Artificial Intelligence, Rectal Cancer, Oncological MRI, Radiomics, Deep Learning

Corso di laurea magistrale

• 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

Corso di laurea di 1° livello

• Fondamenti di biologia, anatomia e fisiologia. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Fondamenti di biologia, anatomia e fisiologia. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Fondamenti di biologia, anatomia e fisiologia. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso

• 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)
• Panic, Jovana (2024)
  How to Design, Implement, and Validate MRI-based Artificial Intelligence Systems for Oncological applications. relatore: BALESTRA, GABRIELLA; ROSATI, SAMANTA; , 36. XXXVI Ciclo, P.: 147
  Doctoral Thesis
• 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
• 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)
• 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, 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; 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
• 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)
• 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, 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)
• 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
• Rosati, S.; Franco, P.; Fiandra, C.; Arcadipane, F.; Silvetti, P.; Gallio, E.; Panic, ... (2020)
  Comparison of different classifiers to recognize active bone marrow from CT images. 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)
• 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, 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, 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)