Publications

2021

Höhn J, Krieghoff-Henning E, Jutzi TB, von Kalle C, Utikal JS, Meier F, Gellrich FF, Hobelsberger S, Hauschild A, Schlager JG, French L, Heinzerling L, Schlaak M, Ghoreschi K, Hilke FJ, Poch G, Kutzner H, Heppt MV, Haferkamp S, Sondermann W, Schadendorf D, Schilling B, Goebeler M, Hekler A, Fröhling S, Lipka DB, Kather JN, Krahl D, Ferrara G, Haggenmüller S, Brinker TJ.* Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
European Journal of Cancer. 2021 May 1;149:94–101.

Maron R.C., Hekler A., Krieghoff-Henning E., Schmitt M., Schlager J.G., Utikal J.S., Brinker T.J.* Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study. J Med Internet Res. 2021 Mar 25;23(3): e21695.

Wessels F., Schmitt M., Krieghoff-Henning E., Jutzi T., Worst T.S., Waldbillig F., Neuberger M., Maron R.C., Steeg M., Gaiser T., Hekler A., Utikal J.S., von Kalle C., Fröhling S., Michel M.S., Nuhn P., Brinker T.J.* Deep learning approach to predict lymph node metastasis directly from primary tumor histology in prostate cancer.
BJU Int. 2021 Mar 11.

Brinker T.J.*, Schmitt M., Krieghoff-Henning E.I., Barnhill R., Beltraminelli H., Braun S.A., Carr R., Fernandez-Figueras M.T., Ferrara G., Fraitag S., Gianotti R., Llamas-Velasco M., Müller C.S.L., Perasole A., Requena L., Sangueza O.P., Santonja C., Starz H., Vale E., Weyers W., Hekler A., Kather J.N., Fröhling S., Krahl D., Holland-Letz T., Utikal J.S., Saggini A., Kutzner H. Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists. J Am Acad Dermatol. 2021 Feb 11:S0190-9622(21)00331-5.

Hornung A., Steeb T., Wessely A., Brinker T.J., Breakell T., Erdmann M., Berking C., Heppt M.V.* The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review. Int J Environ Res Public Health. 2021 Feb 10;18(4):1726. Review.

Krause J., Grabsch H.I., Kloor M., Jendrusch M., Echle A., Buelow R.D., Boor P., Luedde T., Brinker T.J., Trautwein C., Pearson A.T., Quirke P., Jenniskens J., Offermans K., van den Brandt P.A., Kather J.N.* Deep learning detects genetic alterations in cancer histology generated by adversarial networks. J Pathol. 2021 Feb 9.

Schmitt M., Maron R.C., Hekler A., Stenzinger A., Hauschild A., Weichenthal M., Tiemann M., Krahl D., Kutzner H., Utikal J.S., Haferkamp S., Kather J.N., Klauschen F., Krieghoff-Henning E., Fröhling S., von Kalle C., Brinker T.J.* Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study. J Med Internet Res. 2021 Feb 2;23(2)

Maron R.C., Haggenmüller S., von Kalle C., Utikal J.S., Meier F., Gellrich F.F., Hauschild A., French L.E., Schlaak M., Ghoreschi K., Kutzner H., Heppt M.V., Haferkamp S., Sondermann W., Schadendorf D., Schilling B., Hekler A., Krieghoff-Henning E., Kather J.N., Fröhling S., Lipka D.B., Brinker T.J.* Robustness of convolutional neural networks in recognition of pigmented skin lesions. Eur J Cancer. 2021 Mar;145:81-91.

Echle A., Rindtorff N.T., Brinker T.J., Luedde T., Pearson A.T., Kather J.N.* Deep learning in cancer pathology: a new generation of clinical biomarkers. Br J Cancer. 2021 Feb;124(4):686-696. Review.

2020

Jakob L., Steeb T., Fiocco Z., Pumnea T., Jakob S.N., Wessely A., Rothenberger C.C., Brinker T.J., French L.E., Berking C., Heppt M.V.* Patient Perception of Mobile Phone Apps for the Care and Prevention of Sexually Transmitted Diseases: Cross-Sectional Study. JMIR Mhealth Uhealth. 2020 Nov 10;8(11)

Kutzner H., Jutzi T.B., Krahl D., Krieghoff-Henning E.I., Heppt M.V., Hekler A., Schmitt M., Maron R.C.R., Fröhling S., von Kalle C., Brinker T.J.* Überdiagnose von Melanomen - Ursachen, Konsequenzen und Lösungsansätze. J Dtsch Dermatol Ges. 2020 Nov;18(11):1236-1244.

