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Johan Verjans
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Journal Articles
- 2024
- [j5]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: 103023 (2024) - 2023
- [j4]Yu Tian
, Fengbei Liu
, Guansong Pang
, Yuanhong Chen
, Yuyuan Liu, Johan W. Verjans
, Rajvinder Singh
, Gustavo Carneiro
:
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90: 102930 (2023) - 2022
- [j3]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: 894-905 (2022) - [j2]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
:
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. IEEE J. Biomed. Health Informatics 26(7): 3139-3150 (2022) - 2021
- [j1]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): 879-890 (2021)
Conference and Workshop Papers
- 2024
- [c16]Yang Zhao, Pengcheng Zhang, Xiaohan Yu, Zhibin Liao, Johan Verjans, Xiao Bai, Wei Xiang:
Occluded Person Retrieval with Hierarchical Feature Optimization. FG 2024: 1-8 - 2023
- [c15]Minh-Hieu Phan, Zhibin Liao
, Johan W. Verjans
, Minh-Son To
:
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. MICCAI (10) 2023: 56-65 - [c14]Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. MICCAI (3) 2023: 108-117 - [c13]Yu Tian, Guansong Pang
, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
:
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) 2023: 11-21 - 2022
- [c12]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: 3510-3513 - [c11]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: 88-98 - 2021
- [c10]Haifeng Shen, Kewen Liao
, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans
:
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. CHI Extended Abstracts 2021: 290:1-290:8 - [c9]Yu Tian, Guansong Pang
, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans
, Gustavo Carneiro
:
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV 2021: 4955-4966 - [c8]Yu Tian, Guansong Pang
, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans
, Rajvinder Singh, Gustavo Carneiro
:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) 2021: 128-140 - 2020
- [c7]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 - [c6]Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans
, Gustavo Carneiro
:
Photoshopping Colonoscopy Video Frames. ISBI 2020: 1-5 - [c5]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: 1490-1493 - [c4]Jianpeng Zhang, Yutong Xie
, Zhibin Liao, Johan Verjans
, Yong Xia:
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 17-25 - [c3]Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans
, Gustavo Carneiro
:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. MICCAI (6) 2020: 274-284 - [c2]Yutong Xie
, Jianpeng Zhang, Zhibin Liao, Johan Verjans
, Chunhua Shen, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) 2020: 417-427 - 2019
- [c1]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: 802-805
Informal and Other Publications
- 2024
- [i17]Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans:
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. CoRR abs/2403.07636 (2024) - [i16]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:
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CoRR abs/2404.02388 (2024) - [i15]Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To:
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. CoRR abs/2406.18967 (2024) - 2023
- [i14]Adrian Galdran
, Johan Verjans, Gustavo Carneiro
, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. CoRR abs/2303.01099 (2023) - [i13]Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To:
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. CoRR abs/2307.16143 (2023) - 2022
- [i12]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 abs/2201.10305 (2022) - [i11]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:
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. CoRR abs/2203.10690 (2022) - [i10]Yu Tian, Guansong Pang
, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR abs/2203.11725 (2022) - [i9]Yu Tian, Guansong Pang
, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
:
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR abs/2203.12121 (2022) - 2021
- [i8]Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR abs/2101.03285 (2021) - [i7]Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR abs/2101.10030 (2021) - [i6]Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR abs/2103.03423 (2021) - [i5]Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR abs/2109.01303 (2021) - 2020
- [i4]Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. CoRR abs/2006.14811 (2020) - [i3]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR abs/2008.02699 (2020) - 2019
- [i2]Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans
, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. CoRR abs/1910.10345 (2019) - 2018
- [i1]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 abs/1810.10117 (2018)
Coauthor Index
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