Johan Verjans

According to our database, Johan Verjans authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.

Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia

Medical Image Anal., January, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Anton van den Hengel, Johan W. Verjans, Zhibin Liao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures.

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 Jaarsma, Job Doornberg, Johan Verjans

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SegReg: Segmenting OARs by Registering MR Images and CT Annotations.

Zeyu Zhang, Xuyin Qi, Bowen Zhang, Biao Wu, Hien Le, Bora Jeong, Zhibin Liao, Yunxiang Liu, Johan Verjans, Minh-Son To, Richard I. Hartley

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Occluded Person Retrieval with Hierarchical Feature Optimization.

Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.

Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

Medical Image Anal., December, 2023

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.

Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation.

Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Head Multi-Loss Model Calibration.

Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.

Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia

IEEE Trans. Image Process., 2022

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.

Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

CoRR, 2022

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.

Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia

IEEE Trans. Medical Imaging, 2021

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

CoRR, 2021

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features.

Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

CoRR, 2021

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning.

Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro

CoRR, 2021

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images.

Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.

Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.

Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Pairwise Relation Learning for Semi-supervised Gland Segmentation.

Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy.

Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Photoshopping Colonoscopy Video Frames.

Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Medical Data Inquiry Using a Question Answering Model.

Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering.

Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans

Proceedings of the Working Notes of CLEF 2020, 2020

2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019