World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6430
World Ranking
9334
National Ranking
267

Overview

Giuseppe De Pietro is affiliated with the National Research Council (CNR) in Italy, where they focus on research that intersects computer science and medicine. Their work primarily explores applications of artificial intelligence in healthcare, supported by a substantial body of publications across multiple subfields.

Their research spans the main fields of Computer Science, with 90 publications, and Medicine, comprising 52 publications. Subfields include Artificial Intelligence (65 publications), Radiology, Nuclear Medicine and Imaging (13), Computer Vision and Pattern Recognition (10), Rehabilitation (8), and Pulmonary and Respiratory Medicine (5).

Key topics in Giuseppe De Pietro's body of research include:

  • Topic Modeling
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Natural Language Processing Techniques
  • Stroke Rehabilitation and Recovery
  • Quantum Computing Algorithms and Architecture
  • Machine Learning in Healthcare

They have published recent papers covering a range of healthcare and AI applications, such as:

  • Ethical and regulatory challenges of AI technologies in healthcare: A narrative review, 2024, Heliyon
  • Reinforcement learning for intelligent healthcare applications: A survey, 2020, Artificial Intelligence in Medicine
  • Virtual reality and music therapy as distraction interventions to alleviate anxiety and improve mood states in breast cancer patients during chemotherapy, 2020, Journal of Cellular Physiology
  • BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images, 2022, Database
  • Blockchain Applications in Sustainable Smart Cities, 2023, Sustainable Cities and Society

Frequent coauthors of Giuseppe De Pietro include Massimo Esposito (34 joint publications), Hamido Fujita (13), Raffaele Guarasci (11), Nadia Brancati (10), and Ciro Mennella (9).

The researcher's work has been published repeatedly in several academic venues, highlighting consistent contributions to the fields of artificial intelligence and biomedical applications. Such venues include:

  • IEEE Access (9 publications)
  • Computers in Biology and Medicine (5)
  • Applied Sciences (4)
  • Sensors (3)
  • Quantum Machine Intelligence (3)

Best Publications

  • Virtual Reality as a Distraction Intervention to Relieve Pain and Distress During Medical Procedures: A Comprehensive Literature Review

    Paola Indovina;Paola Indovina;Daniela Barone;Luigi Gallo;Andrea Chirico;Andrea Chirico

  • A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease

    Seyedamin Pouriyeh;Sara Vahid;Giovanna Sannino;Giuseppe De Pietro

  • Reinforcement learning for intelligent healthcare applications: A survey.

    Antonio Coronato;Muddasar Naeem;Giuseppe De Pietro;Giovanni Paragliola

  • Voice Disorder Identification by Using Machine Learning Techniques

    Laura Verde;Giuseppe De Pietro;Giovanna Sannino

  • Deep neural network for hierarchical extreme multi-label text classification

    Francesco Gargiulo;Stefano Silvestri;Stefano Silvestri;Mario Ciampi;Giuseppe De Pietro

  • Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering

    Massimo Esposito;Emanuele Damiano;Aniello Minutolo;Giuseppe De Pietro

  • BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

    Nadia Brancati;Anna Maria Anniciello;Pushpak Pati;Daniel Riccio

  • Hierarchical graph representations in digital pathology

    Pushpak Pati;Guillaume Jaume;Antonio Foncubierta-Rodríguez;Florinda Feroce

  • 3D interaction with volumetric medical data: experiencing the Wiimote

    Luigi Gallo;Giuseppe De Pietro;Ivana Marra

  • A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images

    Nadia Brancati;Giuseppe De Pietro;Maria Frucci;Daniel Riccio

  • A revised scheme for real time ECG Signal denoising based on recursive filtering

    Unknown

  • Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis

    Laura Verde;Giuseppe De Pietro;Ahmed Ghoneim;Mubarak Alrashoud

  • A new database of healthy and pathological voices

    Ugo Cesari;Giuseppe De Pietro;Elio Marciano;Ciro Niri

  • Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set.

    Rosario Catelli;Rosario Catelli;Francesco Gargiulo;Valentina Casola;Giuseppe De Pietro

  • Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems

    Unknown

  • Intelligent Interactive Multimedia Systems and Services

    Ernesto Damiani;Robert J. Howlett;Lakhmi C. Jain;Luigi Gallo

  • A smart mobile, self-configuring, context-aware architecture for personal health monitoring

    Massimo Esposito;Aniello Minutolo;Rosario Megna;Manolo Forastiere

  • Heuristic strategies for assessing wireless sensor network resiliency: an event-based formal approach

    Alessandro Testa;Marcello Cinque;Antonio Coronato;Giuseppe Pietro

  • Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification

    Rosario Catelli;Rosario Catelli;Valentina Casola;Giuseppe De Pietro;Hamido Fujita;Hamido Fujita;Hamido Fujita

  • A wavelet-based algorithm for multimodal medical image fusion

    Bruno Alfano;Mario Ciampi;Giuseppe De Pietro

  • MiPeG: A middleware infrastructure for pervasive grids

    Antonio Coronato;Giuseppe De Pietro

  • Formal specification of wireless and pervasive healthcare applications

    Antonio Coronato;Giuseppe De Pietro

  • Designing rule-based fuzzy systems for classification in medicine

    Marco Pota;Massimo Esposito;Giuseppe De Pietro

  • Transforming probability distributions into membership functions of fuzzy classes: A hypothesis test approach

    Marco Pota;Massimo Esposito;Giuseppe De Pietro

  • HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

    Pushpak Pati;Guillaume Jaume;Lauren Alisha Fernandes;Antonio Foncubierta

  • Hierarchical Graph Representations in Digital Pathology

    Pushpak Pati;Guillaume Jaume;Antonio Foncubierta;Florinda Feroce

Frequent Co-Authors

Hamido Fujita
Hamido Fujita University of Technology Malaysia
Gerardo Botti
Gerardo Botti Istituto Giannina Gaslini
Antonio Giordano
Antonio Giordano Temple University
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Ernesto Damiani
Ernesto Damiani Khalifa University
Hamid R. Arabnia
Hamid R. Arabnia University of Georgia
Fabio Lucidi
Fabio Lucidi Sapienza University of Rome
Jitender S. Deogun
Jitender S. Deogun University of Nebraska–Lincoln
Tania Giovannetti
Tania Giovannetti Temple University
Han-Chieh Chao
Han-Chieh Chao Fo Guang University

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