Giulia Nicoletti

Dottoranda in Bioingegneria E Scienze Medico-chirurgiche , 37^o ciclo (2021-2024)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Borsista (BE)
Studenti, Didattica e Internazionalizzazione (STUDI)

Docente esterno e/o collaboratore didattico
Dipartimento di Elettronica e Telecomunicazioni (DET)

giulia.nicoletti@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Radio-pathomics for personalized chemotherapy treatment

Tutori

Interessi di ricerca

Computer Science

ICT and smart sensors for eHealth

Biomedical signal and image processing

Biografia

Giulia Nicoletti was born in Palermo, Italy. In December 2020 she received her Master’s Degree in Biomedical Engineering from Politecnico di Torino, Italy, with the thesis “Characterization of prostate cancer aggressiveness based on bi-parametric MRI”. From October 2020 to December 2020 she worked as a Researcher at the Department of Radiology of Candiolo Cancer Institute, FPO-IRCCS, Italy. Then, from January 2021 to October 2021, she worked as a Researcher under grant at the Department of Surgical Science of the University of Turin, Italy. Currently, she is a Ph.D. student in Bioengineering and Medical-Surgical Sciences at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Specifically, her research is mainly focused on tumor characterization using Artificial Intelligence techniques and a Multiomics approach, i.e., combining radiological, histopathological, and clinical data.

Didattica

Insegnamenti

Corso di laurea magistrale

Intelligenza artificiale in medicina. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
Intelligenza artificiale in medicina. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso

Pubblicazioni

Coautori PoliTO

Pubblicazioni degli ultimi anni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, ... (2023)
Virtual biopsy in abdominal pathology: where do we stand?. In: BJR|OPEN, vol. 5. ISSN 2513-9878
Contributo su Rivista
Giannini, V.; Pusceddu, L.; Defeudis, A.; Nicoletti, G.; Cappello, G.; Mazzetti, S.; ... (2022)
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases. In: CANCERS, vol. 14. ISSN 2072-6694
Contributo su Rivista
Nicoletti, Giulia; Barra, Davide; Defeudis, Arianna; Mazzetti, Simone; Gatti, Marco; ... (2021)
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Mexico, 1-5 Nov. 2021, pp. 3374-3377. ISSN 2694-0604. ISBN: 978-1-7281-1179-7
Contributo in Atti di Convegno (Proceeding)
Defeudis, A; Cefaloni, L; Giannetto, G; Cappello, G; Rizzetto, F; Panic, J; Barra, D; ... (2021)
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Mexico, 1-5 Nov. 2021, pp. 3305-3308. ISSN 2694-0604. ISBN: 978-1-7281-1179-7
Contributo in Atti di Convegno (Proceeding)
Barra, D; Nicoletti, G; Defeudis, A; Mazzetti, S; Panic, J; Gatti, M; Faletti, R; Russo, ... (2021)
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 1-5 Nov. 2021, pp. 3370-3373. ISSN 2694-0604. ISBN: 978-1-7281-1179-7
Contributo in Atti di Convegno (Proceeding)