Roberto Paredes

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Costantino Grana

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Publications

2022
[p3]
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Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater:
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. Technologies and Applications for Big Data Value 2022: 183-202
2021
[j18]
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  - journals/iet-cvi/PollastriPMBPRG21
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Federico Pollastri, Mario Parreño, Juan Maroñas, Federico Bolelli, Roberto Paredes, Daniel Ramos, Costantino Grana:
A deep analysis on high-resolution dermoscopic image classification. IET Comput. Vis. 15(7): 514-526 (2021)
2020
[j15]
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Federico Pollastri, Federico Bolelli, Roberto Paredes, Costantino Grana:
Augmenting data with GANs to segment melanoma skin lesions. Multim. Tools Appl. 79(21-22): 15575-15592 (2020)
[c58]
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Federico Pollastri, Juan Maroñas, Federico Bolelli, Giulia Ligabue, Roberto Paredes, Riccardo Magistroni, Costantino Grana:
Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification. ICPR 2020: 1298-1305
[c57]
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  - conf/icpr/CancillaCBACPGL20
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Michele Cancilla, Laura Canalini, Federico Bolelli, Stefano Allegretti, Salvador Carrión, Roberto Paredes, Jon Ander Gómez, Simone Leo, Marco Enrico Piras, Luca Pireddu, Asaf Badouh, Santiago Marco-Sola, Lluc Alvarez, Miquel Moretó, Costantino Grana:
The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications. ICPR 2020: 9881-9888
2018
[c52]
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Federico Bolelli, Federico Pollastri, Roberto Paredes Palacios, Costantino Grana:
Improving Skin Lesion Segmentation with Generative Adversarial Networks. CBMS 2018: 442-443

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