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Francesco Pesce
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2020 – today
- 2024
- [c2]Niccolo Nicolosi, Francesco Renato Negri, Francesco Pesce, Francesco Peverelli, Davide Conficconi, Marco Domenico Santambrogio:
PSyGS Gen A Generator of Domain-Specific Architectures to Accelerate Sparse Linear System Resolution. IPDPS (Workshops) 2024: 41-47 - 2023
- [j6]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:
Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy. Comput. Methods Programs Biomed. 242: 107814 (2023) - [i1]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:
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs). CoRR abs/2311.14971 (2023) - 2021
- [j5]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
A neural network for glomerulus classification based on histological images of kidney biopsy. BMC Medical Informatics Decis. Mak. 21-S(1): 300 (2021) - [j4]Nicola Altini
Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters. Sensors 21(24): 8503 (2021)
2010 – 2019
- 2019
- [j3]Vitoantonio Bevilacqua, Antonio Brunetti
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images. BMC Medical Informatics Decis. Mak. 19-S(9): 244 (2019) - [c1]Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti
An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy. ICIC (3) 2019: 727-738 - 2015
- [j2]M. Diciolla, Giulio Binetti, Tommaso Di Noia, Francesco Pesce, Francesco Paolo Schena, A. M. Vågane, R. Bjørneklett, H. Suzuki, Y. Tomino, David Naso:
Patient classification and outcome prediction in IgA nephropathy. Comput. Biol. Medicine 66: 278-286 (2015) - 2013
- [j1]Tommaso Di Noia
An end stage kidney disease predictor based on an artificial neural networks ensemble. Expert Syst. Appl. 40(11): 4438-4445 (2013)
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