OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 03.05.2026, 00:18

Holger A. Haenssle

241 Arbeiten5.806 Zitationen

Heidelberg University · DE

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

2018 · 1.527 Zit. · Annals of Oncology

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

2019 · 358 Zit. · JAMA Dermatology

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

2021 · 240 Zit. · European Journal of Cancer

Assessment of Diagnostic Performance of Dermatologists Cooperating With a Convolutional Neural Network in a Prospective Clinical Study

2023 · 82 Zit. · JAMA Dermatology

Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition

2021 · 35 Zit. · European Journal of Cancer

Patient acceptance and trust in automated computer‐assisted diagnosis of melanoma with dermatofluoroscopy

2018 · 27 Zit. · JDDG Journal der Deutschen Dermatologischen Gesellschaft

Collective human intelligence outperforms artificial intelligence in a skin lesion classification task

2021 · 23 Zit. · JDDG Journal der Deutschen Dermatologischen Gesellschaft

[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].

2020 · 9 Zit. · PubMed

Identifying melanoma among benign simulators – Is there a role for deep learning convolutional neural networks? (MelSim Study)

2025 · 2 Zit. · European Journal of Cancer

204P Comparative analysis of a multiclass convolutional neural network and 96 dermatologists in skin lesion diagnosis: Findings from an international web-based study

2025 · 0 Zit. · ESMO Real World Data and Digital Oncology

272P A multicenter study on human-machine interaction: Can CNN-support boost clinical decision-making in rare skin tumors?

2025 · 0 Zit. · ESMO Real World Data and Digital Oncology