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Frontiers in Artificial Intelligence|August 22, 2022
COVID-19 diagnosis using deep learning neural networks applied to CT imagesAndronicus A Akinyelu, Pieter BlignautFrontiers in Artificial Intelligence|February 14, 2022
Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile DevicesAndronicus A Akinyelu, Pieter BlignautDiagnostics (Basel, Switzerland)|May 16, 2023
COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural NetworkAndronicus A Akinyelu, Bubacarr BahEnvironmental Monitoring and Assessment|February 24, 2024
Revolutionizing crop disease detection with computational deep learning: a comprehensive reviewHabiba N Ngugi, Absalom E Ezugwu, Andronicus A Akinyelu, et al.Journal of Imaging|July 27, 2022
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A SurveyAndronicus A Akinyelu, Fulvio Zaccagna, James T Grist, et al.Journal of Eye Movement Research|April 8, 2021
Using Smooth Pursuit Calibration for Difficult-to-Calibrate ParticipantsPieter BlignautJournal of Eye Movement Research|April 8, 2021
The Effect of Real-time Headbox Adjustments on Data QualityPieter BlignautAttention, Perception & Psychophysics|May 12, 2009
Fixation identification: the optimum threshold for a dispersion algorithmPieter BlignautJournal of Eye Movement Research|April 8, 2021
A cost function to determine the optimum filter and parameters for stabilising gaze dataPieter BlignautBehavior Research Methods|April 24, 2013
Eye-tracking data quality as affected by ethnicity and experimental designPieter Blignaut, Daniël WiumPageof 2