Sondermann W.*, von Kalle C., Utikal J.S., Schadendorf D., Esser S., Durani B., Durani H., Jansen M., Brinker T.J. [External scientific evaluation of the first teledermatology app without direct patient contact in Germany (Online Dermatologist-AppDoc)].
Hautarzt. 2020 Nov;71(11):887-897.

Maron RC, Utikal JS, Hekler A, Hauschild A, Sattler E, Sondermann W, Haferkamp S, Schilling B, Heppt MV, Jansen P, Reinholz M, Franklin C, Schmitt L, Hartmann D, Krieghoff-Henning E, Schmitt M, Weichenthal M, von Kalle C, Fröhling S, Brinker TJ. Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study. J Med Internet Res. 2020 Sep 11; 22(9):e18091. doi: 10.2196/18091. PMID: 32915161; PMCID: PMC7519424.

Brinker TJ, Schlager G, French LE, Jutzi T, Kittler H. Computerassistierte Hautkrebsdiagnose : Wann kommt künstliche Intelligenz in der Praxis an? [Computer-assisted skin cancer diagnosis : Is it time for artificial intelligence in clinical practice?]. Hautarzt. 2020 Sep; 71(9):669-676. German. doi: 10.1007/s00105-020-04662-8. PMID: 32747996.

Kutzner H, Jutzi TB, Krahl D, Krieghoff-Henning EI, Heppt MV, Hekler A, Schmitt M, Maron RCR, Fröhling S, von Kalle C, Brinker TJ. Overdiagnosis of melanoma - causes, consequences and solutions. J Dtsch Dermatol Ges. 2020 Aug 25. doi: 10.1111/ddg.14233. Epub ahead of print.

Brinker TJ, Faria BL, de Faria OM, Klode J, Schadendorf D, Utikal JS, Mons U, Krieghoff-Henning E, Lisboa OC, Oliveira ACC, Lino HA, Bernardes-Souza B. Effect of a Face-Aging Mobile App-Based Intervention on Skin Cancer Protection Behavior in Secondary Schools in Brazil: A Cluster-Randomized Clinical Trial. JAMA Dermatol. 2020 Jul 1; 156(7):737-745. doi: 10.1001/jamadermatol.2020.0511. PMID: 32374352; PMCID: PMC7203674.

Jutzi TB, Krieghoff-Henning EI, Holland-Letz T, Utikal JS, Hauschild A, Schadendorf D, Sondermann W, Fröhling S, Hekler A, Schmitt M, Maron RC, Brinker TJ. Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective. Front Med (Lausanne). 2020 Jun 2; 7:233. doi: 10.3389/fmed.2020.00233. PMID: 32671078; PMCID: PMC7326111.

Hekler A, Kather JN, Krieghoff-Henning E, Utikal JS, Meier F, Gellrich FF, Upmeier Zu Belzen J, French L, Schlager JG, Ghoreschi K, Wilhelm T, Kutzner H, Berking C, Heppt MV, Haferkamp S, Sondermann W, Schadendorf D, Schilling B, Izar B, Maron R, Schmitt M, Fröhling S, Lipka DB, Brinker TJ. Effects of Label Noise on Deep Learning-Based Skin Cancer Classification. Front Med (Lausanne). 2020 May 6;7:177. doi: 10.3389/fmed.2020.00177. PMID: 32435646; PMCID: PMC7218064.

2019

Sondermann W, Utikal JS, Enk AH, Schadendorf D, Klode J, Hauschild A, Weichenthal M, French LE, Berking C, Schilling B, Haferkamp S, Fröhling S, von Kalle C, Brinker TJ. Prediction of melanoma evolution in melanocytic nevi via artificial intelligence: A call for prospective data. Eur J Cancer. 2019 Sep;119:30-34. doi: 10.1016/j.ejca.2019.07.009. Epub 2019 Aug 8. Erratum in: Eur J Cancer. 2019 Dec;123:171. PMID: 31401471.

