Dottorato in Bioingegneria E Scienze Medico-chirurgiche , 36^o ciclo (2020-2023)

Dottorato concluso nel 2024

Tesi:

How to Design, Implement, and Validate MRI-based Artificial Intelligence Systems for Oncological applications (Abstract)

Tutori:

Gabriella Balestra Samanta Rosati

Profilo

Argomento di ricerca

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

Interessi di ricerca

Biomedical signal and image processing

Biografia

Jovana Panic was born in Belgrade, Serbia. She received her Master’s Degree in Biomedical Engineering from the Politecnico di Torino, Torino, Italy, in 2019 with the thesis “Colorectal cancer segmentation on MRI images using Convolutional Neural Networks”. She worked as a Researcher under grant from October 2019 to October 2020 at the Department of Radiology of Candiolo Cancer Institute, FPO -IRCCS, Italy. She is currently a PhD student at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Her research is mainly focused on analyses and interpretation of biomedical images processing with the application of artificial intelligence techniques.

Didattica

Insegnamenti

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

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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

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Pubblicazioni

Coautori PoliTO

Pubblicazioni degli ultimi anni

Pubblicazioni per tipo

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

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
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)
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)
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, 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)
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)
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)

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Jovana Panic

Dottorato in Bioingegneria E Scienze Medico-chirurgiche , 36o ciclo (2020-2023)