Enk, Alexander H.
University Hospital Heidelberg
5 papers on CoChatORCID 0000-0002-7358-185X
Most cited papers
- Verified
Deep neural networks are superior to dermatologists in melanoma image classification
Brinker, T. J., Hekler, A., Enk, A. H., Berking, C., Haferkamp, S., Hauschild, A., Weichenthal, M., Klode, J., Schadendorf, D., Holland-Letz, T., et al. (2019) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 415
- Verified
Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition
Winkler, J. K., Fink, C., Toberer, F., Enk, A., Deinlein, T., Hofmann-Wellenhof, R., Thomas, L., Lallas, A., Blum, A., Stolz, W., et al. (2019) · JAMA Dermatology
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 365
- Verified
Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images
Hekler, A., Utikal, J. S., Enk, A. H., Solass, W., Schmitt, M., Klode, J., Schadendorf, D., Sondermann, W., Franklin, C., Bestvater, F., et al. (2019) · European Journal of Cancer
AI in cancer detectionCutaneous Melanoma Detection and Management
Cited by 285
- Verified
Pathologist-level classification of histopathological melanoma images with deep neural networks
Hekler, A., Utikal, J. S., Enk, A. H., Berking, C., Klode, J., Schadendorf, D., Jansen, P., Franklin, C., Holland-Letz, T., Krahl, D., et al. (2019) · European Journal of Cancer
AI in cancer detectionCutaneous Melanoma Detection and Management
Cited by 231
- Verified
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark
Brinker, T. J., Hekler, A., Hauschild, A., Berking, C., Schilling, B., Enk, A. H., Haferkamp, S., Karoglan, A., von Kalle, C., Weichenthal, M., et al. (2019) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 157
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