Dr Zhibin Liao
Grant-Funded Researcher (C)
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.
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Appointments
Date Position Institution name 2022 - ongoing Senior Research Fellow University of Adelaide 2019 - 2021 Postdoctoral Resaerch Fellow University of Adelaide 2017 - 2019 Postdoctoral Research Fellow University of Birtish Columbia -
Education
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
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Journals
Year Citation 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.
2023 Prijs, J., Liao, Z., To, M. S., Verjans, J., Jutte, P. C., Stirler, V., . . . Worsley, D. (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, 49(2), 1057-1069.
Scopus4 Europe PMC12022 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.
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, how, and what. Bone and Joint Journal, 104 B(8), 911-914.
Scopus4 Europe PMC12022 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.
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.
Scopus6 Europe PMC22021 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.
Scopus5 WoS52021 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.
Scopus133 WoS101 Europe PMC882020 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.
Scopus12 WoS112020 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.
Scopus18 Europe PMC72019 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.
Scopus29 Europe PMC82019 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.
Scopus47 Europe PMC62017 Liao, Z., & Carneiro, G. (2017). A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognition, 71, 94-105.
Scopus23 WoS21- Phan, M. H., Liao, Z., Verjans, J. W., & To, M. -S. (n.d.). Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. MICCAI 2023. -
Conference Papers
Year Citation 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.
Scopus5 WoS32020 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.
Scopus152020 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.
Scopus32020 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.
Scopus72019 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.
Scopus132019 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.
Scopus132019 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.
Scopus72019 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.
Scopus262019 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.
Scopus202018 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.
Scopus82018 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.
Scopus322016 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.
Scopus23 WoS12015 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.
Scopus3 WoS32013 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.
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Conference Items
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.
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 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 Co-Supervisor Causal discovery and Out-of-Distribution generalization: sampling from posterior over causal graphs Doctor of Philosophy Doctorate Full Time Mr Nadhir Hassen 2022 Co-Supervisor Computer Vision Doctor of Philosophy Doctorate Full Time Mr Yongtao Ge 2022 Principal Supervisor Improving the Few-Shot Generalization of Data-to-Text Generation Models Doctor of Philosophy Doctorate Full Time Mr Xuan Ren 2022 Co-Supervisor Toward efficient 2D human pose estimation with transformer and conditional Convolution Doctor of Philosophy Doctorate Full Time Mr Weian Mao 2021 Co-Supervisor Efficient deep-learning based dynamic neural representational decoders for high-resolution semanticsegmentation Doctor of Philosophy Doctorate Full Time Mr Bowen Zhang 2021 Co-Supervisor Towards Accurate Semi-Supervised Semantic Segmentation with Fewer Annotations Doctor of Philosophy Doctorate Full Time Miss Jinchao Ge 2020 Co-Supervisor Scalable deep learning for scene understanding Doctor of Philosophy Doctorate Full Time Mr James Paul Bockman -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 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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