D., Tran, S. K., Nguyen, P., Tran, N. H., Sam, T. B., Hengel, A. V. D., . . . Phan, V. M. H. (2025). Interactive Medical Image Analysis with Concept-based Similarity Reasoning.. In CVPR (pp. 30797-30806). IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): Computer Vision Foundation / IEEE. |
| 2025 | Nguyen, D., Ho, M. K., Ta, H., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. In J. Kwok (Ed.), Ijcai International Joint Conference on Artificial Intelligence (pp. 7670-7678). CANADA, Montreal: ASSOC COMPUTATIONAL LINGUISTICS-ACL. DOI |
| 2025 | Rana, K., Garg, D., Yong, L. S. S., Liao, Z., Verjans, J., & Selva, D. (2025). Deep learning based automated segmentation of extraocular muscles in thyroid eye disease. In CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY Vol. 53 (pp. 1 page). WILEY. |
| 2024 | Phan, V. M. H., Xie, Y., Zhang, B., Qi, Y., Liao, Z., Perperidis, A., . . . To, M. -S. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.. In M. G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, & J. A. Schnabel (Eds.), MICCAI (7) Vol. 15007 (pp. 690-700). Marrakesh, Morocco: Springer. |
| 2024 | Zhao, Y., Zhang, P., Yu, X., Liao, Z., Verjans, J., Bai, X., & Xiang, W. (2024). Occluded Person Retrieval with Hierarchical Feature Optimization. In 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024 (pp. 8 pages). Online: IEEE. DOI Scopus2 WoS2 |
| 2024 | Chowdhury, T. F., Phan, V. M. H., Liao, K., To, M. -S., Xie, Y., Hengel, A. V. D., . . . Liao, Z. (2024). AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.. In M. G. Linguraru, Q. Dou, A. Feragen, S. Giannarou, B. Glocker, K. Lekadir, & J. A. Schnabel (Eds.), MICCAI (10) Vol. 15010 (pp. 35-45). Marrakesh, Morocco: Springer. |
| 2024 | Phan, V. M. H., Xie, Y., Zhang, B., Qi, Y., Liao, Z., Perperidis, A., . . . To, M. -S. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.. In Lecture Notes in Computer Science Vol. 15007 (pp. 690-700). Marrakesh, Morocco: Springer. DOI Scopus19 WoS16 |
| 2024 | Zhang, Z., Qi, X., Chen, M., Li, G., Pham, R., Qassim, A., . . . To, M. S. (2024). JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14859 LNCS (pp. 158-172). Online: Springer Nature Switzerland. DOI Scopus5 WoS4 |
| 2024 | Zhang, Z., Qi, X., Zhang, B., Wu, B., Le, H., Jeong, B., . . . Hartley, R. (2024). SegReg: Segmenting OARs by Registering MR Images and CT Annotations. In Proceedings - International Symposium on Biomedical Imaging (pp. 5 pages). Athens, Greece: IEEE. DOI Scopus8 |
| 2024 | Zhao, Y., Liao, Z., Liu, Y., Nijhuis, K. O., Barvelink, B., Prijs, J., . . . Verjans, J. (2024). A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures. In Proceedings - International Symposium on Biomedical Imaging (pp. 5 pages). Athens, Greece: IEEE. DOI Scopus5 WoS2 |
| 2024 | Chowdhury, T. F., Liao, K., Phan, V. M. H., To, M. -S., Xie, Y., Hung, K., . . . Liao, Z. (2024). CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.. In CVPR (pp. 11072-11081). Seattle, WA, USA: IEEE. |
| 2024 | Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) (pp. 11492-11501). Seattle, WA, USA: Institute of Electrical and Electronics Engineers (IEEE). DOI Scopus19 WoS12 |
| 2024 | Zhang, Y., Liao, K., Liao, Z., & Guo, L. (2024). Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14646 LNAI (pp. 327-338). Online: Springer Science and Business Media Deutschland GmbH. DOI Scopus1 WoS1 |
| 2023 | Guan, Q., Xie, Y., Yang, B., Zhang, J., Liao, Z., Wu, Q., & Xia, Y. (2023). Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14222 (pp. 603-613). Vancouver, BC, Canada: Springer Nature Switzerland. DOI Scopus3 WoS2 |
| 2023 | Phan, M. -H., Liao, Z., Verjans, J. W., & To, M. -S. (2023). Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation.. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. F. Syeda-Mahmood, & R. H. Taylor (Eds.), MICCAI (10) Vol. 14229 (pp. 56-65). Springer. |
