George D. Kitas

The present and future of deep learning in radiology

2019 · 336 Zit. · European Journal of Radiology

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

2022 · 311 Zit. · Healthcare

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

2024 · 116 Zit. · EClinicalMedicine

Plagiarism in the Context of Education and Evolving Detection Strategies

2017 · 115 Zit. · Journal of Korean Medical Science

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

2022 · 81 Zit. · Computers in Biology and Medicine

Self-correction in biomedical publications and the scientific impact

2014 · 70 Zit. · Croatian Medical Journal

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

2021 · 64 Zit. · International Journal of Computer Assisted Radiology and Surgery

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

2022 · 58 Zit. · Diagnostics

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence

2020 · 36 Zit. · Reviews in Cardiovascular Medicine

Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework

2023 · 5 Zit. · Research Square