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Pamela Johnston
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Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward.
E Elyan, P Vuttipittayamongkol, P Johnston, K Martin, K McPherson, ...
Artificial Intelligence Surgery 2, 2022
602022
A review of digital video tampering: From simple editing to full synthesis
P Johnston, E Elyan
Digital Investigation 29, 67-81, 2019
492019
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
F Abdullakutty, E Elyan, P Johnston
Information fusion 75, 55-69, 2021
442021
Video tampering localisation using features learned from authentic content
P Johnston, E Elyan, C Jayne
Neural computing and applications 32 (16), 12243-12257, 2020
262020
Fusion methods for face presentation attack detection
F Abdullakutty, P Johnston, E Elyan
Sensors 22 (14), 5196, 2022
112022
Deep transfer learning on the aggregated dataset for face presentation attack detection
F Abdullakutty, E Elyan, P Johnston, A Ali-Gombe
Cognitive computation 14 (6), 2223-2233, 2022
92022
Detection of morphological changes caused by chemical stress in the cyanobacterium Planktothrix agardhii using convolutional neural networks
I Carloto, P Johnston, CJ Pestana, LA Lawton
Science of The Total Environment 784, 146956, 2021
62021
Symbols in engineering drawings (SIED): an imbalanced dataset benchmarked by convolutional neural networks
E Elyan, CF Moreno-García, P Johnston
Proceedings of the 21st EANN (Engineering Applications of Neural Networks …, 2020
62020
Spatial effects of video compression on classification in convolutional neural networks
P Johnston, E Elyan, C Jayne
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
52018
Face spoof detection: an experimental framework
F Abdullakutty, E Elyan, P Johnston
International Conference on Engineering Applications of Neural Networks, 293-304, 2021
32021
Toward video tampering exposure: inferring compression parameters from pixels
P Johnston, E Elyan, C Jayne
Engineering Applications of Neural Networks: 19th International Conference …, 2018
22018
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection
F Abdullakutty, E Elyan, P Johnston
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
12023
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks
CF Moreno-García, P Johnston, B Garkuwa
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
12020
Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers
SC Haynes, P Johnston, E Elyan
Multimedia Tools and Applications, 1-20, 2024
2024
Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance
KE Forbes-McKay, PAM Bremner, P Johnston, C Air
Journal of Applied Research in Higher Education, 2023
2023
Student interaction with a virtual learning environment: An empirical study of online engagement behaviours during and since the time of COVID-19
P Johnston, M Zarb, CF Moreno-Garcia
2023 IEEE Frontiers in Education Conference (FIE), 1-8, 2023
2023
Exploring students' independent learning and its relationship to mindset and academic performance.
KE Forbes-McKay, P Bremner, P Johnston
2023
Enhancing our understanding of independent learning amongst RGU students.
K Forbes-McKay, P Bremner, P Johnston
2022
Beyond the pixels: learning and utilising video compression features for localisation of digital tampering.
P Johnston
2019
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Articles 1–19