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981 results on '"Sansone, Carlo"'

1. Artificial Intelligence in Lung Cancer Diagnosis: 'SYNERGY-NET' in Campania FESR-POR (European Fund of Regional Development—Regional Operative Program) Research Project

Author

Parmeggiani, Domenico, Fiorelli, Alfonso, Moccia, Giancarlo, Luongo, Pasquale, d’Orlando, Vittorio, Sperlongano, Pasquale, Miele, Francesco, Torelli, Francesco, Marrone, Stefano, Gravina, Michela, Sansone, Carlo, Bollino, Ruggiero, Bassi, Paola, Sciarra, Antonella, Santini, Mario, Della Monica, Paola, Colapietra, Federica, Di Domenico, Marina, Docimo, Ludovico, Agresti, Massimo, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Choudrie, Jyoti, editor, Tuba, Eva, editor, Perumal, Thinagaran, editor, and Joshi, Amit, editor

Published
2024
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2. Artificial Intelligence in Colorectal Cancer Diagnosis: 'SYNERGY-NET' in Campania FESR-POR (European Fund of Regional Development—Regional Operative Program) Research Project

Author

Parmeggiani, Domenico, Napolitano, Vincenzo, Moccia, Giancarlo, d’Orlando, Vittorio, Sperlongano, Pasquale, Luongo, Pasquale, Miele, Francesco, Allaria, Alfredo, Torelli, Francesco, Marrone, Stefano, Gravina, Michela, Sansone, Carlo, Bollino, Ruggiero, Bassi, Paola, Sciarra, Antonella, Francesco, Lucido, Di Domenico, Marina, Monica, Paola Della, Colapietra, Federica, Ballini, Andrea, Docimo, Ludovico, Agresti, Massimo, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Choudrie, Jyoti, editor, Tuba, Eva, editor, Perumal, Thinagaran, editor, and Joshi, Amit, editor

Published
2024
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3. Artificial Intelligence in Breast Cancer Diagnosis: 'Synergy-Net' in Campania FESR-POR (European Fund of Regional Development—Regional Operative Program) Research Project

Author

Parmeggiani, Domenico, Moccia, Giancarlo, Luongo, Pasquale, Miele, Francesco, Allaria, Alfredo, Torelli, Francesco, Marrone, Stefano, Gravina, Michela, Sansone, Carlo, Bollino, Ruggiero, Ruggiero, Roberto, Bassi, Paola, Sciarra, Antonella, Parisi, Simona, Fisone, Francesca, Donnarumma, Maddalena Claudia, Colonnese, Chiara, Monica, Paola Della, Di Domenico, Marina, Docimo, Ludovico, Agresti, Massimo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2024
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4. Artificial Intelligence in Prostate Cancer Diagnosis: 'Synergy-Net' in Campania FESR-POR (European Fund of Regional Development—Regional Operative Program) Research Project

Author

Parmeggiani, Domenico, De Sio, Marco, Moccia, Giancarlo, Luongo, Pasquale, Miele, Francesco, Allaria, Alfredo, Torelli, Francesco, Marrone, Stefano, Gravina, Michela, Sansone, Carlo, Bollino, Ruggiero, Bassi, Paola, Sciarra, Antonella, Arcaniolo, Davide, Donnarumma, Maddalena Claudia, Colonnese, Chiara, Romano, Lorenzo, Colapietra, Federica, Di Domenico, Marina, Docimo, Ludovico, Agresti, Massimo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2024
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5. ONFIRE Contest 2023: Real-Time Fire Detection on the Edge

Author

Gragnaniello, Diego, Greco, Antonio, Sansone, Carlo, Vento, Bruno, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Foresti, Gian Luca, editor, Fusiello, Andrea, editor, and Hancock, Edwin, editor

Published
2024
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6. Digitizer: A Synthetic Dataset for Well-Log Analysis

Author

Nasim, M. Quamer, Patwardhan, Narendra, Ali, Javed, Maiti, Tannistha, Marrone, Stefano, Singh, Tarry, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Foresti, Gian Luca, editor, Fusiello, Andrea, editor, and Hancock, Edwin, editor

Published
2024
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17. FEAD-D: Facial Expression Analysis in Deepfake Detection

Author

Gravina, Michela, Galli, Antonio, De Micco, Geremia, Marrone, Stefano, Fiameni, Giuseppe, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Foresti, Gian Luca, editor, Fusiello, Andrea, editor, and Hancock, Edwin, editor

Published
2023
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18. Deep learning in the ultrasound evaluation of neonatal respiratory status

Author

Gravina, Michela, Gragnaniello, Diego, Verdoliva, Luisa, Poggi, Giovanni, Corsini, Iuri, Dani, Carlo, Meneghin, Fabio, Lista, Gianluca, Aversa, Salvatore, Raimondi, Francesco, Migliaro, Fiorella, and Sansone, Carlo

