Scuola superiore sant'anna

Assistant Professor

Sara Moccia


  • PROFILE
  • PUBLICATIONS
  • RESEARCH

Short bio

2021 - now: Assistant Professor at The BioRobotics Institute and at the Department of Excellence in Robotics & AI of Scuola Superiore Sant'Anna (Pisa, Italy)

2018-2021: Post-doc Researcher at the Department of Information Engineering of Universtià Politecnica delle Marche (Ancona, Italy) with Prof. Emanuele Frontoni

2018-2021: Affiliated Researcher at the Department of Advanced Robotics of Istituto Italiano di Tecnologia (Genoa, Italy) with Dr. Leonardo S. Mattos

2020: Visiting Researcher at the Department of Industrial Electronics of Universidade do Minho (Braga, Portugal) with Prof. Cristina Manuela Peixoto dos Santos

2018: PhD cum laude in Bioengineering at the Department of Advanced Robotics of Istituto Italiano di Tecnologia (Genoa, Italy) with Dr. Leonardo S. Mattos, and the Department of Electronics, Information and Bioengineering of Politecnico di Milano (Milan, Italy) with Prof. Elena De Momi

2016: Visiting PhD student at the Computer Assisted Medical Intervention lab of the German Cancer Research Center (Heidelberg, Germany) with Prof. Lena Maier-Hein

2014: MSc cum laude in Biomedical Engineering at Politecnico di Milano (Milan, Italy) with Prof. Giuseppe Baselli

1990: Born in Bari, Italy

 

Awards

2021: Athanasiou ABME Award for the work "A review on advances in intra-operative imaging for surgery and therapy: Imagining the operating room of the future" published in Annals of Biomedical Engineering

2020: Joint WG e-Cardiology ESC – CinC: Clinical Needs Translational Award (CTA) for the work "A Novel Approach based on Spatio-temporal Features and Random Forest for Scar Detection using Cine Cardiac Magnetic Resonance Images" presented during Computing in Cardiology (CinC 2020)

2018: "Gruppo Nazionale di Bioingegneria & Patron" Award for the best Ph.D. thesis 

2018: Primaga 2018 - Artificial Intelligence applied to the analysis of medical images and videos for the work "Liver-donor steatosis assessment from smartphone images acquired in the OR" presented during the Sixth National Congress of Bioengineering (GNB 2018)

Contributo su Rivista

The mission that drives Sara's research is to improve the quality of healthcare in a data-driven manner. Her research goal is to support physicians throughout the entire process of care, from diagnosis to therapy and follow-up, through artificial intelligence methodologies. 

Sara's research topics include supervised and semi-supervised deep-learning algorithms, including generative models, for the analysis of:

  • Pre- (MRI, CT, US) and intra-operative (RGB, narrow-band and multispectral) images
  • RGB-D images acquired in sensitive spaces (e.g., neonatal intensive care units)
  • Neural signals
  • Electronic health records

​​Google Scholar: https://scholar.google.it/citations?user=Nc4WOQ4AAAAJ&hl=it

Orcid: https://orcid.org/0000-0002-4494-8907

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57192919602

INFO:

The Biorobotics Institute