Malcolm K. Horne

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 6

Top Topics

Quantitative Measures

Machine Learning

Disease Progression

Top Venues

IEEE J. Biomed. Health Informatics

IEEE Trans. Biomed. Eng.

Publications

Thang Ngo, Pubudu N. Pathirana, Malcolm K. Horne, Louise A. Corben, Ian H. Harding, David J. Szmulewicz
Technological Evolution in the Instrumentation of Ataxia Severity Measurement. IEEE Access 11 (2023)
Sahan Dissanayake, Ragil Krishna, Pubudu N. Pathirana, Malcolm K. Horne, David J. Szmulewicz, Louise A. Corben
A Bayesian Network Approach for Friedreich Ataxia Severity Classification using Probability Modelling. EMBC (2023)
Ragil Krishna, Pubudu N. Pathirana, Malcolm K. Horne, Louise A. Corben, David J. Szmulewicz
Quantitative Assessment of Friedreich Ataxia via Self-Drinking Activity. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Thang Ngo, Pubudu N. Pathirana, Malcolm K. Horne, Laura Power, David J. Szmulewicz, Sarah C. Milne, Louise A. Corben, Melissa Roberts, Martin B. Delatycki
Balance Deficits due to Cerebellar Ataxia: A Machine Learning and Cloud-Based Approach. IEEE Trans. Biomed. Eng. 68 (5) (2021)
Khoa D. Nguyen, Louise A. Corben, Pubudu N. Pathirana, Malcolm K. Horne, Martin B. Delatycki, David J. Szmulewicz
Assessment of Disease Progression in Friedreich Ataxia using an Instrumented Self Feeding Activity. EMBC (2020)
Khoa D. Nguyen, Louise A. Corben, Pubudu N. Pathirana, Malcolm K. Horne, Martin B. Delatycki, David J. Szmulewicz
An Instrumented Measurement Scheme for the Assessment of Upper Limb Function in Individuals with Friedreich Ataxia. EMBC (2019)
Ken Matsuda, Hong X. Wang, Chao Suo, David McCombe, Malcolm K. Horne, Wayne A. Morrison, Gary F. Egan
Retrograde axonal tracing using manganese enhanced magnetic resonance imaging. NeuroImage 50 (2) (2010)