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Lung ultrasound imaging is reaching growing interest from the scientific community. On one side, thanks to its harmlessness and high descriptive power, this kind of diagnostic imaging has been largely adopted in sensitive applications, like the diagnosis and follow-up of preterm newborns in neonatal intensive care units. On the other side, state-of-the-art image analysis and pattern recognition approaches have recently proven their ability to fully exploit the rich information contained in these data, making them attractive for the research community. In this work, we present a thorough analysis of recent deep learning networks and training strategies carried out on a vast and challenging multicenter dataset comprising 87 patients with different diseases and gestational ages. These approaches are employed to assess the lung respiratory status from ultrasound images and are evaluated against a reference marker. The conducted analysis sheds some light on this problem by showing the critical points that can mislead the training procedure and proposes some adaptations to the specific data and task. The achieved results sensibly outperform those obtained by a previous work, which is based on textural features, and narrow the gap with the visual score predicted by the human experts., Comment: 7 pages

Published
2020

21. On the Importance of Temporal Features in Domain Adaptation Methods for Action Recognition

Author

Conte, Donatello, Fioretti, Giuliano Giovanni, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Krzyzak, Adam, editor, Suen, Ching Y., editor, Torsello, Andrea, editor, and Nobile, Nicola, editor

Published
2022
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22. Toward a System for Post-Earthquake Safety Evaluation of Masonry Buildings

Author

Giacco, Giovanni, Mariniello, Giulio, Marrone, Stefano, Asprone, Domenico, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sclaroff, Stan, editor, Distante, Cosimo, editor, Leo, Marco, editor, Farinella, Giovanni M., editor, and Tombari, Federico, editor

Published
2022
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23. Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion

Author

Gravina, Michela, Marrone, Stefano, Docimo, Ludovico, Santini, Mario, Fiorelli, Alfonso, Parmeggiani, Domenico, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sclaroff, Stan, editor, Distante, Cosimo, editor, Leo, Marco, editor, Farinella, Giovanni M., editor, and Tombari, Federico, editor

Published
2022
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24. LessonAble: Leveraging Deep Fakes in MOOC Content Creation

Author

Sannino, Ciro, Gravina, Michela, Marrone, Stefano, Fiameni, Giuseppe, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sclaroff, Stan, editor, Distante, Cosimo, editor, Leo, Marco, editor, Farinella, Giovanni M., editor, and Tombari, Federico, editor

Published
2022
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29. Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios

Author

Galli, Antonio, Marrone, Stefano, Moscato, Vincenzo, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Del Bimbo, Alberto, editor, Cucchiara, Rita, editor, Sclaroff, Stan, editor, Farinella, Giovanni Maria, editor, Mei, Tao, editor, Bertini, Marco, editor, Escalante, Hugo Jair, editor, and Vezzani, Roberto, editor

Published
2021
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30. Developing a Smart PACS: CBIR System Using Deep Learning

Author

Gravina, Michela, Marrone, Stefano, Piantadosi, Gabriele, Moscato, Vincenzo, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Del Bimbo, Alberto, editor, Cucchiara, Rita, editor, Sclaroff, Stan, editor, Farinella, Giovanni Maria, editor, Mei, Tao, editor, Bertini, Marco, editor, Escalante, Hugo Jair, editor, and Vezzani, Roberto, editor

Published
2021
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31. A Survey About the Cyberbullying Problem on Social Media by Using Machine Learning Approaches

Author

Sansone, Carlo, Sperlí, Giancarlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Del Bimbo, Alberto, editor, Cucchiara, Rita, editor, Sclaroff, Stan, editor, Farinella, Giovanni Maria, editor, Mei, Tao, editor, Bertini, Marco, editor, Escalante, Hugo Jair, editor, and Vezzani, Roberto, editor

Published
2021
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32. Fingerprint Adversarial Presentation Attack in the Physical Domain

Author

Marrone, Stefano, Casula, Roberto, Orrù, Giulia, Marcialis, Gian Luca, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Del Bimbo, Alberto, editor, Cucchiara, Rita, editor, Sclaroff, Stan, editor, Farinella, Giovanni Maria, editor, Mei, Tao, editor, Bertini, Marco, editor, Escalante, Hugo Jair, editor, and Vezzani, Roberto, editor

Published
2021
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37. A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets

Author

Gravina, Michela, Maddaluno, Massimo, Marrone, Stefano, Sansone, Mario, Fusco, Roberta, Granata, Vincenza, Petrillo, Antonella, and Sansone, Carlo

Abstract

In biomedical image processing, Deep Learning (DL) is increasingly exploited in various forms and for diverse purposes. Despite unprecedented results, the huge number of parameters to learn, which necessitates a substantial number of annotated samples, remains a significant challenge. In medical domains, obtaining high-quality labelled datasets is still a challenging task. In recent years, several works have leveraged data augmentation to face this issue, mostly thanks to the introduction of generative models able to produce artificial samples having the same characteristics as the acquired ones. However, we claim that biological principles must be considered in this process, as all medical imaging techniques exploit one or more physical laws or properties directly associated with the physiological characteristics of the tissues under analysis. A notable example is the Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI), in which the kinetic of the contrast agent (CA) highlights both morphological and physiological aspects. In this paper, we introduce a novel generative approach explicitly relying on Physiologically Based Pharmacokinetic (PBPK) modelling and on an Intrinsic Deforming Autoencoder (DAE) to implement a physiologically-aware data augmentation strategy. As a case of study, we consider breast DCE-MRI. In particular, we tested our proposal on two private and one public datasets with different acquisition protocols, demonstrating that the proposed method significantly improves the performance of several DL-based lesion classifiers.