| 2023 | Phan, V. M. H., Liao, Z., Verjans, J. W., & To, M. -S. (2023). Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. In Lecture Notes in Computer Science Vol. 14229 LNCS (pp. 56-65). Vancouver, BC, Canada,: Springer Nature Switzerland. DOI Scopus15 WoS13 |
| 2021 | Shen, H., Liao, K., Liao, Z., Doornberg, J., Qiao, M., Van Den Hengel, A., & Verjans, J. W. (2021). Human-AI interactive and continuous sensemaking: A case study of image classification using scribble attention maps. In Proceedings of the Conference on Human Factors in Computing Systems (CHI'21) (pp. 1-8). New York, NY: Association for Computing Machinery. DOI Scopus13 WoS11 |
| 2020 | Liao, Z., Liu, L., Wu, Q., Teney, D., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). Medical data inquiry using a question answering model. In Proceedings: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) Vol. 2020-April (pp. 1490-1493). online: IEEE. DOI Scopus9 WoS4 |
| 2020 | Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature. DOI Scopus32 |
| 2020 | Xie, Y., Zhang, J., Liao, Z., Verjans, J., Shen, C., & Xia, Y. (2020). Pairwise Relation Learning for Semi-supervised Gland Segmentation.. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, . . . L. Joskowicz (Eds.), MICCAI (5) Vol. 12265 (pp. 417-427). Switzerland: Springer Nature. DOI |
| 2020 | Liao, Z., Wu, Q., Shen, C., Van Den Hengel, A., & Verjans, J. (2020). AIML at VQA-Med 2020: Knowledge inference via a skeleton-based sentence mapping approach for medical domain visual question answering. In L. Cappellato, C. Eickhoff, N. Ferro, & A. Névéol (Eds.), Proceedings of the 11th International Conference of the CLEF Initiative (CLEF 2020), as published in CEUR Workshop Proceedings Vol. 2696 (pp. 1-14). online: CEUR-WS. Scopus8 |
| 2020 | Zhang, J., Xie, Y., Liao, Z., Verjans, J., & Xia, Y. (2020). EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12554 LNCS (pp. 17-25). Switzerland: Springer International Publishing. DOI Scopus11 |
| 2019 | Jafari, M. H., Liao, Z., Girgis, H., Pesteie, M., Rohling, R., Gin, K., . . . Abolmaesumi, P. (2019). Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11768 LNCS (pp. 655-663). Switzerland: Springer International Publishing. DOI Scopus18 |
| 2019 | Behnami, D., Liao, Z., Girgis, H., Luong, C., Rohling, R., Gin, K., . . . Abolmaesumi, P. (2019). Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11765 LNCS (pp. 696-704). Switzerland: Springer International Publishing. DOI Scopus19 |
| 2019 | Liao, Z., Jafari, M. H., Girgis, H., Gin, K., Rohling, R., Abolmaesumi, P., & Tsang, T. (2019). Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11765 LNCS (pp. 687-695). Switzerland: Springer International Publishing. DOI Scopus12 |
| 2019 | Jafari, M. H., Girgis, H., Abdi, A. H., Liao, Z., Pesteie, M., Rohling, R., . . . Abolmaesumi, P. (2019). Semi-supervised learning for cardiac left ventricle segmentation using conditional deep generative models as prior. In Proceedings of the 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI) Vol. 2019-April (pp. 649-652). online: IEEE. DOI Scopus34 |
| 2019 | Vaseli, H., Liao, Z., Abdi, A. H., Girgis, H., Behnami, D., Luong, C., . . . Tsang, T. (2019). Designing lightweight deep learning models for echocardiography view classification. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE Medical Imaging 2019 Vol. 10951 (pp. 1-8). online: SPIE. DOI Scopus26 |
| 2018 | Van Woudenberg, N., Liao, Z., Abdi, A. H., Girgis, H., Luong, C., Vaseli, H., . . . Abolmaesumi, P. (2018). Quantitative echocardiography: Real-time quality estimation and view classification implemented on a mobile android device. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11042 LNCS (pp. 74-81). Switzerland: Springer International Publishing. DOI Scopus14 |
| 2018 | Jafari, M. H., Girgis, H., Liao, Z., Behnami, D., Abdi, A., Vaseli, H., . . . Abolmaesumi, P. (2018). A unified framework integrating recurrent fully-convolutional networks and optical flow for segmentation of the left ventricle in echocardiography data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11045 LNCS (pp. 29-37). Switzerland: Springer International Publishing. DOI Scopus45 |
