Rivolta Massimo Walter

Ricercatore a Tempo Determinato (B)
Settore scientifico-disciplinare
INFO-01/A - Informatica
Gruppo scientifico-disciplinare / settore concorsuale
01/INFO-01 - INFORMATICA

Contacts

Sede di lavoro

Via Celoria, 18

Numero di telefono dell'ufficio
02503 16347
E-mail di ateneo
Office hours
Su appuntamento (via email)
Luogo di ricevimento
Stanza 6021
Research

Publications

  • Visiting a loved one in the ICU with the aid of dedicated booklets is associated with reduced separation anxiety in children and adolescents / G. Lamiani, F. Bonazza, M. Maxia, M.W. Rivolta, G. Mistraletti, E. Vegni. - In: CHILD AND ADOLESCENT PSYCHIATRY AND MENTAL HEALTH. - ISSN 1753-2000. - 2025:19(2025 Jun 06). [Epub ahead of print] [10.1186/s13034-025-00906-4]
  • Adversarial Multitask Learning Reduces the Correlation between Age and Deep Learning Predictions of Myocardial Infarction from Electrocardiograms / S. Ibrahimi, M.W. Rivolta, R. Sassi - In: Computing in Cardiology[s.l] : IEEE, 2024. - pp. 1-4 (( convegno CINC tenutosi a Karlsruhe nel 2024 [10.22489/cinc.2024.451].
  • Evaluating the Quality of CycleGAN Generated ECG Data for Myocardial Infarction Classification / S. Battiston, R. Sassi, M.W. Rivolta - In: Computing in Cardiology[s.l] : IEEE, 2024. - pp. 1-4 (( Intervento presentato al 51. convegno International Computing in Cardiology conference tenutosi a Karlsruhe nel 2024 [10.22489/cinc.2024.457].
  • Centrality Measures from Directed Network Mapping Identify Reentries Suggesting Different Mechanisms of Atrial Flutter / D. Coluzzi, M.W. Rivolta, M. Mancini, L. Anna Unger, A. Luik, A. Loewe, R. Sassi - In: Computing in Cardiology[s.l] : IEEE, 2024. - pp. 1-4 (( Intervento presentato al 51. convegno International Computing in Cardiology tenutosi a Karlsruhe nel 2024 [10.22489/cinc.2024.306].
  • Evidential Deep Learning Model for Atrial Fibrillation Detection from Holter Recordings / M. Moklesur Rahman, M.W. Rivolta, P. Maison Blanche, F. Badilini, R. Sassi - In: Computing in Cardiology[s.l] : IEEE, 2024. - pp. 1-4 (( Intervento presentato al 51. convegno Computing in Cardiology tenutosi a Karlsruhe nel 2024 [10.22489/cinc.2024.384].