Zhibin Liao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 38

Top Topics

Quality Assessment

Top Venues

IEEE Trans. Medical Imaging

Publications

Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert A. McLaughlin, Jamie Craig, Minh-Son To
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. MIUA (1) (2024)
Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. CoRR (2024)
Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. PAKDD (2) (2024)
Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CoRR (2024)
Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang
Occluded Person Retrieval with Hierarchical Feature Optimization. FG (2024)
Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert Mclaughlin, Jamie Craig, Minh-Son To
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. CoRR (2024)
Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. CoRR (2024)
Minh Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. CoRR (2023)
Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. MICCAI (10) (2023)
Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. MICCAI (3) (2023)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. IEEE Trans. Image Process. 31 (2022)
Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton van den Hengel, Johan W. Verjans
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton van den Hengel, Johan W. Verjans
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. CoRR (2022)
Haifeng Shen, Kewen Liao, Zhibin Liao, Job Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. CHI Extended Abstracts (2021)
Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging 40 (3) (2021)
Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI (2020)
Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans
Medical Data Inquiry Using a Question Answering Model. ISBI (2020)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR (2020)
Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering. CLEF (Working Notes) (2020)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) (2020)
Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment. IEEE Trans. Medical Imaging 39 (6) (2020)
Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Mohammad H. Jafari, Hany Girgis, Amir H. Abdi, Zhibin Liao, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi
Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior. ISBI (2019)
Zhibin Liao, Mohammad H. Jafari, Hany Girgis, Kenneth Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang
Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks. MICCAI (2) (2019)
Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms. MICCAI (2) (2019)
Mohammad H. Jafari, Zhibin Liao, Hany Girgis, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi
Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN. MICCAI (5) (2019)
Mohammad H. Jafari, Hany Girgis, Nathan Van Woudenberg, Zhibin Liao, Robert Rohling, Ken Gin, Purang Abolmaesumi, Terasa Tsang
Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment. CoRR (2019)
Hooman Vaseli, Zhibin Liao, Amir H. Abdi, Hany Girgis, Delaram Behnami, Christina Luong, Fatemeh Taheri Dezaki, Neeraj Dhungel, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang
Designing lightweight deep learning models for echocardiography view classification. Medical Imaging: Image-Guided Procedures (2019)
Fatemeh Taheri Dezaki, Zhibin Liao, Christina Luong, Hany Girgis, Neeraj Dhungel, Amir H. Abdi, Delaram Behnami, Ken Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss. IEEE Trans. Medical Imaging 38 (8) (2019)
Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. CoRR (2018)
Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data. DLMIA/ML-CDS@MICCAI (2018)
Nathan Van Woudenberg, Zhibin Liao, Amir H. Abdi, Hani Girgis, Christina Luong, Hooman Vaseli, Delaram Behnami, Haotian Zhang, Kenneth Gin, Robert Rohling, Teresa Tsang, Purang Abolmaesumi
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI (2018)
Zhibin Liao, Gustavo Carneiro
A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognit. 71 (2017)
Zhibin Liao, Gustavo Carneiro
On the importance of normalisation layers in deep learning with piecewise linear activation units. WACV (2016)
Zhibin Liao, Gustavo Carneiro
The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. ICIP (2015)
Zhibin Liao, Gustavo Carneiro
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units. CoRR (2015)
Zhibin Liao, Gustavo Carneiro
Competitive Multi-scale Convolution. CoRR (2015)
Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin
Closed-Loop Deep Vision. DICTA (2013)