BESOZZI, DANIELA

BESOZZI, DANIELA  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Titolo Tipologia Data di pubblicazione Autori File
Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL 01 - Articolo su rivista 2024 L'Imperio, VincenzoCoelho, VascoCazzaniga, GiorgioPapetti, Daniele MDel Carro, FabioCapitoli, GiuliaMarino, MarioCeku, JorandaIvanova, MariiaGianatti, AndreaNobile, Marco SGalimberti, StefaniaBesozzi, DanielaPagni, Fabio +
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen 02 - Intervento a convegno 2024 Marco BarrecaDaniela Besozzi +
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen 02 - Intervento a convegno 2024 Marco BarrecaDaniela Besozzi +
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen 02 - Intervento a convegno 2024 Marco BarrecaDaniela Besozzi +
Advantages of GPU-accelerated approach for solving the Parker equation in the heliosphere 02 - Intervento a convegno 2023 La Vacca, GiuseppeCavallotto, GiovanniBesozzi, DanielaGervasi, Massimo +
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar 01 - Articolo su rivista 2023 Papetti, Daniele MMenè, RobertoHeilbron, FrancescaPerelli, Francesco PParati, GianfrancoBadano, LuigiBesozzi, DanielaTorlasco, Camilla +
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning 01 - Articolo su rivista 2023 Papetti, Daniele M.Spolaor, SimoneBesozzi, Daniela +
Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance 01 - Articolo su rivista 2023 Papetti, Daniele MNobile, Marco SBesozzi, Daniela +
Method for Determining an Optimal Inversion Time for an "Inversion Recovery" Radio Frequency Pulse Sequence of a Magnetic Resonance for Acquiring Late Images After Administering a Paramagnetic Contrast Medium 06 - Brevetti 2023 Papetti DMTorlasco CNobile MSBesozzi D
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts 02 - Intervento a convegno 2023 Coelho, VPapetti, DTangherloni, ACazzaniga, PBesozzi, DNobile, M
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies 01 - Articolo su rivista 2023 Capitoli, GClerici, FPiga, IMagni, FPagni, FGalimberti, SBesozzi, D +
Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation 02 - Intervento a convegno 2023 Papetti, D MMuscogiuri, GBadano, L PParati, GBesozzi, D +
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization 02 - Intervento a convegno 2022 Papetti, DCoelho, VSpolaor, SBesozzi, D +
Metodo per determinare un tempo di inversione ottimale per una sequenza “Inversion Recovery” di risonanza magnetica utilizzabile per l’acquisizione di immagini tardive dopo somministrazione di un mezzo di contrasto paramagnetico 06 - Brevetti 2022 Besozzi, DPapetti, DTorlasco, CNobile, M
Modeling Calcium Signaling in S. cerevisiae Highlights the Role and Regulation of the Calmodulin-Calcineurin Pathway in Response to Hypotonic Shock 01 - Articolo su rivista 2022 Spolaor, SimoneNobile, Marco S.Cazzaniga, PaoloTisi, RenataBesozzi, Daniela +
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks 01 - Articolo su rivista 2022 Riva S. G.Cazzaniga P.Nobile M. S.Spolaor S.Rundo L.Besozzi D.Tangherloni A.
A comparison of multi-objective optimization algorithms to identify drug target combinations 02 - Intervento a convegno 2021 Spolaor S.Papetti D. M.Besozzi D.Nobile M. S. +
An Experimental and Computational Protocol to Study Cell Proliferation in Human Acute Myeloid Leukemia Xenografts 03 - Contributo in libro 2021 Nobile, Marco SBesozzi, Daniela +
Analysis of single-cell RNA sequencing data based on autoencoders 01 - Articolo su rivista 2021 Tangherloni A.Besozzi D. +
Editorial: Network-Oriented Approaches to Anticancer Drug Response 01 - Articolo su rivista 2021 Besozzi D. +