| 2016 | Liao, Z., & Carneiro, G. (2016). On the importance of normalisation layers in deep learning with piecewise linear activation units. In Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision (pp. 1-8). Lake Placid, NY: IEEE. DOI Scopus39 WoS22 |
| 2015 | Liao, Z., & Carneiro, G. (2015). The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. In Proceedings of the 2015 IEEE International Conference on Image Processing Vol. 2015-December (pp. 4540-4544). Quebec City, CANADA: IEEE. DOI Scopus3 WoS3 |
| 2013 | Carneiro, G., Liao, Z., & Chin, T. (2013). Closed-loop deep vision. In Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013 (pp. 1-8). USA: IEEE. DOI |
| Year | Citation |
|---|---|
| 2022 | Dorraki, M., Liao, Z., Abbott, D., Psaltis, P. J., Baker, E., Bidargaddi, N., . . . Verjans, J. W. (2022). Cardiovascular disease risk prediction via machine learning using mental health data. Poster session presented at the meeting of EUROPEAN HEART JOURNAL. OXFORD UNIV PRESS. |
| Year | Citation |
|---|---|
| 2025 | Huy, T. D., Tran, S. K., Nguyen, P., Tran, N. H., Sam, T. B., Hengel, A. V. D., . . . Phan, V. M. H. (2025). Interactive Medical Image Analysis with Concept-based Similarity Reasoning. |
| 2025 | Nguyen, D., Ho, M. K., Ta, H., Nguyen, T. T., Chen, Q., Rav, K., . . . Phan, V. M. H. (2025). Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs. |
| 2025 | Huy, T. D., Huynh, D. A., Xie, Y., Qi, Y., Chen, Q., Nguyen, P. L., . . . Phan, V. M. H. (2025). Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding. |
| 2024 | Phan, V. M. H., Xie, Y., Qi, Y., Liu, L., Liu, L., Zhang, B., . . . Verjans, J. W. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework.. |
| 2024 | Chen, Q., Zhao, R., Wang, S., Phan, V. M. H., Hengel, A. V. D., Verjans, J., . . . Wu, Q. (2024). A Survey of Medical Vision-and-Language Applications and Their Techniques. |
| 2023 | Zhang, Z., Qi, X., Zhang, B., Wu, B., Le, H., Jeong, B., . . . Hartley, R. (2023). SegReg: Segmenting OARs by Registering MR Images and CT Annotations. |
2025
- A novel AI-augmented digital system for medication deprescribing in residential aged care: the AiCT-Med national cluster randomised controlled trial. 2024 MRFF Early to Mid-Career Researchers, led by Dr Nasir Wabe @ Macquarie University ($4,468,310, Co-CI).
- Round 5 National Industry PhD Award. Joint application with SA Pathology (1 PhD scholarship + $40,000 Industry contribution).
- 2025 Faculty of SET Teaching equipment under $10k ($6,700).
- 2025 Early Mid-Career Research Grant (EMCR) Guidelines ($10,000, Co-CI, led by Dr Lia Song).
2024
- Orthopedics AI Research Collaboration with Flinders Medical Centre (FMC), Australia, and University Medical Centre Groningen (UMCG), The Netherlands. ($150,000 for 1 PhD scholarship)
2023
- Chronic myelomonocytic leukaemia AI analysis. A SA Pathology collaboration supported by the state government's funding to AIML. (https://www.sapathology.sa.gov.au/wps/wcm/connect/sa+pathology+internet+content+new/content/news/ai+and+pathology).
- A predictive model for IVF cycle outcomes from personalised granulosa cell profile. Collaboration with Robinson Research Institute (RRI Innovation Seed Funding, $50,000, Co-CI)
- Advancing Diagnosis or Treatment of Child and Adolescent Rheumatic Diseases. The Hospital Research Foundation. ($125,000, CI-A)
- AutoMedic: A scalable, smart solution to detect and resolve medicine harm. MRFF National Critical Research Infrastructure ($2,923,818, Co-CI)
2022
- Accelerating Drug Discovery with Machine Learning. DIGI + FAME Strategy Internal Grant 2021, University of Adelaide. ($20,000, Co-CI)
- Faculty of Health and Medical Sciences Research Infrastructure Funding Awards 2022, University of Adelaide. ($25,000, Co-CI)
- AI lead on the NHMRC partnership Cardiovascular Chest Pain analysis project. Collaboration with Flinders Medical Centre (https://healthtranslationsa.org.au/project/rapid-x-ai/).
