Zhibin Liao

65 papers A* 4A 2B 4Misc 2Journal 31Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
AR&D: A Framework for Retrieving and Describing Concepts for Interpreting AudioLLMs.
CoRR
Townim Faisal Chowdhury, Ta Duc Huy, Siqi Pan, Jeremy Stoddard, Zhibin Liao
2025 — conf
CA-Seg: An Attribute-Based Medical Image Segmentation Framework for Unified Out-of-Distribution Medical Image Segmentation.
MIUA (3)
Yunxiang Liu, Johan Verjans, Vu Minh Hieu Phan, Zhibin Liao
2025 J jnl
From Healthy Scans to Annotated Tumors: A Tumor Fabrication Framework for 3D Brain MRI Synthesis.
CoRR
Nayu Dong, Townim F. Chowdhury, Hieu Phan, Mark Jenkinson, Johan Verjans, Zhibin Liao
2025 Misc conf
From Healthy Scans to Annotated Tumors: A Tumor Fabrication Framework for 3D Brain Mri Synthesis.
DICTA
Nanyu Dong, Townim F. Chowdhury, Hieu Phan, Mark Jenkinson, Johan Verjans, Zhibin Liao
2025 A* conf
Interactive Medical Image Analysis with Concept-based Similarity Reasoning.
CVPR
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 J jnl
Interactive Medical Image Analysis with Concept-based Similarity Reasoning.
CoRR
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 A* conf
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering.
IJCAI
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 J jnl
Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs.
CoRR
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 J jnl
Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models.
CoRR
Townim Faisal Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Nanyu Dong, Minh-Son To, Anton van den Hengel, Johan Verjans, Zhibin Liao
2025 A conf
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule.
ICME
Guohui Cai, Ruicheng Zhang, Hongyang He, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Jinman Zhao, Binbin Hu, Zhibin Liao, Yang Zhao, Ying Cai
2025 B conf
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.
IJCNN
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 J jnl
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.
CoRR
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
2025 J jnl
Medical artificial intelligence for early detection of lung cancer: A survey.
Eng. Appl. Artif. Intell.
Guohui Cai, Ying Cai, Zeyu Zhang, Yuanzhouhan Cao, Lin Wu, Daji Ergu, Zhibin Liao, Yang Zhao
2025 — conf
PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts.
MICCAI (5)
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
2025 B conf
ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer.
CBMS
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 J jnl
ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer.
CoRR
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 J jnl
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding.
CoRR
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
2024 — conf
A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures.
ISBI
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
2024 J jnl
A Survey of Medical Vision-and-Language Applications and Their Techniques.
CoRR
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
2024 — conf
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.
MICCAI (10)
Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao
2024 J jnl
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.
CoRR
Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao
2024 A* conf
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.
CVPR
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 J jnl
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.
CoRR
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 A* conf
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.
CVPR
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 J jnl
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework.
CoRR
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 — conf
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning.
PAKDD (2)
Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo
2024 — conf
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA.
MIUA (1)
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
2024 J jnl
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA.
CoRR
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
2024 J jnl
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule.
CoRR
Guohui Cai, Ying Cai, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Binbin Hu, Zhibin Liao, Yang Zhao
2024 B conf
Occluded Person Retrieval with Hierarchical Feature Optimization.
FG
Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang
2024 — conf
SegReg: Segmenting OARs by Registering MR Images and CT Annotations.
ISBI
Zeyu Zhang, Xuyin Qi, Bowen Zhang, Biao Wu, Hien Le, Bora Jeong, Zhibin Liao, Yunxiang Liu, Johan Verjans, Minh-Son To, Richard I. Hartley
2024 — conf
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.
MICCAI (7)
Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To
2024 J jnl
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.
CoRR
Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To
2023 — conf
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation.
MICCAI (10)
Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To
2023 J jnl
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation.
CoRR
Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To
2023 — conf
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.
MICCAI (3)
Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia
2022 J jnl
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification.
CoRR
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
2022 J jnl
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification.
IEEE J. Biomed. Health Informatics
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
2022 J jnl
Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.
IEEE Trans. Image Process.
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
2021 — conf
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps.
CHI Extended Abstracts
Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans
2021 J jnl
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.
IEEE Trans. Medical Imaging
Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
2020 — conf
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering.
CLEF (Working Notes)
Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans
2020 J jnl
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro
2020 — conf
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.
MyoPS@MICCAI
Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia
2020 — conf
Medical Data Inquiry Using a Question Answering Model.
ISBI
Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans
2020 J jnl
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment.
IEEE Trans. Medical Imaging
Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
2020 — conf
Pairwise Relation Learning for Semi-supervised Gland Segmentation.
MICCAI (5)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
2020 J jnl
Pairwise Relation Learning for Semi-supervised Gland Segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia
2019 J jnl
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.
Mohammad H. Jafari, Hany Girgis, Nathan Van Woudenberg, Zhibin Liao, Robert Rohling, Ken Gin, Purang Abolmaesumi, Terasa Tsang
2019 J jnl
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss.
IEEE Trans. Medical Imaging
Fatemeh Taheri Dezaki, Zhibin Liao, Christina Luong, Hany Girgis, Neeraj Dhungel, Amir H. Abdi, Delaram Behnami, Ken Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang
2019 — conf
Designing lightweight deep learning models for echocardiography view classification.
Image-Guided Procedures
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
2019 — conf
Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms.
MICCAI (2)
Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
2019 — conf
Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN.
MICCAI (5)
Mohammad H. Jafari, Zhibin Liao, Hany Girgis, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi
2019 — conf
Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks.
MICCAI (2)
Zhibin Liao, Mohammad H. Jafari, Hany Girgis, Kenneth Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang
2019 J jnl
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment.
CoRR
Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
2019 — conf
Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior.
ISBI
Mohammad H. Jafari, Hany Girgis, Amir H. Abdi, Zhibin Liao, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi
2018 — conf
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.
DLMIA/ML-CDS@MICCAI
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 J jnl
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks.
CoRR
Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro
2018 — conf
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device.
POCUS/BIVPCS/CuRIOUS/CPM@MICCAI
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
2017 J jnl
A deep convolutional neural network module that promotes competition of multiple-size filters.
Pattern Recognit.
Zhibin Liao, Gustavo Carneiro
2016 A conf
On the importance of normalisation layers in deep learning with piecewise linear activation units.
WACV
Zhibin Liao, Gustavo Carneiro
2015 J jnl
Competitive Multi-scale Convolution.
CoRR
Zhibin Liao, Gustavo Carneiro
2015 J jnl
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units.
CoRR
Zhibin Liao, Gustavo Carneiro
2015 B conf
The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification.
ICIP
Zhibin Liao, Gustavo Carneiro
2013 Misc conf
Closed-Loop Deep Vision.
DICTA
Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin