Master of Science

• Clinical informatics. A.A. 2018/19, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Clinical informatics. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Classificazione e interpretazione di dati biomedici. A.A. 2017/18, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Classificazione e interpretazione di dati biomedici. A.A. 2018/19, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Classificazione e interpretazione di dati biomedici. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso

• Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, ... (2022)
  MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study. In: EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280
  Contributo su Rivista
• Defeudis, Arianna; Panic, Jovana; Guzzinati, Walter; Pusceddu, Laura; Vassallo, Lorenzo; ... (2022)
  A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy. In: 17th IEEE International Symposium on Medical Measurements and Applications (IEEE MeMeA 2022), Giardini Naxos - Taormina, Messina (Italy), 22 June - 24 June 2022, pp. 1-5
  Contributo in Atti di Convegno (Proceeding)
• Salvi, Massimo; DE SANTI, Bruno; Pop, Bianca; Bosco, Martino; Giannini, Valentina; ... (2022)
  Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. In: JOURNAL OF IMAGING, vol. 8. ISSN 2313-433X
  Contributo su Rivista
• Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, ... (2022)
  A fully automatic deep learning algorithm to segment Rectal Cancer on MR images: a multi-center study. In: 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), Glasgow, United Kingdom, 11-15 July, 2022, pp. 5066-5069
  Contributo in Atti di Convegno (Proceeding)
• Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, ... (2022)
  Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images. In: 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Giardini Naxos - Taormina, Italy, 22-24 June, 2022, pp. 1-6
  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
• Russo, Filippo; Mazzetti, Simone; Regge, Daniele; Ambrosini, Ilaria; Giannini, ... (2021)
  EditorialReply to Anwar R. Padhani, Ivo G. Schoots, Jelle O. Barentsz. Fast Magnetic Resonance Imaging as a Viable Method for Directing the Prostate Cancer Diagnostic Pathway. Eur Urol Oncol 2021;4:863-5 Fast-MRI Feasibility in Biopsy-naive Patients: Clarifications on the Study Methods and Results. In: EUROPEAN UROLOGY ONCOLOGY, vol. 4, pp. 866-867. ISSN 2588-9311
  Contributo su Rivista
• Russo, F.; Mazzetti, S.; Regge, D.; Ambrosini, I.; Giannini, V.; Manfredi, M.; De Luca, ... (2021)
  Diagnostic Accuracy of Single-plane Biparametric and Multiparametric Magnetic Resonance Imaging in Prostate Cancer: A Randomized Noninferiority Trial in Biopsy-naïve Men. In: EUROPEAN UROLOGY ONCOLOGY, vol. 4, pp. 855-862. ISSN 2588-9311
  Contributo su Rivista
• 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)
• 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)
• Coppola, Francesca; Giannini, Valentina; Gabelloni, Michela; Panic, Jovana; Defeudis, ... (2021)
  Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice. In: DIAGNOSTICS, vol. 11. ISSN 2075-4418
  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)
• De Santi, B.; Salvi, M.; Giannini, V.; Meiburger, K. M.; Marzola, F.; Russo, F.; Bosco, ... (2020)
  Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. In: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, can, 2020, pp. 1671-1674. ISSN 1557-170X. ISBN: 978-1-7281-1990-8
  Contributo in Atti di Convegno (Proceeding)
• Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, ... (2020)
  A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020, pp. 1675-1678. ISSN 1558-4615. ISBN: 978-1-7281-1990-8
  Contributo in Atti di Convegno (Proceeding)
• Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, ... (2020)
  An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020, pp. 1339-1342. ISSN 1558-4615. ISBN: 978-1-7281-1990-8
  Contributo in Atti di Convegno (Proceeding)
• Giannini, V.; Defeudis, A.; Rosati, S.; Cappello, G.; Vassallo, L.; Mazzetti, S.; Panic, ... (2020)
  Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy. In: 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020, Bari (Italy), 1 June-1 July 2020, pp. 1-5. ISBN: 978-1-7281-5386-5
  Contributo in Atti di Convegno (Proceeding)
• Giannini, V.; Rosati, S.; Defeudis, A.; Balestra, G.; Vassallo, L.; Cappello, G.; ... (2020)
  Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy. In: INTERNATIONAL JOURNAL OF CANCER, vol. 147, pp. 3215-3223. ISSN 0020-7136
  Contributo su Rivista