List of theses with "Marzola, Francesco as relator"

Lorenzo Revello. 3D RECONSTRUCTION OF THE COLONIC MUCOSA FROM MONOCULAR ENDOSCOPIC VIDEO FOR UNOBSERVED AREA QUANTIFICATION. Rel. Kristen Mariko Meiburger, Alberto Arezzo, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025

Chiara Pes. Augmented reality for surgical planning: integrating HoloLens 2 for 3D visualization and interaction with patient-specific anatomical models. Rel. Massimo Salvi, Francesco Marzola, Alberto Arezzo, Kristen Mariko Meiburger. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025

Andrea Borgno. Vision Transformers for Surgical Scene Understanding and Skill Assessment in Minimally Invasive Robotic Suturing. Rel. Kristen Mariko Meiburger, Francesco Marzola, Alberto Arezzo. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025

Giorgia Passione. Muscle segmentation in MRI volumes of lower limbs: Centralized or Federated learning? Rel. Kristen Mariko Meiburger, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025

Martina Del Toro. Approccio generativo tramite contenuto semantico per la simulazione di immagini istopatologiche di tessuto prostatico = Generative approach through semantic content for the simulation of histopathological images of prostate tissue. Rel. Massimo Salvi, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024

Camilla Francolini. Cross-Domain Adaptation of Ultrasound Thyroid Images using Deep Generative Models. Rel. Kristen Mariko Meiburger, Massimo Salvi, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023

Federica Minervino. Simulation of CCA ultrasound images through Deep Learning-based Generative Models. Rel. Kristen Mariko Meiburger, Massimo Salvi, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023

Federica Lemma. Development of an Automatic Algorithm for Needle Segmentation for Multi-Modal Optical Imaging Modalities. Rel. Kristen Mariko Meiburger, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023

Giacomo Brenciani. L'utilizzo dei modelli generativi per generalizzare algoritmi di denoising nelle immagini ultrasonografiche = The use of generative models to generalize denoising algorithms in ultrasound images. Rel. Kristen Mariko Meiburger, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023

Ilaria Martini. Modelli generativi basati su apprendimento profondo per la simulazione di immagini istopatologiche di tessuto prostatico = Generative models based on deep learning for the simulation of prostate histopathological images. Rel. Massimo Salvi, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023

Evelin Omobono. Segmentazione e caratterizzazione di volumi MRI di arto inferiore tramite Deep Learning e Texture Analysis per il riconoscimento di distrofie muscolari = Segmentation and characterization of lower limb MRI volumes using Deep Learning and Texture Analysis to recognize musclular dystrophies. Rel. Kristen Mariko Meiburger, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2023

Alessandra Nardella. Simulazione di immagini ecografiche transorbitali come Data Augmentation per la segmentazione delle strutture del nervo ottico = Simulation of transorbital ultrasound images as Data Augmentation for segmentation of optic nerve structures. Rel. Kristen Mariko Meiburger, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022

Denise Gentile. Sviluppo di un metodo automatico basato sul deep learning per la valutazione automatica del nervo ottico in immagini ultrasonografiche transorbitali = Development of an automatic method based on deep learning for the automatic evaluation of the optic nerve in transorbital ultrasonographic images. Rel. Kristen Mariko Meiburger, Filippo Molinari, Francesco Marzola. Politecnico di Torino, Master of science program in Biomedical Engineering, 2021