Radio-pathomics for personalized chemotherapy treatment

Corso di laurea magistrale

• Intelligenza artificiale in medicina. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso

• Nicoletti, Giulia (2025)
  Multimodal Machine Learning for mCRC: Designing a Radiopathomics Pipeline for Therapy Response Prediction. relatore: ROSATI, SAMANTA; BALESTRA, GABRIELLA; , 37. XXXVII Ciclo, P.: 138
  Doctoral Thesis
• Nicoletti, Giulia; Mazzetti, Simone; Maimone, Giovanni; Cignini, Valentina; Cuocolo, ... (2024)
  Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI. In: CANCERS, vol. 16. ISSN 2072-6694
  Contributo su Rivista
• Mazzetti, Simone; Defeudis, Arianna; Nicoletti, Giulia; Chiorino, Giovanna; De Luca, ... (2024)
  Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer. In: EUROPEAN RADIOLOGY. ISSN 1432-1084
  Contributo su Rivista
• Nicoletti, G.; Cafaro, D.; Giannini, V.; Mauri, G.; Marchio, C.; Lazzari, L.; ... (2024)
  Development and validation of an AI-based pathomics biomarker to predict response to first-line treatment in metastatic colorectal cancers. In: 10th International Conference on Bioengineering and Biotechnology (ICBB 2024), Barcelona (Spa), August 25-27 2024. ISSN 2369-8128
  Contributo in Atti di Convegno (Proceeding)
• 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
• Nicoletti, Giulia; Marchiò, Caterina; Rosati, Samanta; Berrino, Enrico; Aquilano, Maria ... (2023)
  How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology. In: 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton (USA), 04-06 December 2023, pp. 333-337. ISBN: 979-8-3503-9311-8
  Contributo in Atti di Convegno (Proceeding)
• 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)