Personal profile
Qualifications
PhD Computer Science, MSc Cognitive Neuroscience, BA (Hons) Liberal Arts & Sciences
Research Interests
Computer Science
Neuroscience
Neurology
Signal Processing
Research student supervision
- Registered to supervise
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Dive into the research topics where Robin Vlieger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Early diabetic eye damage: Comparing detection methods using diagnostic power
Rai, B. B., van Kleef, J. P., Sabeti, F., Vlieger, R., Suominen, H. & Maddess, T., 1 Jan 2024, In: Survey of Ophthalmology. 69, 1, p. 24-33 10 p.Research output: Contribution to journal › Review article › peer-review
11 Citations (Scopus) -
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's Disease
Vlieger, R., Daskalaki, E., Apthorp, D., Lueck, C. J. & Suominen, H., 25 Jan 2024, MEDINFO 2023 - The Future is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics. Bichel-Findlay, J., Otero, P., Scott, P. & Huesing, E. (eds.). IOS Press BV, p. 1480-1481 2 p. (Studies in Health Technology and Informatics; vol. 310).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
Open Access3 Citations (Scopus) -
Explaining predictors of discharge destination assessed along the patients’ acute stroke journey
Lensky, A., Lueck, C., Suominen, H., Jones, B., Vlieger, R. & Ahluwalia, T., Feb 2024, In: Journal of Stroke and Cerebrovascular Diseases. 33, 2, 107514.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Improving methods of diagnosis and prognostication in neurodegenerative diseases through electroencephalography analysis and machine learning
Vlieger, R., 7 Apr 2024, Australian National University . 182 p.Research output: Thesis › Doctoral thesis
Open Access -
Optimising Personalised Medical Insights by Introducing a Scalable Health Informatics Application for Sensor Data Extraction, Preprocessing, and Analysis
Hettiarachchi, C., Vlieger, R., Ge, W., Apthorp, D., Daskalaki, E., Üstle, A. B. R. & Suominen, H., 24 Sept 2024, Health. Innovation. Community: It Starts With Us - Papers from the 28th Australian Digital Health and Health Informatics Conference, HIC 2024. Bichel-Findlay, J. (ed.). IOS Press BV, p. 138-143 6 p. (Studies in Health Technology and Informatics; vol. 318).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
Open Access1 Citation (Scopus)