Eva Krieghoff‐Henning

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

2021 · 243 Zit. · European Journal of Cancer

Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective

2020 · 188 Zit. · Frontiers in Medicine

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

2024 · 138 Zit. · Nature Communications

Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

2020 · 88 Zit. · Journal of Medical Internet Research

Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

2021 · 65 Zit. · European Journal of Cancer

Robustness of convolutional neural networks in recognition of pigmented skin lesions

2021 · 58 Zit. · European Journal of Cancer

Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics

2024 · 48 Zit. · JAMA Dermatology

Digital Natives’ Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study

2021 · 34 Zit. · JMIR mhealth and uhealth

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

2023 · 5 Zit. · arXiv (Cornell University)