Zhibin Liao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
11
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CBMS | ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer. | Xuyin Qi, Zeyu Zhang, Aaron Berliano Handoko, Huazhan Zheng, Mingxi Chen, Ta Duc Huy, Vu Minh Hieu Phan, Lei Zhang, Linqi Cheng, Shiyu Jiang, Zhiwei Zhang, Zhibin Liao, Yang Zhao, Minh-Son To |
| 2025 | CVPR | Interactive Medical Image Analysis with Concept-based Similarity Reasoning. | Ta Duc Huy, Sen Kim Tran, Phan Nguyen, Nguyen Hoang Tran, Tran Bao Sam, Anton van den Hengel, Zhibin Liao, Johan W. Verjans, Minh-Son To, Vu Minh Hieu Phan |
| 2025 | DICTA | From Healthy Scans to Annotated Tumors: A Tumor Fabrication Framework for 3D Brain Mri Synthesis. | Nanyu Dong, Townim F. Chowdhury, Hieu Phan, Mark Jenkinson, Johan Verjans, Zhibin Liao |
| 2025 | ICCV | Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models. | Townim Faisal Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Nanyu Dong, Minh-Son To, Anton van den Hengel, Johan W. Verjans, Zhibin Liao |
| 2025 | ICCV | Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding. | Ta Duc Huy, Duy Anh Huynh, Yutong Xie, Yuankai Qi, Qi Chen, Phi Le Nguyen, Sen Kim Tran, Son Lam Phung, Anton van den Hengel, Zhibin Liao, Minh-Son To, Johan W. Verjans, Vu Minh Hieu Phan |
| 2025 | IJCAI | Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. | Dung Nguyen, Minh Khoi Ho, Huy D. Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan |
| 2025 | IJCNN | MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. | Xuyin Qi, C. Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To |
| 2025 | MICCAI | PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. | Ta Duc Huy, Abin Shoby, Sen Kim Tran, Yutong Xie, Qi Chen, Phi Le Nguyen, Akshay Gole, Lingqiao Liu, Antonios Perperidis, Mark Friswell, Rebecca Linke, Andrea Glynn, Minh-Son To, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh Hieu Phan |
| 2024 | CVPR | CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. | 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 |
| 2024 | CVPR | Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. | Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans |
| 2024 | MICCAI | AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. | Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao |
| 2024 | MICCAI | Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. | Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To |
| 2024 | PAKDD | Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. | Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo |
| 2023 | MICCAI | Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. | Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia |
| 2023 | MICCAI | Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. | Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To |
| 2021 | CHI | Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. | Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans |
| 2020 | MICCAI | Pairwise Relation Learning for Semi-supervised Gland Segmentation. | Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia |
| 2020 | MICCAI | EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. | Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia |
| 2019 | MICCAI | Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms. | Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi |
| 2019 | MICCAI | Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN. | Mohammad H. Jafari, Zhibin Liao, Hany Girgis, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi |
| 2019 | MICCAI | Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks. | Zhibin Liao, Mohammad H. Jafari, Hany Girgis, Kenneth Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang |
| 2018 | MICCAI | A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data. | Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi |
| 2018 | MICCAI | Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device. | 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 |
| 2016 | WACV | On the importance of normalisation layers in deep learning with piecewise linear activation units. | Zhibin Liao, Gustavo Carneiro |
| 2015 | ICIP | The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. | Zhibin Liao, Gustavo Carneiro |
| 2013 | DICTA | Closed-Loop Deep Vision. | Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin |