BOLOGNA, MARCO

BOLOGNA, MARCO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction 1-gen-2022 Corino, Valentina D ABologna, MarcoMainardi, Luca +
A CT-based radiomic signature can be prognostic for 10-months overall survival in metastatic tumors treated with nivolumab: An exploratory study 1-gen-2021 Bologna M.Mainardi L. +
A framework for computational fluid dynamic analyses of patient-specific stented coronary arteries from optical coherence tomography images 1-gen-2017 MIGLIORI, SUSANNACHIASTRA, CLAUDIOBOLOGNA, MARCOMONTIN, EROSDUBINI, GABRIELE ANGELOFEDELE, ROBERTOMAINARDI, LUCAMIGLIAVACCA, FRANCESCO +
A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology 1-gen-2020 Bologna M.Poggi G.Cerveri P.Mainardi L. +
A patient-specific study investigating the relation between coronary hemodynamics and neo-intimal thickening after bifurcation stenting with a polymeric bioresorbable scaffold 1-gen-2018 MIGLIORI, SUSANNABOLOGNA, MARCOE. MontinG. DubiniL. MainardiF. MigliavaccaC. Chiastra +
A robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational fluid dynamics 1-gen-2017 BOLOGNA, MARCOMIGLIAVACCA, FRANCESCO +
Application of an OCT-based 3D reconstruction framework to the hemodynamic assessment of an ulcerated coronary artery plaque 1-gen-2020 Migliori S.Chiastra C.Bologna M.Dubini G.Mainardi L.Migliavacca F. +
Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images 1-gen-2018 Bologna M.Corino V. D. A.Montin E.Mainardi L. +
Automatic segmentation of optical coherence tomography pullbacks of coronary arteries treated with bioresorbable vascular scaffolds: Application to hemodynamics modeling 1-gen-2019 Bologna, MarcoDubini, GabrieleMigliavacca, FrancescoMainardi, LucaChiastra, Claudio +
Baseline mri-radiomics can predict overall survival in non-endemic ebv-related nasopharyngeal carcinoma patients 1-gen-2020 Bologna M.Corino V.Mainardi L. +
Computing patient-specific hemodynamics in stented femoral artery models obtained from computed tomography using a validated 3D reconstruction method 1-gen-2020 Colombo M.Bologna M.Rodriguez Matas J. F.Migliavacca F.Chiastra C. +
Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project 1-gen-2020 Bologna M.Mainardi L. +
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance 1-gen-2022 Bologna, MarcoCorino, Valentina D AMainardi, Luca +
Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients 1-gen-2021 Bologna M.Corino V.Mainardi L. +
Reconstruction of stented coronary arteries from optical coherence tomography images: Feasibility, validation, and repeatability of a segmentation method 1-gen-2017 CHIASTRA, CLAUDIOMONTIN, EROSBOLOGNA, MARCOMIGLIORI, SUSANNADUBINI, GABRIELE ANGELOMIGLIAVACCA, FRANCESCOMAINARDI, LUCA +
Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy 1-gen-2022 Corino, Valentina D ABologna, MarcoMainardi, Luca +
Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer 1-gen-2020 Bologna M.Montin E.Corino V.Mainardi L. +
Repeatability and reproducibility of MRI-radiomic features: A phantom experiment on a 1.5 T scanner 1-gen-2023 Bologna, MarcoCorino, Valentina D AMainardi, Luca +
Retrospective study of late radiation-induced damages after focal radiotherapy for childhood brain tumors 1-gen-2021 Montin, ErosBologna, MarcoMainardi, Luca +
Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI-radiomics of the brain 1-gen-2019 Bologna M.Corino V.Mainardi L.