Statistical characteristics of finger-tapping data in Huntington's disease. - Chrystalina A. Antoniades; Jan Ober; Stephen Hicks; Gill Siuda; R. H. S. Carpenter; Christopher Kennard; Andrea H. Nemeth (Medical Biol. Eng. Comput., 2012)

Reading Handwritten Scripts: Investigating the Human Visual System for Artificial Intelligence in Palaeography. - Ségolène Marie Tarte; Mihaela Duta; Chrystalina Antoniades (DH, 2017)

Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward. - Friederike Leimbach; Dejan Georgiev; Vladimir Litvak; Chrystalina Antoniades; Patricia Limousin; Marjan Jahanshahi; Rafal Bogacz (J. Cogn. Neurosci., 2018)

Oculomotor deficits in Parkinson's disease: Increasing sensitivity using multivariate approaches. - Oliver Bredemeyer; Salil B. Patel; James J. Fitzgerald; Chrystalina A. Antoniades (Frontiers Digit. Health, 2022)

2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks. - Salil B. Patel; Vicky Goh; James F. FitzGerald; Chrystalina A. Antoniades (CoRR, 2024)

A novel machine learning based framework for developing composite digital biomarkers of disease progression. - Song Zhai; Andy Liaw; Judong Shen; Yuting Xu; Vladimir Svetnik; James J. Fitzgerald; Chrystalina A. Antoniades; Dan Holder; Marissa F. Dockendorf; Jie Ren; Richard Baumgartner (Frontiers Digit. Health, 2024)

Predicting future fallers in Parkinson's disease using kinematic data over a period of 5 years. - Charalampos Sotirakis; Maksymilian A. Brzezicki; Salil B. Patel; Niall Conway; James J. Fitzgerald; Chrystalina A. Antoniades (npj Digit. Medicine, 2024)