Hekler A, Utikal JS, Enk AH, Hauschild A, Weichenthal M, Maron RC, Berking C, Haferkamp S, Klode J, Schadendorf D, Schilling B, Holland-Letz T, Izar B, von Kalle C, Fröhling S, Brinker TJ; Collaborators. Superior skin cancer classification by the combination of human and artificial intelligence. Eur J Cancer. 2019 Oct; 120:114-121. doi: 10.1016/j.ejca.2019.07.019. Epub 2019 Sep 10. PMID: 31518967.

Brinker TJ, Hekler A, Enk AH, Berking C, Haferkamp S, Hauschild A, Weichenthal M, Klode J, Schadendorf D, Holland-Letz T, von Kalle C, Fröhling S, Schilling B, Utikal JS. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019 Sep; 119:11-17. doi: 10.1016/j.ejca.2019.05.023. Epub 2019 Aug 8. PMID: 31401469.

Maron RC, Weichenthal M, Utikal JS, Hekler A, Berking C, Hauschild A, Enk AH, Haferkamp S, Klode J, Schadendorf D, Jansen P, Holland-Letz T, Schilling B, von Kalle C, Fröhling S, Gaiser MR, Hartmann D, Gesierich A, Kähler KC, Wehkamp U, Karoglan A, Bär C, Brinker TJ; Collabrators. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks. Eur J Cancer. 2019 Sep;119:57-65. doi: 10.1016/j.ejca.2019.06.013. Epub 2019 Aug 14. PMID: 31419752.

Hekler A, Utikal JS, Enk AH, Solass W, Schmitt M, Klode J, Schadendorf D, Sondermann W, Franklin C, Bestvater F, Flaig MJ, Krahl D, von Kalle C, Fröhling S, Brinker TJ. Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images. Eur J Cancer. 2019 Sep; 118:91-96. doi: 10.1016/j.ejca.2019.06.012. Epub 2019 Jul 18. PMID: 31325876.

Brinker TJ, Hekler A, Enk AH, von Kalle C. Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions. PLoS One. 2019 Jun 24; 14(6):e0218713. doi: 10.1371/journal.pone.0218713. PMID: 31233565; PMCID: PMC6590821.

Hekler A, Utikal JS, Enk AH, Berking C, Klode J, Schadendorf D, Jansen P, Franklin C, Holland-Letz T, Krahl D, von Kalle C, Fröhling S, Brinker TJ. Pathologist-level classification of histopathological melanoma images with deep neural networks. Eur J Cancer. 2019 Jul; 115:79-83. doi: 10.1016/j.ejca.2019.04.021. Epub 2019 May 23. PMID: 31129383.

Brinker TJ, Hekler A, Enk AH, Klode J, Hauschild A, Berking C, Schilling B,Haferkamp S, Schadendorf D, Holland-Letz T, Utikal JS, von Kalle C;Collaborators. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. Eur J Cancer. 2019 May; 113:47-54. doi: 10.1016/j.ejca.2019.04.001. Epub 2019 Apr 10. PMID: 30981091.

Brinker TJ, Hekler A, Enk AH, Klode J, Hauschild A, Berking C, Schilling B, Haferkamp S, Schadendorf D, Fröhling S, Utikal JS, von Kalle C; Collaborators. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. Eur J Cancer. 2019 Apr; 111:148-154. doi: 10.1016/j.ejca.2019.02.005. Epub 2019 Mar 8. PMID: 30852421.

Brinker TJ, Hekler A, Hauschild A, Berking C, Schilling B, Enk AH, Haferkamp S, Karoglan A, von Kalle C, Weichenthal M, Sattler E, Schadendorf D, Gaiser MR, Klode J, Utikal JS. Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. Eur J Cancer. 2019 Apr; 111:30-37. doi: 10.1016/j.ejca.2018.12.016. Epub 2019 Feb 22. PMID: 30802784.

2018

Brinker TJ, Hekler A, Utikal JS, Grabe N, Schadendorf D, Klode J, Berking C, Steeb T, Enk AH, von Kalle C. Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. J Med Internet Res. 2018 Oct 17; 20(10):e11936. doi: 10.2196/11936. PMID: 30333097; PMCID: PMC6231861.

 

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