Published
2024
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38. Cross-modality calibration in multi-input network for axillary lymph node metastasis evaluation

Author

Gravina, Michela, Santucci, Domiziana, Cordelli, Ermanno, Soda, Paolo, Sansone, Carlo, Gravina, Michela, Santucci, Domiziana, Cordelli, Ermanno, Soda, Paolo, and Sansone, Carlo

Abstract

The use of deep neural networks (DNNs) in medical images has enabled the development of solutions characterized by the need of leveraging information coming from multiple sources, raising the Multimodal Deep Learning. DNNs are known for their ability to provide hierarchical and high-level representations of input data. This capability has led to the introduction of methods performing data fusion at an intermediate level, preserving the distinctiveness of the heterogeneous sources in modality-specific paths, while learning the way to define an effective combination in a shared representation. However, modeling the intricate relationships between different data remains an open issue. In this paper, we aim to improve the integration of data coming from multiple sources. We introduce between layers belonging to different modality-specific paths a Transfer Module (TM) able to perform the cross-modality calibration of the extracted features, reducing the effects of the less discriminative ones. As case of study, we focus on the axillary lymph nodes metastasis evaluation in malignant breast cancer, a crucial prognostic factor, affecting patient’s survival. We propose a Multi-Input Single-Output 3D Convolutional Neural Network (CNN) that considers both images acquired with multiparametric Magnetic Resonance and clinical information. In particular, we assess the proposed methodology using four architectures, namely BasicNet and three ResNet variants, showing the improvement of the performance obtained by including the TM in the network configuration. Our results achieve up to 90% and 87% of accuracy and Area under ROC curve, respectively when the ResNet10 is considered, surpassing various fusion strategies proposed in the literature.

Published
2024
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39. Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

Author

Castelluccio, Marco, Poggi, Giovanni, Sansone, Carlo, and Verdoliva, Luisa

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We explore the use of convolutional neural networks for the semantic classification of remote sensing scenes. Two recently proposed architectures, CaffeNet and GoogLeNet, are adopted, with three different learning modalities. Besides conventional training from scratch, we resort to pre-trained networks that are only fine-tuned on the target data, so as to avoid overfitting problems and reduce design time. Experiments on two remote sensing datasets, with markedly different characteristics, testify on the effectiveness and wide applicability of the proposed solution, which guarantees a significant performance improvement over all state-of-the-art references.

Published
2015

41. A Business Reputation Methodology Using Social Network Analysis

Author

Galli, Antonio, Gravina, Michela, Moscato, Vincenzo, Picariello, Antonio, Sansone, Carlo, Sperlí, Giancarlo, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Esposito, Christian, editor, Hong, Jiman, editor, and Choo, Kim-Kwang Raymond, editor

Published
2019
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42. Skin Lesions Classification: A Radiomics Approach with Deep CNN

Author

Piantadosi, Gabriele, Bovenzi, Giampaolo, Argenziano, Giuseppe, Moscarella, Elvira, Parmeggiani, Domenico, Docimo, Ludovico, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cristani, Marco, editor, Prati, Andrea, editor, Lanz, Oswald, editor, Messelodi, Stefano, editor, and Sebe, Nicu, editor

Published
2019
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43. 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI

Author

Gravina, Michela, Marrone, Stefano, Piantadosi, Gabriele, Sansone, Mario, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ricci, Elisa, editor, Rota Bulò, Samuel, editor, Snoek, Cees, editor, Lanz, Oswald, editor, Messelodi, Stefano, editor, and Sebe, Nicu, editor

Published
2019
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44. Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification

Author

Galli, Antonio, Gravina, Michela, Marrone, Stefano, Piantadosi, Gabriele, Sansone, Mario, Sansone, Carlo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Vento, Mario, editor, and Percannella, Gennaro, editor

Published
2019
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45. On Reproducibility of Deep Convolutional Neural Networks Approaches

Author

Piantadosi, Gabriele, Marrone, Stefano, Sansone, Carlo, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Kerautret, Bertrand, editor, Colom, Miguel, editor, Lopresti, Daniel, editor, Monasse, Pascal, editor, and Talbot, Hugues, editor

Published
2019
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49. The European AI Tango: Balancing Regulation Innovation and Competitiveness

Author

Todorova, Christina, primary, Sharkov, George, additional, Aldewereld, Huib, additional, Leijnen, Stefan, additional, Dehghani, Alireza, additional, Marrone, Stefano, additional, Sansone, Carlo, additional, Lynch, Maurice, additional, Pugh, John, additional, Singh, Tarry, additional, Mezei, Kitti, additional, Antal, Péter, additional, Hanák, Péter, additional, Barducci, Alessandro, additional, Perez-Tellez, Fernando, additional, and Gargiulo, Francesco, additional

Published
2023
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