Parkinson's disease tremor-related metabolic network: Characterization, progression, and treatment effects. - Hideo Mure; Shigeki Hirano; Chris C. Tang; Ioannis U. Isaias; Angelo Antonini; Yilong Ma; Vijay Dhawan; David Eidelberg (NeuroImage, 2011)

Monitoring of motor and non-motor symptoms of Parkinson's disease through a mHealth platform. - Jorge Cancela; Samanta Villanueva Mascato; Dimitrios A. Gatsios; George Rigas 001; Andrea Marcante; Giovanni Gentile; Roberta Biundo; Manuela Giglio; Maria Chondrogiorgi; Robert Vilzmann; Spiros Konitsiotis; Angelo Antonini; et al. (EMBC, 2016)

Tremor UPDRS estimation in home environment. - George Rigas 001; Dimitris Gatsios; Dimitrios I. Fotiadis; Maria Chondrogiorgi; Christos Tsironis; Spyridon Konitsiotis; Giovanni Gentile; Andrea Marcante; Angelo Antonini (EMBC, 2016)

Mining motor symptoms UPDRS data of Parkinson's disease patients for the development of Hoehn and Yahr estimation decision support system. - Kostas M. Tsiouris; Georgios Rigas 001; Angelo Antonini; Dimitris Gatsios; Spiros Konitsiotis; Dimitrios D. Koutsouris; Dimitrios I. Fotiadis (BHI, 2017)

Predicting rapid progression of Parkinson's Disease at baseline patients evaluation. - Kostas M. Tsiouris; Georgios Rigas 001; Dimitrios A. Gatsios; Angelo Antonini; Spiros Konitsiotis; Dimitrios D. Koutsouris; Dimitrios I. Fotiadis (EMBC, 2017)

A decision support system based on rapid progression rules to enhance baseline evaluation of Parkinson's disease patients. - Kostas M. Tsiouris; Dimitrios A. Gatsios; Georgios Rigas 001; Spiros Konitsiotis; Angelo Antonini; Dimitrios I. Fotiadis (BHI, 2018)

A decision support system for Parkinson disease management: expert models for suggesting medication change. - Marko Bohanec; Dragana Miljkovic; Anita Valmarska; Biljana Mileva-Boshkoska; Elisabetta Gasparoli; Giovanni Gentile; Konstantinos Koutsikos; Andrea Marcante; Angelo Antonini; Dimitrios A. Gatsios; George Rigas 001; Dimitrios I. Fotiadis; et al. (J. Decis. Syst., 2018)

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (CoRR, 2019)

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (Medical Image Anal., 2020)

Fractal Analysis of Lower Back Acceleration Profiles in balance tasks. - Roberto Di Marco; Maria Rubega; Angelo Antonini; Emanuela Formaggio; Stefano Masiero; Alessandra Del Felice (EMBC, 2021)

Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson's Disease. - Andrea Marcante; Roberto Di Marco; Giovanni Gentile; Clelia Pellicano; Francesca Assogna; Francesco Ernesto Pontieri; Gianfranco Spalletta; Lucia Macchiusi; Dimitris Gatsios; Alexandros Giannakis; Maria Chondrogiorgi; Spyridon Konitsiotis; et al. (Sensors, 2021)

A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study. - Petter Minne; Alvaro Fernandez-Quilez; Dag Aarsland; Daniel Ferreira 003; Eric Westman; Afina W. Lemstra; Mara Ten Kate; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Flavio Nobili; Milica G. Kramberger; et al. (Computer-Aided Diagnosis, 2022)

Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson's Disease: What Did We Learn? - Mariana H. G. Monje; Sylvie Grosjean; Martin Srp; Laura Antunes; Raquel Bouça-Machado; Ricardo Cacho; Sergio Domínguez; John Inocentes; Timothy Lynch; Argyri Tsakanika; Dimitrios I. Fotiadis; George Rigas 001; et al. (Sensors, 2023)