Valentina Giannini

Corso di laurea magistrale

• Data science in medicina. A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Intelligenza artificiale in medicina. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Data science in medicina. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Clinical informatics. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Classificazione e interpretazione di dati biomedici. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso

Corso di laurea di 1° livello

• Assistenza sanitaria e intelligenza artificiale (Grandi Sfide - Salute). A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso

• Panic, Jovana; Defeudis, Arianna; Vassallo, Lorenzo; Cirillo, Stefano; Gatti, Marco; ... (2025)
  Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting. In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, vol. 35. ISSN 0899-9457
  Contributo su Rivista
• 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
• Zhang, Yanhua; Balestra, Gabriella; Zhang, Ke; Wang, Jingyu; Rosati, Samanta; Giannini, ... (2024)
  MultiTrans: Multi-branch transformer network for medical image segmentation. In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 254. ISSN 0169-2607
  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 (Spain). ISSN 2369-8128
  Contributo in Atti di Convegno (Proceeding)
• Panic, J.; Defeudis, A.; Vassallo, L.; Cirillo, S.; Gatti, M.; Esposito, A.; ... (2024)
  A Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI. In: 10th World Congress on New Technologies, NewTech 2024, Barcelona (Spa), August 25-27, 2024. ISSN 2369-8128
  Contributo in Atti di Convegno (Proceeding)
• 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)
• Panic, J.; Defeudis, A.; Regge, D.; Balestra, G.; Rosati, S.; Giannini, V. (2023)
  Comparison between different approaches for the creation of the training set: how clustering and dimensionality impact the performance of a Deep Learning model. In: 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton (USA), 04-06 December 2023, pp. 393-396. ISBN: 979-8-3503-9311-8
  Contributo in Atti di Convegno (Proceeding)
• Panic, Jovana; Defeudis, Arianna; Balestra, Gabriella; Giannini, Valentina; Rosati, ... (2023)
  Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses. In: IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, vol. 4, pp. 67-76. ISSN 2644-1276
  Contributo su Rivista
• Giannini, Valentina; Panic, Jovana; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta (2023)
  Could normalization improve robustness of abdominal MRI radiomic features?. In: BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, vol. 9. ISSN 2057-1976
  Contributo su Rivista
• 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
• 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)
• 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
• 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)
• 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