University of Salerno

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.

2023 · 403 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 255 Zit.

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen et al.

2023 · 199 Zit.

The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives

Marco Cascella, Federico Semeraro, Jonathan Montomoli et al.

2024 · 195 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 186 Zit.

Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot

Loredana Caruccio, Stefano Cirillo, Giuseppe Polese et al.

2023 · 151 Zit.

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Burak Koçak, Andrea Ponsiglione, Arnaldo Stanzione et al.

2024 · 124 Zit.

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

Gaia Spadarella, Arnaldo Stanzione, Tugba Akinci D’Antonoli et al.

2022 · 112 Zit.

Basic principles and recommendations in clinical and field science research: 2018 update

Johnny Padulo, Francesco Oliva, Antonio Frizziero et al.

2019 · 97 Zit.

Large language models for structured reporting in radiology: past, present, and future

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 89 Zit.

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

Elmar Kotter, Tugba Akinci D’Antonoli, Renato Cuocolo et al.

2025 · 72 Zit.

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation

Michael Yeung, Leonardo Rundo, Nan Yang et al.

2022 · 69 Zit.

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

Leonardo Rundo, Carmelo Militello

2024 · 64 Zit.

Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis

Burak Koçak, Bettina Baeßler, Renato Cuocolo et al.

2023 · 60 Zit.

Artificial intelligence and machine learning in orthopedic surgery: a systematic review protocol

Nicola Maffulli, Hugo C. Rodriguez, Ian W. Stone et al.

2020 · 60 Zit.