- Orthopedics AI Research Collaboration with Flinders Medical Centre (FMC), Australia and University Medical Centre Groningen (UMCG), The Netherlands. ($290,000 for 1 postdoc, 2022-23)
Awards:
Winner of the 2020 ImageCLEF VQA-Med and VQG-Med challenge (https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqa/leaderboards, https://set.adelaide.edu.au/news/list/2020/06/10/winners-of-the-imageclef-2020-medical-vqa-challenge)
Course coordinator and lecturer
- COM SCI 3027 Artificial Intelligence - Semester 1 2026
- COMP SCI 3007/3007MEL/7059/7659 Artificial Intelligence - Semester 1 2025
- COMP SCI 7315 Computer Vision - Trimester 2 2025
Master of AIML/CS Capstone Research Project supervision (2021 - current)
Adv./Topics in CS Research Project supervision (2024 - current)
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Principal Supervisor | Developing 3D Medical Imaging Large Model for Low-cost Fine-Tuning on Various Downstream Tasks | Doctor of Philosophy | Doctorate | Full Time | Mr Xuyin Qi |
| 2025 | Principal Supervisor | Explainable AI for Predicting Out-of-Distribution Performance on Unlabeled Medical Images | Doctor of Philosophy | Doctorate | Full Time | Mr Haoyang Su |
| 2025 | Principal Supervisor | Pre-trained multimodel model for integrated healthcare decision support | Doctor of Philosophy | Doctorate | Full Time | Ms Nanyu Dong |
| 2025 | Principal Supervisor | Large Language Models for Automated Extraction of Clinical Insights | Doctor of Philosophy | Doctorate | Full Time | Mr Xinda Yan |
| 2025 | Principal Supervisor | Large Language Models for Automated Extraction of Clinical Insights | Doctor of Philosophy | Doctorate | Full Time | Mr Xinda Yan |
| 2025 | Principal Supervisor | Pre-trained multimodel model for integrated healthcare decision support | Doctor of Philosophy | Doctorate | Full Time | Ms Nanyu Dong |
| 2025 | Principal Supervisor | Explainable AI for Predicting Out-of-Distribution Performance on Unlabeled Medical Images | Doctor of Philosophy | Doctorate | Full Time | Mr Haoyang Su |
| 2025 | Principal Supervisor | Developing 3D Medical Imaging Large Model for Low-cost Fine-Tuning on Various Downstream Tasks | Doctor of Philosophy | Doctorate | Full Time | Mr Xuyin Qi |
| 2024 | Co-Supervisor | Advancing Medical Image Analysis with Insights from Large-scale Foundation Models | Doctor of Philosophy | Doctorate | Full Time | Yunxiang Liu |
| 2024 | Co-Supervisor | Advancing Medical Image Analysis with Insights from Large-scale Foundation Models | Doctor of Philosophy | Doctorate | Full Time | Yunxiang Liu |
| 2023 | Co-Supervisor | Photonics and Machine learning approaches to Detect Environment, Physiology and Disease | Doctor of Philosophy | Doctorate | Full Time | Ms Madeleine Cochrane |
| 2023 | Principal Supervisor | Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics | Doctor of Philosophy | Doctorate | Full Time | Mr Townim Faisal Chowdhury |
| 2023 | Principal Supervisor | Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics | Doctor of Philosophy | Doctorate | Full Time | Mr Townim Faisal Chowdhury |
| 2023 | Co-Supervisor | Photonics and Machine learning approaches to Detect Environment, Physiology and Disease | Doctor of Philosophy | Doctorate | Full Time | Ms Madeleine Cochrane |
| 2020 | Co-Supervisor | Scalable deep learning for scene understanding | Doctor of Philosophy | Doctorate | Part Time | Mr James Paul Bockman |
| 2020 | Co-Supervisor | Scalable deep learning for scene understanding | Doctor of Philosophy | Doctorate | Part Time | Mr James Paul Bockman |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2022 - 2025 | Co-Supervisor | Visual Perception and Reconstruction at Scale | Doctor of Philosophy | Doctorate | Full Time | Mr Yongtao Ge |
| 2022 - 2025 | Co-Supervisor | Skeleton Representation: From Human Pose to Protein Backbone | Doctor of Philosophy | Doctorate | Full Time | Mr Weian Mao |
| 2021 - 2024 | Co-Supervisor | Towards Effective and Efficient Semantic Segmentation | Doctor of Philosophy | Doctorate | Full Time | Mr Bowen Zhang |
| 2021 - 2025 | Co-Supervisor | Towards Accurate Semi-Supervised Semantic Segmentation with Fewer Annotations | Doctor of Philosophy | Doctorate | Full Time | Miss Jinchao Ge |
| 2020 - 2021 | Co-Supervisor | Efficient Fully Convolutional Networks for Dense Prediction Tasks | Doctor of Philosophy | Doctorate | Full Time | Ms Yifan Liu |
| 2020 - 2023 | Co-Supervisor | Label-Efficient Segmentation for Diverse Scenarios | Doctor of Philosophy | Doctorate | Full Time | Mr Yunzhi Zhuge |
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