Johan Verjans

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Magnetic Resonance

Spatial Normalization

Top Venues

Medical Image Anal.

Publications

Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. 91 (2024)
Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang
Occluded Person Retrieval with Hierarchical Feature Optimization. FG (2024)
Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Head Multi-Loss Model Calibration. CoRR (2023)
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC (2022)
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 (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) (2022)
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR (2022)
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) (2021)
Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI (2020)
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)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR (2020)
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)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) (2020)
Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI (2019)
Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR (2018)