Michele Piana

Introducing Michele Piana

Michele Piana is a Professor in Numerical Analysis at Università di Genova, a researcher at Ospedale San Martino Genova, and a Principal Investigator at the MIDA Group and LISCOMP Lab. His background is in Physics, with a PhD obtained from Università di Genova. His research spans diverse domains, encompassing inverse problems, machine learning, and computational data analysis. Additionally, he is engaged in research related to medical imaging, computational neuroscience, and biology. Furthermore, his expertise extends to solar physics and space weather. He serves as Principal Investigator and work package leader in several national and international research projects.

Michele Piana
Professor Numerical Analysis

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Key Publications
  • Sommariva S, Berra S, Biddau G, Caviglia G, Benvenuto F and Piana M 2023 In-silico modelling of the mitogen-activated protein kinase (MAPK) pathway in colorectal cancer: mutations and targeted therapy, Frontiers in Systems Biology, 3 2023

  • Vallarino E, Sommariva S, Famà F, Piana M, Nobili F, Arnaldi D 2022 Transfreq: A Python package for computing the theta‐to‐alpha transition frequency from resting state electroencephalographic data Human Brain Mapping 43 (17), 5095-5110

  • Daniela Schenone, Alida Dominietto, Cristina Campi, Francesco Frassoni, Michele Cea, Sara Aquino, Emanuele Angelucci, Federica Rossi, Lorenzo Torri, Bianca Bignotti, Alberto Stefano Tagliafico, Michele Piana 2021 Radiomics and artificial intelligence for outcome prediction in multiple myeloma patients undergoing autologous transplantation: A feasibility study with ct data Diagnostics 11 1759

  • Matteo Bauckneht, Rita Lai, Alberto Miceli, Daniela Schenone, Vanessa Cossu, Maria Isabella Donegani, Stefano Raffa, Anna Borra, Stefano Marra, Cristina Campi, Annamaria Orengo, Anna Maria Massone, Alberto Tagliafico, Claudia Caponnetto, Corrado Cabona, Angelina Cistaro, Adriano Chiò, Silvia Morbelli, Flavio Nobili, Gianmario Sambuceti, Michele Piana, Cecilia Marini 2020 Spinal cord hypermetabolism extends to skeletal muscle in amyotrophic lateral sclerosis: a computational approach to [18F]-fluorodeoxyglucose PET/CT images EJNMMI research 10 23

  • Sara Sommariva, Alberto Sorrentino, Michele Piana, Vittorio Pizzella, Laura Marzetti 2019 A comparative study of the robustness of frequency-domain connectivity measures to finite data length Brain topography 32 675