Projects per year
My main research interest is the detection of abnormalities in biosignals. Processing methods include time-frequency analysis, wavelet analysis, mathematical modelling and various forms of artificial intelligence, including machine learning techniques and neural networks. Applications include electroencephalogram (EEG) signals for binaural hearing research, acceleration photoplethysmogram (APG) and electrocardiogram (ECG) signals for heat stress detection and detection and prediction of breast cancer, cardiovascular disease, otitis media and lung disease using various forms of artificial intelligence.
Current PhD opportunities include detection or prediction of cardiovascular disease, breast cancer, otitis media and lung disease using machine learning techniques. For further information about research activities and facilities, refer to the information of the Biomedical Engineering and Health Informatics Research Group of CDU at https://www.cdu.edu.au/engineering-it-environment/engineering/research/biomedical-engineering.
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Collaborations and top research areas from the last five years
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2021 Rainmaker Start-up: Application of AR (Augmented Reality) and VR (Virtual Reality) techniques in construction training in remote communities
6/08/21 → 31/12/22
De Boer, F., Carthew, S. & Young, D.
25/06/12 → 31/07/23
1/07/22 → 31/12/23
A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation TimeKhan, I. U., Raiaan, M. A. K., Fatema, K., Azam, S., Rashid, R. U., Mukta, S. H., Jonkman, M. & De Boer, F., Jun 2023, In: Biomedicines. 11, 6, p. 1-27 27 p., 1566.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile8 Downloads (Pure)
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy ImagesRaiaan, M. A. K., Fatema, K., Khan, I. U., Azam, S., Rashid, M. R. U., Mukta, M. S. H., Jonkman, M. & De Boer, F., 2023, In: IEEE Access. 11, p. 42361-42388 28 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile32 Downloads (Pure)
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance ImagesShamrat, F. M. J. M., Akter, S., Azam, S., Karim, A., Ghosh, P., Tasnim, Z., Hasib, K. M., De Boer, F. & Ahmed, K., 2023, In: IEEE Access. 11, p. 16376-16395 20 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile33 Downloads (Pure)
An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot StudyAzam, S., Montaha, S., Rafid, A. K. M. R. H., Karim, A., Jonkman, M., De Boer, F., McCallum, G., Masters, I. B. & Chang, A., Jul 2023, In: Biomedicines. 11, 7, p. 1-26 26 p., 1874.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile6 Downloads (Pure)
Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung DiseasesAzam, S., Rakibul Haque Rafid, A. K. M., Montaha, S., Karim, A., Jonkman, M. & De Boer, F., 5 Jan 2023, In: Biomedicines. 11, 1, p. 1-30 30 p., 133.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile30 Downloads (Pure)