3. Pietro Astolfi

Pietro Astolfi

PhD Student
PhD student

Research Lines

Pattern Analysis and Computer Vision

Center

IIT Central Research Labs Genova

About

Pietro Astolfi received the MSc in computer science and engineering from Politecnico di Milano, Italy. His main research interests are Machine Learning and Deep Learning, indeed he is currently pursuing a PhD in ML applied to neuroimaging at the Bruno Kessler Foundation (Trento) jointly with Istituto Italiano di Tecnologia (Genova).

IIT Publications

  • 2021
  • Berto G., Bullock D., Astolfi P.iit, Hayashi S., Zigiotto L., Annicchiarico L., Corsini F., De Benedictis A., Sarubbo S., Pestilli F., Avesani P., Olivetti E.
    DOI

    Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

    NeuroImage, vol. 224
  • 2020
  • Astolfi P.iit, De Benedictis A., Sarubbo S., Berto G., Olivetti E., Sona D.iit, Avesani P.
    DOI

    A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model

    Proceedings - International Symposium on Biomedical Imaging, vol. 2020-April, pp. 267-270
  • Svoboda J., Astolfi P.iit, Boscaini D., Masci J., Bronstein M.
    DOI

    Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition

    IJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics
  • Olivetti E., Gori P., Astolfi P.iit, Berto G., Avesani P.

    Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem

    9th International Workshop on Biomedical Image Registration
  • Astolfi P.iit, Verhagen R., Petit L., Olivetti E., Masci J., Boscaini D., Avesani P.
    DOI

    Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning

    Lecture Notes in Computer Science, vol. 12267 LNCS, pp. 291-301
  • 2018
  • Roure F., Moreno G., Soler M., Faconti D., Serrano D., Astolfi P., Bardaro G., Gabrielli A., Bascetta L., Matteucci M.
    DOI

    GRAPE: Ground robot for vineyard monitoring and protection

    Advances in Intelligent Systems and Computing, vol. 693, pp. 249-260