Nicola Altini

According to our database, Nicola Altini authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma.

Gian Maria Zaccaria, Francesco Berloco, Domenico Buongiorno, Antonio Brunetti, Nicola Altini, Vitoantonio Bevilacqua

Comput. Methods Programs Biomed., 2024

SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data.

Gian Maria Zaccaria, Nicola Altini, Giuseppe Mezzolla, Maria Carmela Vegliante, Marianna Stranieri, Susanna Anita Pappagallo, Sabino Ciavarella, Attilio Guarini, Vitoantonio Bevilacqua

Comput. Methods Programs Biomed., 2024

2023

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy.

Nicola Altini, Michele Rossini, Sándor Turkevi-Nagy, Francesco Pesce, Paola Pontrelli, Berardino Prencipe, Francesco Berloco, Surya Seshan, Jean-Baptiste Gibier, Aníbal Pedraza Dorado, Gloria Bueno, Licia Peruzzi, Mattia Rossi, Albino Eccher, Feifei Li, Adamantios Koumpis, Oya Beyan, Jonathan Barratt, Huy Quoc Vo, Chandra Mohan, Hien Van Nguyen, Pietro Antonio Cicalese, Angela Ernst, Loreto Gesualdo, Vitoantonio Bevilacqua, Jan Ulrich Becker

Comput. Methods Programs Biomed., December, 2023

The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.

Nicola Altini, Tommaso Maria Marvulli, Francesco Alfredo Zito, Mariapia Caputo, Stefania Tommasi, Amalia Azzariti, Antonio Brunetti, Berardino Prencipe, Eliseo Mattioli, Simona De Summa, Vitoantonio Bevilacqua

Comput. Methods Programs Biomed., June, 2023

Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs).

Huy Q. Vo, Pietro Antonio Cicalese, Surya Seshan, Syed Asad Rizvi, Aneesh Vathul, Gloria Bueno, Aníbal Pedraza Dorado, Niels Grabe, Katharina Stolle, Francesco Pesce, Joris J. T. H. Roelofs, Jesper Kers, Vitoantonio Bevilacqua, Nicola Altini, Bernd Schröppel, Dario Roccatello, Antonella Barreca, Savino Sciascia, Chandra Mohan, Hien Van Nguyen, Jan U. Becker

CoRR, 2023

2022

Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey.

Nicola Altini, Berardino Prencipe, Giacomo Donato Cascarano, Antonio Brunetti, Gioacchino Brunetti, Vito Triggiani, Leonarda Carnimeo, Francescomaria Marino, Andrea Guerriero, Laura Villani, Arnaldo Scardapane, Vitoantonio Bevilacqua

Neurocomputing, 2022

2021

Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters.

Nicola Altini, Antonio Brunetti, Stefano Mazzoleni, Fabrizio Moncelli, Ilenia Zagaria, Berardino Prencipe, Erika Lorusso, Enrico Buonamico, Giovanna Elisiana Carpagnano, Davide Fiore Bavaro, Mariacristina Poliseno, Annalisa Saracino, Annalisa Schirinzi, Riccardo Laterza, Francesca Di Serio, Alessia D'Introno, Francesco Pesce, Vitoantonio Bevilacqua

Sensors, 2021

Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN.

Nicola Altini, Giuseppe De Giosa, Nicola Fragasso, Claudia Coscia, Elena Sibilano, Berardino Prencipe, Sardar Mehboob Hussain, Antonio Brunetti, Domenico Buongiorno, Andrea Guerriero, Sabina Ilaria Tatò, Gioacchino Brunetti, Vito Triggiani, Vitoantonio Bevilacqua

Informatics, 2021

Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features.

Nicola Altini, Tommaso Maria Marvulli, Mariapia Caputo, Eliseo Mattioli, Berardino Prencipe, Giacomo Donato Cascarano, Antonio Brunetti, Stefania Tommasi, Vitoantonio Bevilacqua, Simona De Summa, Alfredo Zito

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans.

Berardino Prencipe, Nicola Altini, Giacomo Donato Cascarano, Andrea Guerriero, Antonio Brunetti

Proceedings of the Intelligent Computing Theories and Application, 2020

A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation.

Nicola Altini, Berardino Prencipe, Antonio Brunetti, Gioacchino Brunetti, Vito Triggiani, Leonarda Carnimeo, Francescomaria Marino, Andrea Guerriero, Laura Villani, Arnaldo Scardapane, Giacomo Donato Cascarano

Proceedings of the Intelligent Computing Theories and Application, 2020