End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. - Gerard Snaauw; Dong Gong; Gabriel Maicas; Anton van den Hengel; Wiro J. Niessen; Johan Verjans; Gustavo Carneiro 001 (ISBI, 2019)

AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering. - Zhibin Liao; Qi Wu 001; Chunhua Shen; Anton van den Hengel; Johan Verjans (CLEF (Working Notes), 2020)

Medical Data Inquiry Using a Question Answering Model. - Zhibin Liao; Lingqiao Liu; Qi Wu 001; Damien Teney; Chunhua Shen; Anton van den Hengel; Johan Verjans (ISBI, 2020)

Photoshopping Colonoscopy Video Frames. - Yuyuan Liu; Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ISBI, 2020)

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. - Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (MICCAI (6), 2020)

Pairwise Relation Learning for Semi-supervised Gland Segmentation. - Yutong Xie 001; Jianpeng Zhang; Zhibin Liao; Johan Verjans; Chunhua Shen; Yong Xia 001 (MICCAI (5), 2020)

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. - Jianpeng Zhang; Yutong Xie 001; Zhibin Liao; Johan Verjans; Yong Xia 001 (MyoPS@MICCAI, 2020)

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 (CHI Extended Abstracts, 2021)

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. - Yu Tian 001; Guansong Pang; Yuanhong Chen; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ICCV, 2021)

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. - Yu Tian 001; Guansong Pang; Fengbei Liu; Yuanhong Chen; Seon-Ho Shin; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (MICCAI (5), 2021)

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. - Yu Tian 001; Leonardo Zorron Cheng Tao Pu; Yuyuan Liu; Gabriel Maicas; Johan W. Verjans; Alastair D. Burt; Seon-Ho Shin; Rajvinder Singh; Gustavo Carneiro 001 (CoRR, 2021)

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. - Yu Tian 001; Guansong Pang; Yuanhong Chen; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (CoRR, 2021)

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. - Yu Tian 001; Fengbei Liu; Guansong Pang; Yuanhong Chen; Yuyuan Liu; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (CoRR, 2021)

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. - Jianpeng Zhang; Yutong Xie 001; Guansong Pang; Zhibin Liao; Johan Verjans; Wenxing Li; Zongji Sun; Jian He; Yi Li; Chunhua Shen; Yong Xia 001 (IEEE Trans. Medical Imaging, 2021)

Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. - Gerard Snaauw; Michele Sasdelli; Gabriel Maicas; Stephan Lau; Johan Verjans; Mark Jenkinson; Gustavo Carneiro 001 (EMBC, 2022)

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. - Yu Tian 001; Guansong Pang; Fengbei Liu; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Johan Verjans; Gustavo Carneiro 001 (MICCAI (3), 2022)

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (CoRR, 2022)

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. - Yutong Xie 001; Jianpeng Zhang; Zhibin Liao; Johan Verjans; Chunhua Shen; Yong Xia 001 (IEEE Trans. Image Process., 2022)

CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. - 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 (IEEE J. Biomed. Health Informatics, 2022)

Multi-Head Multi-Loss Model Calibration. - Adrian Galdran; Johan W. Verjans; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (3), 2023)

Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. - Minh-Hieu Phan; Zhibin Liao; Johan W. Verjans; Minh-Son To (MICCAI (10), 2023)

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Mengyu Wang 001; Gustavo Carneiro 001 (MLMI@MICCAI (2), 2023)

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. - Yu Tian 001; Fengbei Liu; Guansong Pang; Yuanhong Chen; Yuyuan Liu; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (Medical Image Anal., 2023)

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. - Townim Faisal Chowdhury; Kewen Liao; Vu Minh Hieu Phan; Minh-Son To; Yutong Xie 001; Kevin Hung; David Ross; Anton van den Hengel; Johan W. Verjans; Zhibin Liao (CVPR, 2024)

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. - Vu Minh Hieu Phan; Yutong Xie 001; Yuankai Qi; Lingqiao Liu; Liyang Liu; Bowen Zhang 009; Zhibin Liao; Qi Wu 001; Minh-Son To; Johan W. Verjans (CVPR, 2024)

Occluded Person Retrieval with Hierarchical Feature Optimization. - Yang Zhao 019; Pengcheng Zhang 003; Xiaohan Yu 001; Zhibin Liao; Johan Verjans; Xiao Bai 001; Wei Xiang (FG, 2024)

SegReg: Segmenting OARs by Registering MR Images and CT Annotations. - Zeyu Zhang 006; Xuyin Qi; Bowen Zhang 009; Biao Wu 006; Hien Le; Bora Jeong; Zhibin Liao; Yunxiang Liu; Johan Verjans; Minh-Son To; Richard I. Hartley (ISBI, 2024)

A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures. - Yang Zhao 019; Zhibin Liao; Yunxiang Liu; Koen Oude Nijhuis; Britt Barvelink; Jasper Prijs; Joost Colaris; Mathieu Wijffels; Max Reijman; Zeyu Zhang 006; Minh-Son To; Ruurd L. Jaarsma; et al. (ISBI, 2024)

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 001; Anton van den Hengel; Johan W. Verjans; Zhibin Liao (MICCAI (10), 2024)

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. - Vu Minh Hieu Phan; Yutong Xie 001; Bowen Zhang 009; Yuankai Qi; Zhibin Liao; Antonios Perperidis; Son Lam Phung; Johan W. Verjans; Minh-Son To (MICCAI (7), 2024)

A Survey of Medical Vision-and-Language Applications and Their Techniques. - Qi Chen 014; Ruoshan Zhao; Sinuo Wang; Vu Minh Hieu Phan; Anton van den Hengel; Johan Verjans; Zhibin Liao; Minh-Son To; Yong Xia 001; Jian Chen 011; Yutong Xie 001; Qi Wu 001 (CoRR, 2024)

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. - Yutong Xie 001; Jianpeng Zhang; Lingqiao Liu; Hu Wang 005; Yiwen Ye; Johan Verjans; Yong Xia 001 (Medical Image Anal., 2024)

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 (CVPR, 2025)

CA-Seg: An Attribute-Based Medical Image Segmentation Framework for Unified Out-of-Distribution Medical Image Segmentation. - Yunxiang Liu; Johan Verjans; Vu Minh Hieu Phan; Zhibin Liao (MIUA (3), 2025)

Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs. - Dung Nguyen; Minh Khoi Ho; Huy D. Ta; Thanh Tam Nguyen; Qi Chen 014; Kumar Rav; Quy Duong Dang; Satwik Ramchandre; Son Lam Phung; Zhibin Liao; Minh-Son To; Johan Verjans; et al. (CoRR, 2025)

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding. - Ta Duc Huy; Duy Anh Huynh; Yutong Xie 001; Yuankai Qi; Qi Chen 014; Phi Le Nguyen; Sen Kim Tran; Son Lam Phung; Anton van den Hengel; Zhibin Liao; Minh-Son To; Johan W. Verjans; et al. (CoRR, 2025)