Projects per year
Personal profile
Research interests
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 and kidney disease using various forms of artificial intelligence.
Current PhD opportunities include quantification of binaural hearing using EEG signals and detection or prediction of cardiovascular disease, breast cancer and kidney 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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2021 Rainmaker Start-up: Application of AR (Augmented Reality) and VR (Virtual Reality) techniques in construction training in remote communities
Rajabipour, A., Kutay, C., Ford, L., De Boer, F., Fudge, M., Russell, J., Gallagher, C. & Hromek, M.
6/08/21 → 31/12/22
Project: Research
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Chair in Sustainable Engineering at Charles Darwin University
De Boer, F., Carthew, S. & Young, D.
25/06/12 → 31/07/23
Project: Research
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Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases
Azam, 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.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images
Javed Mehedi Shamrat, F. M., Azam, S., Karim, A., Islam, R., Tasnim, Z., Ghosh, P. & De Boer, F., May 2022, In: Journal of Personalized Medicine. 12, 5, p. 1-29 29 p., 680.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification
Ilyas, T., Mannan, Z. I., Khan, A., Azam, S., Kim, H. & De Boer, F., Jul 2022, In: Neural Networks. 151, p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile21 Downloads (Pure) -
A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction
Antony, L., Azam, S., Ignatious, E., Quadir, R., Beeravolu, A. R., Jonkman, M. & De Boer, F., 2021, In: IEEE Access. 9, p. 126481-126501 21 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile65 Downloads (Pure) -
BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images
Montaha, S., Azam, S., Rakibul Haque Rafid, A. K. M., Ghosh, P., Hasan, M. Z., Jonkman, M. & De Boer, F., Dec 2021, In: Biology. 10, 12, p. 1-44 44 p., 1347.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure)