Francesco Bianconi

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Positron Emission Tomography

Convolutional Neural Network

Prostate Cancer

Top Venues

Diagnostics (Basel, Switzerland)

Sensors (Basel, Switzerland)

Journal of imaging

This page only lists publications with an associated author ORCID identifier.

Publications

Laura Evangelista, Francesco Fiz, Riccardo Laudicella, Francesco Bianconi, Angelo Castello, Priscilla Guglielmo, Virginia Liberini, Luigi Manco, Viviana Frantellizzi, Alessia Giordano, Luca Urso, Stefano Panareo, Barbara Palumbo, Luca Filippi
PET Radiomics and Response to Immunotherapy in Lung Cancer: A Systematic Review of the Literature. Cancers 15 (12) (2023)
Laura Evangelista, Francesco Fiz, Riccardo Laudicella, Francesco Bianconi, Angelo Castello, Priscilla Guglielmo, Virginia Liberini, Luigi Manco, Viviana Frantellizzi, Alessia Giordano, Luca Urso, Stefano Panareo, Barbara Palumbo, Luca Filippi
PET Radiomics and Response to Immunotherapy in Lung Cancer: A Systematic Review of the Literature. Cancers 15 (12) (2023)
Francesco Bianconi, Roberto Salis, Mario Luca Fravolini, Muhammad Usama Khan, Matteo Minestrini, Luca Filippi, Andrea Marongiu, Susanna Nuvoli, Angela Spanu, Barbara Palumbo
Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [ 18 F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG PET/CT) in Patients with Head and Neck Cancer. Sensors (Basel, Switzerland) 23 (18) (2023)
Francesco Bianconi, Isabella Palumbo, Mario Luca Fravolini, Maria Rondini, Matteo Minestrini, Giulia Pascoletti, Susanna Nuvoli, Angela Spanu, Michele Scialpi, Cynthia Aristei, Barbara Palumbo
Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans. Sensors (Basel, Switzerland) 22 (13) (2022)
Luca Filippi, Francesco Bianconi, Orazio Schillaci, Angela Spanu, Barbara Palumbo
The Role and Potential of 18 F-FDG PET/CT in Malignant Melanoma: Prognostication, Monitoring Response to Targeted and Immunotherapy, and Radiomics. Diagnostics (Basel, Switzerland) 12 (4) (2022)
Susanna Nuvoli, Francesco Bianconi, Maria Rondini, Achille Lazzarato, Andrea Marongiu, Mario Luca Fravolini, Silvia Cascianelli, Serena Amici, Luca Filippi, Angela Spanu, Barbara Palumbo
Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18 F-FDG PET/CT and Automated Classifiers. Diagnostics (Basel, Switzerland) 12 (10) (2022)
Francesco Bianconi, Mario Luca Fravolini, Isabella Palumbo, Giulia Pascoletti, Susanna Nuvoli, Maria Rondini, Angela Spanu, Barbara Palumbo
Impact of Lesion Delineation and Intensity Quantisation on the Stability of Texture Features from Lung Nodules on CT: A Reproducible Study. Diagnostics (Basel, Switzerland) 11 (7) (2021)
Francesco Bianconi, Antonio Fernández, Fabrizio Smeraldi, Giulia Pascoletti
Colour and Texture Descriptors for Visual Recognition: A Historical Overview. Journal of imaging 7 (11) (2021)
Francesco Bianconi, Jakob N Kather, Constantino Carlos Reyes-Aldasoro
Experimental Assessment of Color Deconvolution and Color Normalization for Automated Classification of Histology Images Stained with Hematoxylin and Eosin. Cancers 12 (11) (2020)
Barbara Palumbo, Francesco Bianconi, Isabella Palumbo, Mario Luca Fravolini, Matteo Minestrini, Susanna Nuvoli, Maria Lina Stazza, Maria Rondini, Angela Spanu
Value of Shape and Texture Features from 18F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation. Diagnostics (Basel, Switzerland) 10 (9) (2020)
Francesco Bianconi, Isabella Palumbo, Mario Luca Fravolini, Rita Chiari, Matteo Minestrini, Luca Brunese, Barbara Palumbo
Texture Analysis on [18F]FDG PET/CT in Non-Small-Cell Lung Cancer: Correlations Between PET Features, CT Features, and Histological Types. Molecular imaging and biology 21 (6) (2020)
Michele Scialpi, Francesco Bianconi, Vito Cantisani, Barbara Palumbo
Radiomic Machine Learning: Is It Really a Useful Method for the Characterization of Prostate Cancer? Radiology 291 (1) (2019)