Nicola Altini

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Prostate Cancer

Coronavirus Disease

Top Venues

Bioengineering (Basel, Switzerland)

Sensors (Basel, Switzerland)

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

Publications

Nicola Altini, Emilia Puro, Maria Giovanna Taccogna, Francescomaria Marino, Simona De Summa, Concetta Saponaro, Eliseo Mattioli, Francesco Alfredo Zito, Vitoantonio Bevilacqua
Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability. Bioengineering (Basel, Switzerland) 10 (4) (2023)
Berardino Prencipe, Claudia Delprete, Emilio Garolla, Fabio Corallo, Matteo Gravina, Maria Iole Natalicchio, Domenico Buongiorno, Vitoantonio Bevilacqua, Nicola Altini, Antonio Brunetti
An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients. Bioengineering (Basel, Switzerland) 10 (7) (2023)
Nicola Altini, Emilia Puro, Maria Giovanna Taccogna, Francescomaria Marino, Simona De Summa, Concetta Saponaro, Eliseo Mattioli, Francesco Alfredo Zito, Vitoantonio Bevilacqua
Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability. Bioengineering (Basel, Switzerland) 10 (4) (2023)
Nicola Altini, Antonio Brunetti, Emilia Puro, Maria Giovanna Taccogna, Concetta Saponaro, Francesco Alfredo Zito, Simona De Summa, Vitoantonio Bevilacqua
NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM. Bioengineering (Basel, Switzerland) 9 (9) (2022)
Nicola Altini, Antonio Brunetti, Valeria Pia Napoletano, Francesca Girardi, Emanuela Allegretti, Sardar Mehboob Hussain, Gioacchino Brunetti, Vito Triggiani, Vitoantonio Bevilacqua, Domenico Buongiorno
A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net. Bioengineering (Basel, Switzerland) 9 (8) (2022)
Nicola Altini, Antonio Brunetti, Stefano Mazzoleni, Fabrizio Moncelli, Ilenia Zagaria, Berardino Prencipe, Erika Lorusso, Enrico Buonamico, Giovanna Elisiana Carpagnano, Davide Fiore Bavaro, Maria Cristina Poliseno, Annalisa Saracino, Annalisa Schirinzi, Riccardo Laterza, Francesca Di Serio, Alessia D'Introno, Francesco Pesce, Vitoantonio Bevilacqua
Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters. Sensors (Basel, Switzerland) 21 (24) (2021)