• 24436 Citations
  • 69 h-Index
1988 …2019
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Fingerprint Dive into the research topics where Christof von Kalle is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Genetic Therapy Medicine & Life Sciences
Hematopoietic Stem Cells Medicine & Life Sciences
Genes Medicine & Life Sciences
Gene therapy Chemical Compounds
Stem Cells Medicine & Life Sciences
Genome Medicine & Life Sciences
Neoplasms Medicine & Life Sciences
Insertional Mutagenesis Medicine & Life Sciences

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Research Output 1988 2019

16 Citations (Scopus)
Open Access
Melanoma
Dermatologists
Sensitivity and Specificity
ROC Curve
Learning

Between Minimal and Greater Than Minimal Risk: How Research Participants and Oncologists Assess Data-Sharing and the Risk of Re-identification in Genomic Research

Schleidgen, S., Husedzinovic, A., Ose, D., Schickhardt, C., von Kalle, C. & Winkler, E. C., Mar 15 2019, In : Philosophy and Technology. 32, 1, p. 39-55 17 p.

Research output: Contribution to journalArticle

Disclosure
Physicians
Entity
Governance
Sound
10 Citations (Scopus)

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., Sattler, E., Schadendorf, D., Gaiser, M. R., Klode, J. & Utikal, J. S., Apr 1 2019, In : European Journal of Cancer. 111, p. 30-37 8 p.

Research output: Contribution to journalArticle

Open Access
Benchmarking
Artificial Intelligence
Melanoma
ROC Curve
Sensitivity and Specificity
4 Citations (Scopus)

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., Flaig, M. J., Krahl, D., von Kalle, C., Fröhling, S. & Brinker, T. J., Sep 2019, In : European Journal of Cancer. 118, p. 91-96 6 p.

Research output: Contribution to journalArticle

Open Access
Melanoma
Learning
Sensitivity and Specificity
Nevi and Melanomas
Nevus
12 Citations (Scopus)

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

Collaborators, May 2019, In : European Journal of Cancer. 113, p. 47-54 8 p.

Research output: Contribution to journalArticle

Open Access
Melanoma
Learning
Sensitivity and Specificity
Physicians
Dermatologists