Johan W. Verjans

32 papers A* 4Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Overthinking Causes Hallucination: Tracing Confounder Propagation in Vision Language Models. CoRR Abin Shoby, Ta Duc Huy, Tuan Dung Nguyen, Minh Khoi Ho, Qi Chen, Anton van den Hengel, Phi Le Nguyen, Johan W. Verjans, Vu Minh Hieu Phan
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	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`	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`	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`	Multi-Head Multi-Loss Model Calibration. MICCAI (3) Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
2023	J	`jnl`	Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
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`	Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
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`	Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
2022	J	`jnl`	Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	—	`conf`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
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`	Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	A*	`conf`	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	—	`conf`	Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. MICCAI (6) Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	J	`jnl`	Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. CoRR Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	—	`conf`	Photoshopping Colonoscopy Video Frames. ISBI Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2019	J	`jnl`	Photoshopping Colonoscopy Video Frames. CoRR Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro