World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12176
World Ranking
6714
National Ranking
159

Overview

Carlo Sansone is affiliated with the University of Naples Federico II in Italy. Their research primarily spans the fields of Computer Science, Medicine, and Engineering, with a significant focus on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Computer Vision and Pattern Recognition. Further subfields include Safety, Risk, Reliability and Quality, along with Pulmonary and Respiratory Medicine.

Their research topics include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Fire Detection and Safety Systems
  • Adversarial Robustness in Machine Learning
  • Video Surveillance and Tracking Methods
  • MRI in cancer diagnosis
  • Topic Modeling

Sansone has contributed to several research papers, notably including:

  • Legal Information Retrieval systems: State-of-the-art and open issues (2021), published in Information Systems
  • Transformers in the Real World: A Survey on NLP Applications (2023), published in Information
  • Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach (2022), published in European Radiology
  • A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance (2022), published in IEEE Access
  • DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI (2021), published in Pattern Recognition Letters

Frequent coauthors working alongside Sansone include Stefano Marrone, Michela Gravina, Diego Gragnaniello, Antonio Greco, and Bruno Vento.

The venues where Sansone has most frequently published include Information, Pattern Recognition Letters, Journal of Imaging, Engineering Applications of Artificial Intelligence, and Cancers.

Sansone has contributed to book publications from notable academic publishers:

  • Springer Science+Business Media: Image Analysis and Processing - ICIAP 2022 (2022), Deep Learning Theory and Applications (2023)
  • Centre National de la Recherche Scientifique: 4th International Conference on Deep Learning Theory and Applications (2023)

Best Publications

  • THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION

    Donatello Conte;Pasquale Foggia;Carlo Sansone;Mario Vento

  • A (sub)graph isomorphism algorithm for matching large graphs

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • An Improved Algorithm for Matching Large Graphs

    L. P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

    Marco Castelluccio;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Performance evaluation of the VF graph matching algorithm

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • To reject or not to reject: that is the question-an answer in case of neural classifiers

    C. De Stefano;C. Sansone;M. Vento

  • A Performance Comparison of Five Algorithms for Graph Isomorphism

    P. Foggia;C.Sansone;M. Vento

  • A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection

    Giovanni Chierchia;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • An Investigation of Local Descriptors for Biometric Spoofing Detection

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Transformers in the Real World: A Survey on NLP Applications

    Unknown

  • LivDet iris 2017 — Iris liveness detection competition 2017

    David Yambay;Benedict Becker;Naman Kohli;Daksha Yadav

  • A Database of Graphs for Isomorphism and Sub-Graph Isomorphism Benchmarking

    Pasquale Foggia;C Sansone;Mario Vento

  • A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs

    Horst Bunke;Pasquale Foggia;C. Guidobaldi;Carlo Sansone

  • Fingerprint liveness detection based on Weber Local image Descriptor

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Local contrast phase descriptor for fingerprint liveness detection

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Early classification of network traffic through multi-classification

    Alberto Dainotti;Antonio Pescapé;Carlo Sansone

  • ECG databases for biometric systems

    Mario Merone;Paolo Soda;Mario Sansone;Carlo Sansone

  • Combining perspiration- and morphology-based static features for fingerprint liveness detection

    Emanuela Marasco;Carlo Sansone

  • A large database of graphs and its use for benchmarking graph isomorphism algorithms

    M. De Santo;P. Foggia;C. Sansone;M. Vento

  • Reliability Parameters to Improve Combination Strategies in Multi-Expert Systems

    L. P. Cordella;Pasquale Foggia;C. Sansone;F. Tortorella

  • A neural network approach to instrument fault detection and isolation

    A. Bernieri;G. Betta;A. Pietrosanto;C. Sansone

Frequent Co-Authors

Mario Vento
Mario Vento University of Salerno
Pasquale Foggia
Pasquale Foggia University of Salerno
Luisa Verdoliva
Luisa Verdoliva University of Naples Federico II
Giovanni Poggi
Giovanni Poggi University of Naples Federico II
Antonio Picariello
Antonio Picariello University of Naples Federico II
Vincenzo Moscato
Vincenzo Moscato University of Naples Federico II
Flora Amato
Flora Amato University of Naples Federico II
Davide Cozzolino
Davide Cozzolino University of Naples Federico II
Fabio Roli
Fabio Roli University of Genoa
Antonio Pescape
Antonio Pescape University of Naples Federico II

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