| Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection J Zhang, Y Xie, G Pang, Z Liao, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ... IEEE transactions on medical imaging 40 (3), 879-890, 2020 | 989* | 2020 |
| Cardiac Phase Detection in Echocardiograms with Densely Gated Recurrent Neural Networks and Global Extrema Loss FT Dezaki, Z Liao, C Luong, H Girgis, N Dhungel, AH Abdi, D Behnami, ... IEEE Transactions on Medical Imaging 38 (8), 1821-1832, 2018 | 93 | 2018 |
| A deep convolutional neural network module that promotes competition of multiple-size filters Z Liao, G Carneiro Pattern Recognition 71, 94-105, 2017 | 92* | 2017 |
| On the importance of normalisation layers in deep learning with piecewise linear activation units Z Liao, G Carneiro 2016 IEEE winter conference on applications of computer vision (WACV), 1-8, 2016 | 81 | 2016 |
| A unified framework integrating recurrent fully-convolutional networks and optical flow for segmentation of the left ventricle in echocardiography data MH Jafari, H Girgis, Z Liao, D Behnami, A Abdi, H Vaseli, C Luong, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 61 | 2018 |
| Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training MH Jafari, H Girgis, N Van Woudenberg, Z Liao, R Rohling, K Gin, ... International journal of computer assisted radiology and surgery 14, 1027-1037, 2019 | 55 | 2019 |
| On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment Z Liao, H Girgis, A Abdi, H Vaseli, J Hetherington, R Rohling, K Gin, ... IEEE Transactions on Medical Imaging, 2019 | 53 | 2019 |
| Designing lightweight deep learning models for echocardiography view classification H Vaseli, Z Liao, AH Abdi, H Girgis, D Behnami, C Luong, FT Dezaki, ... Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 40 | 2019 |
| Semi-supervised learning for cardiac left ventricle segmentation using conditional deep generative models as prior MH Jafari, H Girgis, AH Abdi, Z Liao, M Pesteie, R Rohling, K Gin, T Tsang, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 39 | 2019 |
| Pairwise relation learning for semi-supervised gland segmentation Y Xie, J Zhang, Z Liao, J Verjans, C Shen, Y Xia Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
| Approximate Fisher information matrix to characterise the training of deep neural networks Z Liao, T Drummond, I Reid, G Carneiro IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (1), 15-26, 2018 | 32 | 2018 |
| Intra-and inter-pair consistency for semi-supervised gland segmentation Y Xie, J Zhang, Z Liao, J Verjans, C Shen, Y Xia IEEE Transactions on Image Processing 31, 894-905, 2021 | 30 | 2021 |
| Human-AI interactive and continuous sensemaking: A case study of image classification using scribble attention maps H Shen, K Liao, Z Liao, J Doornberg, M Qiao, A Van Den Hengel, ... extended abstracts of the 2021 CHI conference on human factors in computing …, 2021 | 25 | 2021 |
| Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN) J Prijs, Z Liao, MS To, J Verjans, PC Jutte, V Stirler, J Olczak, M Gordon, ... European Journal of Trauma and Emergency Surgery 49 (2), 1057-1069, 2023 | 23 | 2023 |
| Dual-view joint estimation of left ventricular ejection fraction with uncertainty modelling in echocardiograms D Behnami, Z Liao, H Girgis, C Luong, R Rohling, K Gin, T Tsang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 23 | 2019 |
| Echocardiography segmentation by quality translation using anatomically constrained cyclegan MH Jafari, Z Liao, H Girgis, M Pesteie, R Rohling, K Gin, T Tsang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 22 | 2019 |
| AIML at VQA-Med 2020: Knowledge inference via a skeleton-based sentence mapping approach for medical domain visual question answering Z Liao, Q Wu, C Shen, A Van Den Hengel, J Verjans CEUR-WS, 2020 | 21 | 2020 |
| Automated estimation of echocardiogram image quality in hospitalized patients C Luong, Z Liao, A Abdi, H Girgis, R Rohling, K Gin, J Jue, D Yeung, ... The International Journal of Cardiovascular Imaging 37, 229-239, 2021 | 19 | 2021 |
| CNN attention guidance for improved orthopedics radiographic fracture classification Z Liao, K Liao, H Shen, MF Van Boxel, J Prijs, RL Jaarsma, JN Doornberg, ... IEEE journal of biomedical and health informatics 26 (7), 3139-3150, 2022 | 18 | 2022 |
| Echocardiography view classification using quality transfer star generative adversarial networks Z Liao, MH Jafari, H Girgis, K Gin, R Rohling, P Abolmaesumi, T Tsang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 18 | 2019 |
Verjans JohanAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
