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National Research Council

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

AI applications to medical images: From machine learning to deep learning

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2021 · 669 Zit.

Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence

Mario Coccia

2019 · 231 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 219 Zit.

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation

Bernardo Camajori Tedeschini, Stefano Savazzi, Roman Stoklasa et al.

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Data Sharing Under the General Data Protection Regulation

Antonia Vlahou, Dara Hallinan, Rolf Apweiler et al.

2021 · 121 Zit.

Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems

Cecilia Panigutti, Andrea Beretta, Fosca Giannotti et al.

2022 · 112 Zit.

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Michele Avanzo, M. Porzio, Leda Lorenzon et al.

2021 · 92 Zit.

Artificial intelligence applied on chest X-ray can aid in the diagnosis of COVID-19 infection: a first experience from Lombardy, Italy

Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi et al.

2020 · 85 Zit.

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi et al.

2021 · 85 Zit.

Image biomarkers and explainable AI: handcrafted features versus deep learned features

Leonardo Rundo, Carmelo Militello

2024 · 51 Zit.

An alternative to plaster cast treatment in a pediatric trauma center using the CAD/CAM technology to manufacture customized three-dimensional-printed orthoses in a totally hospital context: a feasibility study

Pasquale Guida, Antonio Casaburi, Teresa Busiello et al.

2019 · 49 Zit.

Shallow and deep learning classifiers in medical image analysis

Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio et al.

2024 · 47 Zit.

Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images

Alessandro Stefano, Albert Comelli

2021 · 45 Zit.

Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features

Francesco Prinzi, Carmelo Militello, Nicola Scichilone et al.

2023 · 36 Zit.

Artificial Intelligence and liver: Opportunities and barriers

Clara Balsano, Patrizia Burra, Christophe Duvoux et al.

2023 · 35 Zit.