Angelo Antonini

According to our database, Angelo Antonini authored at least 13 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Evzen Ruzicka, Joaquim Ferreira, Angelo Antonini, Norberto Malpica, Tiago Mestre, Álvaro Sánchez-Ferro, iCARE-PD Consortium

Sensors, 2023

2022

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, Eric Westman, Afina W. Lemstra, Mara Ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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, Dimitrios I. Fotiadis, Angelo Antonini

Sensors, 2021

Fractal Analysis of Lower Back Acceleration Profiles in balance tasks.

Roberto Di Marco, Maria Rubega, Angelo Antonini, Emanuela Formaggio, Stefano Masiero, Alessandra Del Felice

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Eric Westman

Medical Image Anal., 2020

2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman

CoRR, 2019

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, Dimitrios I. Fotiadis, Kostas M. Tsiouris, Spiros Konitsiotis

J. Decis. Syst., 2018

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, Spiros Konitsiotis, Angelo Antonini, Dimitrios I. Fotiadis

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Predicting rapid progression of Parkinson's Disease at baseline patients evaluation.

Kostas M. Tsiouris, Georgios Rigas, Dimitrios A. Gatsios, Angelo Antonini, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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, Angelo Antonini, Dimitris Gatsios, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Tremor UPDRS estimation in home environment.

George Rigas, Dimitris Gatsios, Dimitrios I. Fotiadis, Maria Chondrogiorgi, Christos Tsironis, Spyridon Konitsiotis, Giovanni Gentile, Andrea Marcante, Angelo Antonini

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spiros Konitsiotis, Angelo Antonini, María Teresa Arredondo, Dimitrios I. Fotiadis

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2011

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