Karim Lekadir
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
2024 · 541 Zit. · Advanced Intelligent Systems
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
2025 · 274 Zit. · BMJ
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
2021 · 140 Zit. · Physica Medica
Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models
2023 · 91 Zit. · Circulation Cardiovascular Imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
2022 · 75 Zit. · Medical Image Analysis
Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects
2023 · 75 Zit. · European Radiology Experimental
To do no harm — and the most good — with AI in health care
2024 · 69 Zit. · Nature Medicine
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
2023 · 47 Zit. · Scientific Reports
A review of evaluation approaches for explainable AI with applications in cardiology
2024 · 45 Zit. · Artificial Intelligence Review
medigan: a Python library of pretrained generative models for medical image synthesis
2023 · 41 Zit. · Journal of Medical Imaging
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
2023 · 38 Zit. · arXiv (Cornell University)
Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging
2022 · 34 Zit. · Frontiers in Cardiovascular Medicine
Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper
2022 · 32 Zit. · Insights into Imaging
Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop
2025 · 22 Zit. · Journal of Medical Internet Research
Documenting the de-identification process of clinical and imaging data for AI for health imaging projects
2024 · 18 Zit. · Insights into Imaging