Ph.D. in Bioingegneria E Scienze Medico-chirurgiche , 36^th cycle (2020-2023)

Ph.D. obtained in 2024

Profile

Research topic

Use of generative models in biomedical imaging

Research interests

Biomedical signal and image processing

Biography

Francesco Marzola was born in Ferrara, Italy. He received his Master’s Degree in Biomedical Engineering from the Politecnico di Torino in 2019 with the thesis “Ultrasound-based artery wall biomarkers measurement using a dual snake and their role in cardiovascular risk assessment models”. He worked as Researcher under grant from October 2019 to June 2020 at Politecnico di Torino. He is currently a PhD student at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research activity is mainly focused on image processing with attention on deep-learning applications for the segmentation and synthesis of images, particularly in ultrasonography.

Teaching

Teachings

Master of Science

Progettazione di dispositivi biomedici programmabili. A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
Progettazione di dispositivi biomedici programmabili. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
Elaborazione di immagini mediche. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
Elaborazione di immagini mediche. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
Progettazione di dispositivi biomedici programmabili/Sensori e misure per la bioingegneria (modulo di Progettazione di dispositivi biomedici programmabili). A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
Progettazione di dispositivi biomedici programmabili/Sensori e misure per la bioingegneria (modulo di Progettazione di dispositivi biomedici programmabili). A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
Intelligenza artificiale in medicina. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso

MostraNascondi A.A. passati

Bachelor of Science

Dispositivi impiantabili attivi/Bioimmagini (modulo di Bioimmagini). A.A. 2020/21, INGEGNERIA BIOMEDICA. Collaboratore del corso
Dispositivi impiantabili attivi/Bioimmagini (modulo di Bioimmagini). A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso

MostraNascondi A.A. passati

Research

Supervised PhD students

Pietro Leoncini. Programme in Bioingegneria E Scienze Medico-chirurgiche (cycle 41, 2025-in progress)
Research subject: Cognitive Vision for surgical robotics. Using Sim-to-Real methods, generative AI, and synthetic data to train CV models, reducing dependence on real clinical data.

Endoluminal surgery and Interventional endoscopy

Robotic surgery

Biomedical signal and image processing

Endoluminal surgery and Interventional endoscopy

Robotic surgery

Biomedical signal and image processing

Endoluminal surgery and Interventional endoscopy

Robotic surgery

Biomedical signal and image processing
Francesca Paola Maenza. Programme in Bioingegneria E Scienze Medico-chirurgiche (cycle 41, 2025-in progress)
Research subject: The PhD project focuses on the development, control and validation of robots and sensorised platforms for endolumial surgery, targeting on polyps removal.

Endoluminal surgery and Interventional endoscopy

Robotic surgery

Biomedical signal and image processing

Endoluminal surgery and Interventional endoscopy

Robotic surgery

Biomedical signal and image processing

Endoluminal surgery and Interventional endoscopy

Robotic surgery

Biomedical signal and image processing

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, ... (2024)
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 250. ISSN 0169-2607
Contributo su Rivista
Marzola, Francesco (2024)
Deep learning in Ultrasound Imaging and beyond: from discriminative analysis to generative models. relatore: MEIBURGER, KRISTEN MARIKO; MOLINARI, FILIPPO; , 36. XXXVI Ciclo, P.: 100
Doctoral Thesis
Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; ... (2024)
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks. In: DIAGNOSTICS, vol. 14. ISSN 2075-4418
Contributo su Rivista
Marzola, Francesco; Lochner, Piergiorgio; Naldi, Andrea; Lemor, Robert; Stögbauer, ... (2023)
Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set. In: ULTRASOUND IN MEDICINE AND BIOLOGY, vol. 49, pp. 2060-2071. ISSN 0301-5629
Contributo su Rivista
Marzola, Francesco; Meiburger, Kristen M.; Salvi, Massimo (2023)
Innovative temporal loss function for segmentation of fine structures in ultrasound images. In: 2023 IEEE International Ultrasonics Symposium (IUS), Montreal, QC, Canada, 03-08 September 2023. ISBN: 979-8-3503-4645-9
Contributo in Atti di Convegno (Proceeding)
Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo (2023)
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. In: SPIE MEDICAL IMAGING 2023, San Diego (USA), 19-24 Febbraio 2023. ISBN: 9781510660359
Contributo in Atti di Convegno (Proceeding)
Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo (2023)
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. In: 2023 24th International Conference on Digital Signal Processing (DSP), Rhodes (Rodos), Greece, 11-13 June 2023, pp. 1-5. ISBN: 979-8-3503-3959-8
Contributo in Atti di Convegno (Proceeding)
Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, ... (2022)
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans. In: COMPUTERS IN BIOLOGY AND MEDICINE, vol. 144. ISSN 0010-4825
Contributo su Rivista
Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M. (2021)
Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment. In: COMPUTERS IN BIOLOGY AND MEDICINE, vol. 135. ISSN 0010-4825
Contributo su Rivista
Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco (2021)
Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach. In: 2021 IEEE International Ultrasonics Symposium (IUS), Virtuale, 11-16 Sept. 2021, pp. 1-4. ISBN: 978-1-6654-0355-9
Contributo in Atti di Convegno (Proceeding)
Meiburger, K. M.; Zahnd, G.; Faita, F.; Loizou, C. P.; Carvalho, C.; Steinman, D. A.; ... (2021)
Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact. In: ULTRASOUND IN MEDICINE AND BIOLOGY, vol. 47, pp. 2442-2455. ISSN 0301-5629
Contributo su Rivista
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)
Marzola, F.; Alfen, N. V.; Salvi, M.; De Santi, B.; Doorduin, J.; Meiburger, K. M. (2020)
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. In: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, QC, Canada, 20-24 July 2020, pp. 2113-2116. ISSN 1557-170X. ISBN: 978-1-7281-1990-8
Contributo in Atti di Convegno (Proceeding)

More publicationsLess publications

Francesco Marzola

Ph.D. in Bioingegneria E Scienze Medico-chirurgiche , 36th cycle (2020-2023)

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