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Cited by in F6Publishing
For: Maron RC, Schlager JG, Haggenmüller S, von Kalle C, Utikal JS, Meier F, Gellrich FF, Hobelsberger S, Hauschild A, French L, Heinzerling L, Schlaak M, Ghoreschi K, Hilke FJ, Poch G, Heppt MV, Berking C, Haferkamp S, Sondermann W, Schadendorf D, Schilling B, Goebeler M, Krieghoff-Henning E, Hekler A, Fröhling S, Lipka DB, Kather JN, Brinker TJ. A benchmark for neural network robustness in skin cancer classification. Eur J Cancer 2021;155:191-9. [PMID: 34388516 DOI: 10.1016/j.ejca.2021.06.047] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Anaya-isaza A, Mera-jiménez L, Zequera-diaz M. An overview of deep learning in medical imaging. Informatics in Medicine Unlocked 2021;26:100723. [DOI: 10.1016/j.imu.2021.100723] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
2 Kiehl L, Kuntz S, Höhn J, Jutzi T, Krieghoff-Henning E, Kather JN, Holland-Letz T, Kopp-Schneider A, Chang-Claude J, Brobeil A, von Kalle C, Fröhling S, Alwers E, Brenner H, Hoffmeister M, Brinker TJ. Deep learning can predict lymph node status directly from histology in colorectal cancer. Eur J Cancer 2021;157:464-73. [PMID: 34649117 DOI: 10.1016/j.ejca.2021.08.039] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Han SS, Kim YJ, Moon IJ, Jung JM, Lee MY, Lee WJ, Won CH, Lee MW, Kim SH, Navarrete-Dechent C, Chang SE. Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms - a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol 2022:S0022-202X(22)00122-1. [PMID: 35183551 DOI: 10.1016/j.jid.2022.02.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Hauser K, Kurz A, Haggenmüller S, Maron RC, von Kalle C, Utikal JS, Meier F, Hobelsberger S, Gellrich FF, Sergon M, Hauschild A, French LE, Heinzerling L, Schlager JG, Ghoreschi K, Schlaak M, Hilke FJ, Poch G, Kutzner H, Berking C, Heppt MV, Erdmann M, Haferkamp S, Schadendorf D, Sondermann W, Goebeler M, Schilling B, Kather JN, Fröhling S, Lipka DB, Hekler A, Krieghoff-Henning E, Brinker TJ. Explainable artificial intelligence in skin cancer recognition: A systematic review. Eur J Cancer 2022;167:54-69. [PMID: 35390650 DOI: 10.1016/j.ejca.2022.02.025] [Reference Citation Analysis]
5 Brinker TJ, Kiehl L, Schmitt M, Jutzi TB, Krieghoff-Henning EI, Krahl D, Kutzner H, Gholam P, Haferkamp S, Klode J, Schadendorf D, Hekler A, Fröhling S, Kather JN, Haggenmüller S, von Kalle C, Heppt M, Hilke F, Ghoreschi K, Tiemann M, Wehkamp U, Hauschild A, Weichenthal M, Utikal JS. Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours. Eur J Cancer 2021;154:227-34. [PMID: 34298373 DOI: 10.1016/j.ejca.2021.05.026] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
6 Thapar P, Rakhra M, Cazzato G, Hossain MS, Garg D. A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification. Journal of Healthcare Engineering 2022;2022:1-21. [DOI: 10.1155/2022/1709842] [Reference Citation Analysis]