InvitedTalkUpulSenanayake

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Invited Talk Upul Senanayake: Diagnosis of Mild Cognitive Impairment (MCI)

Upul

Upul Senanayake
Diagnosis of Mild Cognitive Impairment
PhD? Scholar at UNSW Australia

  • Date: Monday, March 6, 2017
  • Time: 14:00 - 15:00
  • Location: CAMP Seminar room, 03.13.010, Boltzmannstr. 3

Abstract: This talk summarises the work carried out by Upul Senanayake during his PhD? candidature at the University of New South Wales, Sydney, Australia. Diagnosis of Mild Cognitive Impairment (MCI), which is a prodromal condition to Dementia, is considered to be an active research area as it holds a high prognosticative value in predicting an individual's progression to Dementia. In this talk, multiple modalities of data is explored and leveraged to improve such predictive efforts including patient data, neuropsychological test scores and multiple imaging modalities such as MRI and PET. A range of machine learning and image processing techniques are used for this purpose. Problems of interest include extracting meaningful data from multiple modalities of data, fusion between multiple modalities of data, leveraging the inherent characteristics of data to improve the performance and visualising the predictive efforts in a meaningful manner for the medical professionals.

Bio: Upul is a PhD? candidate at University of New South Wales working in the medical imaging and machine learning group under the guidance of Professor Arcot Sowmya. He has a Masters degree from University of Sydney in Complex Systems. His interests span from machine learning to complex systems and he is fond of interdisciplinary research. He recently started working at Westpac, the oldest bank in Australia, as a Data Scientist and is excited about it. He usually enjoys travelling, photography and is an avid enthusiast about drones.

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Title: Invited Talk Upul Senanayake, USWA, Diagnosis of Mild Cognitive Impairment (MCI)
Date: 6 March 2017
Location: CAMP Seminar room, 03.13.010, Boltzmannstr. 3
Abstract: This talk summarises the work carried out by Upul Senanayake during his PhD? candidature at the University of New South Wales Sydney, Australia. Diagnosis of Mild Cognitive Impairment (MCI), which is a prodromal condition to Dementia, is considered to be an active research area as it holds a high prognosticative value in predicting an individual's progression to Dementia. In this talk, multiple modalities of data is explored and leveraged to improve such predictive efforts including patient data, neuropsychological test scores and multiple imaging modalities such as MRI and PET. A range of machine learning and image processing techniques are used for this purpose. Problems of interest include extracting meaningful data from multiple modalities of data, fusion between multiple modalities of data, leveraging the inherent characteristics of data to improve the performance and visualising the predictive efforts in a meaningful manner for the medical professionals.
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Type: News
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