doi.bio/ottavia_bertolli

Ottavia Bertolli

Ottavia Bertolli is a researcher and PhD student at University College London, UK. Her skills and areas of expertise include medical imaging physics and medical image analysis.

Biography

Bertolli has a volunteer experience with The Stuart Low Trust, where she helped with food preparation. She has also received the SNMMI 2018 International Best Abstract Award (United Kingdom) for the best scientific abstract submitted from any UK institution to the annual meeting of the Society of Nuclear Medicine and Molecular Imaging. The title of her abstract was "Evaluation of data-driven respiratory gating in PET with PCA".

Publications

• Prediction of mechanistic subtypes of Parkinson's using patient-derived stem cell models (2023)
• Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map (2016)

Affiliations

Bertolli is currently affiliated with University College London and has previously been associated with the following institutions:

• Weill Cornell Medical College
• University of Washington Seattle
• University of Münster
• The University of Edinburgh
• Azienda Ospedaliero Universitaria Careggi
• Physikalisch-Technische Bundesanstalt
• Mayo Foundation for Medical Education and Research
• King's College London
• Imperial College London
• University College London, National Amyloidosis Centre
• IDS GeoRadar Srl, Italy
• Centre for Medical Image Computing
• Division of Clinical Neurosciences
• Nuclear Medicine & Molecular Imaging
• Department of Physics "E.Fermi"
• Institute of Infection, Veterinary and Ecological Sciences
• Division of Healthcare Technology

- Department of Radiology

Ottavia Bertolli

Ottavia Bertolli is a researcher and PhD student at University College London, UK. Her research interests include medical imaging physics, medical image analysis, and machine learning.

Education

Bertolli studied at the Liceo Scientifico G. Galilei from September 2002 to July 2007. She then went on to pursue a PhD in medical imaging, likely from University College London, although the source does not explicitly state this.

Career and Research

Bertolli has been working at Faculty, a UK-based company, since 2018. She also has volunteer experience at The Stuart Low Trust from 2016 to 2017.

Bertolli has co-authored several research papers, including:

• "Prediction of mechanistic subtypes of Parkinson's using patient-derived stem cell models" (2023)
• "Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map" (2016)

Awards and Recognition

Bertolli has received the following awards:

• SNMMI 2018 International Best Abstract Award (UK) for the abstract titled "Evaluation of data-driven respiratory gating in PET with PCA"

- PhD Seminar Oral Prize

Ottavia Bertolli

Ottavia Bertolli is a researcher and PhD student at University College London, UK. Her skills and areas of expertise include medical imaging physics and medical image analysis.

Biography

Bertolli has a volunteer experience with The Stuart Low Trust, where she helped with food preparation. She has also received the SNMMI 2018 International Best Abstract Award (UK) and the PhD Seminar Oral Prize for her abstract titled "Evaluation of data-driven respiratory gating in PET with PCA".

Publications

Bertolli's notable publications include:

• "Prediction of mechanistic subtypes of Parkinson's using patient-derived stem cell models" (2023)
• "Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map" (2016)

Affiliations

Bertolli is currently affiliated with University College London and has previously been associated with the following institutions:

• Weill Cornell Medical College
• University of Washington Seattle
• University of Münster
• The University of Edinburgh
• Azienda Ospedaliero Universitaria Careggi
• Physikalisch-Technische Bundesanstalt
• Mayo Foundation for Medical Education and Research
• King's College London
• Imperial College London
• University College London, National Amyloidosis Centre
• IDS GeoRadar Srl, Italy
• Centre for Medical Image Computing
• Division of Clinical Neurosciences
• Nuclear Medicine & Molecular Imaging
• Department of Physics "E.Fermi"
• Institute of Infection, Veterinary and Ecological Sciences
• Division of Healthcare Technology
• Department of Radiology