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2020 – today
- 2025
[i17]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:
ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer. CoRR abs/2501.01392 (2025)- [i16]Xuyin Qi, 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:
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. CoRR abs/2502.00631 (2025) - [i15]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:
Interactive Medical Image Analysis with Concept-based Similarity Reasoning. CoRR abs/2503.06873 (2025) - 2024
- [c26]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. CVPR 2024: 11072-11081 - [c25]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. CVPR 2024: 11492-11501 - [c24]Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang:
Occluded Person Retrieval with Hierarchical Feature Optimization. FG 2024: 1-8 - [c23]Zeyu Zhang, Xuyin Qi, Bowen Zhang, Biao Wu, Hien Le, Bora Jeong, Zhibin Liao, Yunxiang Liu, Johan Verjans, Minh-Son To, Richard I. Hartley:
SegReg: Segmenting OARs by Registering MR Images and CT Annotations. ISBI 2024: 1-5 - [c22]Yang Zhao, Zhibin Liao, Yunxiang Liu, Koen Oude Nijhuis, Britt Barvelink, Jasper Prijs, Joost Colaris, Mathieu Wijffels, Max Reijman, Zeyu Zhang, Minh-Son To, Ruurd L. Jaarsma, Job Doornberg, Johan Verjans:
A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures. ISBI 2024: 1-5 - [c21]Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. MICCAI (10) 2024: 35-45 - [c20]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. MICCAI (7) 2024: 690-700 - [c19]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: 158-172 - [c18]Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo:
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. PAKDD (2) 2024: 327-338 - [i14]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 abs/2403.07636 (2024) - [i13]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 abs/2404.02388 (2024) - [i12]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. CoRR abs/2404.11525 (2024) - [i11]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 abs/2406.18967 (2024) - [i10]Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. CoRR abs/2408.02001 (2024) - [i9]Guohui Cai, Ying Cai, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Binbin Hu, Zhibin Liao, Yang Zhao:
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. CoRR abs/2409.14028 (2024) - [i8]Qi Chen, Ruoshan Zhao, Sinuo Wang, Vu Minh Hieu Phan, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh-Son To, Yong Xia, Jian Chen, Yutong Xie, Qi Wu:
A Survey of Medical Vision-and-Language Applications and Their Techniques. CoRR abs/2411.12195 (2024) - 2023
- [c17]Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To:
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. MICCAI (10) 2023: 56-65 - [c16]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: 603-613 - [i7]Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To:
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. CoRR abs/2307.16143 (2023) - 2022
- [j8]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: 894-905 (2022) - [j7]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): 3139-3150 (2022) - [i6]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 abs/2203.10690 (2022) - 2021
- [j6]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): 879-890 (2021) - [c15]Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. 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: 290:1-290:8 - 2020
- [j5]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): 15-26 (2020) - [j4]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): 1868-1883 (2020) - [c14]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 - [c13]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: 1490-1493 - [c12]Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia:
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 17-25 - [c11]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) 2020: 417-427 - [i5]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR abs/2008.02699 (2020)
2010 – 2019
- 2019
- [j3]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): 1027-1037 (2019) - [j2]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): 1821-1832 (2019) - [c10]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: 649-652 - [c9]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: 655-663 - [c8]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: 687-695 - [c7]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: 696-704 - [c6]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. Image-Guided Procedures 2019: 109510F - [i4]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 abs/1911.00674 (2019) - 2018
- [c5]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: 29-37 - [c4]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: 74-81 - [i3]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. CoRR abs/1810.06767 (2018) - 2017
- [j1]Zhibin Liao, Gustavo Carneiro:
A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognit. 71: 94-105 (2017) - 2016
- [c3]Zhibin Liao, Gustavo Carneiro:
On the importance of normalisation layers in deep learning with piecewise linear activation units. WACV 2016: 1-8 - 2015
- [c2]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: 4540-4544 - [i2]Zhibin Liao, Gustavo Carneiro:
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units. CoRR abs/1508.00330 (2015) - [i1]Zhibin Liao, Gustavo Carneiro:
Competitive Multi-scale Convolution. CoRR abs/1511.05635 (2015) - 2013
- [c1]Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin:
Closed-Loop Deep Vision. DICTA 2013: 1-8
Coauthor Index
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