Johan Verjans

26 papers A* 1B 1Misc 2Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
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 Misc conf
Flow-Selectivity SSM: A Generative State-Space Model with History-Aware GFlowNet Policies.
DICTA
Nadhir Hassen, Johan Verjans
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
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 — 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
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 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 J jnl
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
Medical Image Anal.
Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
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
2023 J jnl
Multi-Head Multi-Loss Model Calibration.
CoRR
Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
2022 — conf
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
MICCAI (3)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
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
2022 — conf
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.
EMBC
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
2022 J jnl
Mutual information neural estimation for unsupervised multi-modal registration of brain images.
CoRR
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
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 — 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 — 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 — conf
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.
ISBI
Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
2018 J jnl
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging.
CoRR
Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro