Francesco Pesce

According to our database, Francesco Pesce authored at least 8 papers between 2013 and 2023.

Collaborative distances:

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

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

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

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

A neural network for glomerulus classification based on histological images of kidney biopsy.

Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno, Irio De Feudis, Andrea Guerriero, Umberto Venere, Silvia Matino, Maria Teresa Rocchetti, Michele Rossini, Francesco Pesce, Loreto Gesualdo, Vitoantonio Bevilacqua

BMC Medical Informatics Decis. Mak., 2021

2019

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.

Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Andrea Guerriero, Francesco Pesce, Marco Moschetta, Loreto Gesualdo

BMC Medical Informatics Decis. Mak., 2019

An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy.

Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno, Irio De Feudis, Andrea Guerriero, Michele Rossini, Francesco Pesce, Loreto Gesualdo, Vitoantonio Bevilacqua

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

2015

Patient classification and outcome prediction in IgA nephropathy.

M. Diciolla, Giulio Binetti, Tommaso Di Noia, Francesco Pesce, Francesco Paolo Schena, A. M. Vågane, R. Bjørneklett, H. Suzuki, Y. Tomino, David Naso

Comput. Biol. Medicine, 2015

2013

An end stage kidney disease predictor based on an artificial neural networks ensemble.

Tommaso Di Noia, Vito Claudio Ostuni, Francesco Pesce, Giulio Binetti, David Naso, Francesco Paolo Schena, Eugenio Di Sciascio

Expert Syst. Appl., 2013