• 262 Citations
  • 9 h-Index
1989 …2021
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Personal profile

Research interests

Pattern recognition, computer vision and machine vision, artificial neural networks, machine learning and deep learning.  Applications in medical image analysis, malware detection, industrial inspection.

Fingerprint Dive into the research topics where Len Hamey is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Neural networks Engineering & Materials Science
Color Engineering & Materials Science
Feedforward neural networks Engineering & Materials Science
Computer vision Engineering & Materials Science
Inspection Engineering & Materials Science
Image processing Engineering & Materials Science
Learning systems Engineering & Materials Science
Self organizing maps Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2007 2021

Automated pathogen detection using time-gated luminescence microscopy

Connally, R., Piper, J., Shen, J., Iredell, J., Hamey, L. & APAI, A.

1/01/0731/12/11

Project: Research

Research Outputs 1989 2019

Adversarial attacks on mobile malware detection

Shahpasand, M., Hamey, L., Vatsalan, D. & Xue, M., 21 Mar 2019, AI4Mobile 2019 - 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile. Liu, Y., Ma, L., Li, L. & Xue, M. (eds.). Piscataway NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 17-20 4 p. 8672711

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Learning systems
Smartphones
Security of data
Classifiers
Malware

Biomedical concept detection in medical images: MQ-CSIRO at 2019 ImageCLEFmed caption task

Singh, S., Karimi, S., Ho-Shon, K. & Hamey, L., 9 Sep 2019, CLEF 2019 Working Notes: Working Notes of CLEF 2019 - Conferenceand Labs of the Evaluation Forum. Cappellato, L., Ferro, N., Losada, D. E. & Müller, H. (eds.). p. 1-15 15 p. 131. (CEUR Workshop Proceedings; vol. 2380).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
File
Radiology
Labels
Classifiers
Neural networks
Imaging techniques

Convolutional neural networks for prostate magnetic resonance image segmentation

Hassanzadeh, T., Hamey, L. G. C. & Ho-Shon, K., 13 Mar 2019, In : IEEE Access. 7, p. 36748-36760 13 p., 8666973.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Magnetic resonance
Image segmentation
Neural networks
Imaging techniques
Network performance

Face-Cap: image captioning using facial expression analysis

Mohamad Nezami, O., Dras, M., Anderson, P. & Hamey, L., 2019, Machine Learning and Principles and Practice of Knowledge Discovery in Databases: European Conference, ECML-PKDD 2018. Proceedings, Part I. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 226-240 15 p. (Lecture Notes in Artificial Intelligence; vol. 11051).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Facial Expression
Face
Cap
Image Model
Model

Impact of MRI protocols on Alzheimer's disease detection

Alam, S., Hamey, L. & Ho-Shon, K., 16 Jan 2019, 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018. Murshed, M., Paul, M., Asikuzzaman, M., Pickering, M., Natu, A., Robles-Kelly, A., You, S., Zheng, L. & Rahman, A. (eds.). Institute of Electrical and Electronics Engineers (IEEE), 8 p. 8615774

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Magnetic resonance
Atlases
Alzheimer Disease
Magnetic Resonance Imaging
Imaging techniques