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Johan W. Verjans
Johan W. Verjans
University of Adelaide
Artificial intelligence
Pattern recognition
Anomaly detection
Code (cryptography)
Computer science
4
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4
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0
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Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning
2021
ICCV | International Conference on Computer Vision
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan W. Verjans
Gustavo Carneiro
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Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
2021
MICCAI | Medical Image Computing and Computer-Assisted Intervention
Yu Tian
Guansong Pang
Fengbei Liu
Yuanhong Chen
Seon Ho Shin
Johan W. Verjans
Rajvinder Singh
Gustavo Carneiro
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The development of tumour vascular networks.
2021
Anahita Fouladzadeh
Mohsen Dorraki
Kay Khine Myo Min
Michaelia P. Cockshell
Emma J. Thompson
Johan W. Verjans
Andrew Allison
Claudine S. Bonder
Derek Abbott
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Effective Carbon Number and Inter-Class Retention Time Conversion Enhances Lipid Identifications in Untargeted Clinical Lipidomics
2021
ChemRxiv
Jake White
Paul J. Trim
Thalia Salagaras
Aaron Long
Peter J. Psaltis
Johan W. Verjans
Marten F. Snel
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