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Citing this Article

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Published on 17.10.18 in Vol 20, No 10 (2018): October

This paper is in the following e-collection/theme issue:

Works citing "Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/11936):

(note that this is only a small subset of citations)

  1. 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, Schmitt L, Peitsch WK, Hoffmann F, Becker JC, Drusio C, Jansen P, Klode J, Lodde G, Sammet S, Schadendorf D, Sondermann W, Ugurel S, Zader J, Enk A, Salzmann M, Schäfer S, Schäkel K, Winkler J, Wölbing P, Asper H, Bohne A, Brown V, Burba B, Deffaa S, Dietrich C, Dietrich M, Drerup KA, Egberts F, Erkens A, Greven S, Harde V, Jost M, Kaeding M, Kosova K, Lischner S, Maagk M, Messinger AL, Metzner M, Motamedi R, Rosenthal A, Seidl U, Stemmermann J, Torz K, Velez JG, Haiduk J, Alter M, Bär C, Bergenthal P, Gerlach A, Holtorf C, Karoglan A, Kindermann S, Kraas L, Felcht M, Gaiser MR, Klemke C, Kurzen H, Leibing T, Müller V, Reinhard RR, Utikal J, Winter F, Berking C, Eicher L, Hartmann D, Heppt M, Kilian K, Krammer S, Lill D, Niesert A, Oppel E, Sattler E, Senner S, Wallmichrath J, Wolff H, Gesierich A, Giner T, Glutsch V, Kerstan A, Presser D, Schrüfer P, Schummer P, Stolze I, Weber J, Drexler K, Haferkamp S, Mickler M, Stauner CT, Thiem A. Superior skin cancer classification by the combination of human and artificial intelligence. European Journal of Cancer 2019;120:114
    CrossRef
  2. de Carvalho TM, Noels E, Wakkee M, Udrea A, Nijsten T. Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise. JMIR Dermatology 2019;2(1):e13376
    CrossRef
  3. 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, Ludwig-Peitsch W, Sirokay J, Heinzerling L, Albrecht M, Baratella K, Bischof L, Chorti E, Dith A, Drusio C, Giese N, Gratsias E, Griewank K, Hallasch S, Hanhart Z, Herz S, Hohaus K, Jansen P, Jockenhöfer F, Kanaki T, Knispel S, Leonhard K, Martaki A, Matei L, Matull J, Olischewski A, Petri M, Placke J, Raub S, Salva K, Schlott S, Sody E, Steingrube N, Stoffels I, Ugurel S, Zaremba A, Gebhardt C, Booken N, Christolouka M, Buder-Bakhaya K, Bokor-Billmann T, Enk A, Gholam P, Hänßle H, Salzmann M, Schäfer S, Schäkel K, Schank T, Bohne A, Deffaa S, Drerup K, Egberts F, Erkens A, Ewald B, Falkvoll S, Gerdes S, Harde V, Hauschild A, Jost M, Kosova K, Messinger L, Metzner M, Morrison K, Motamedi R, Pinczker A, Rosenthal A, Scheller N, Schwarz T, Stölzl D, Thielking F, Tomaschewski E, Wehkamp U, Weichenthal M, Wiedow O, Bär CM, Bender-Säbelkampf S, Horbrügger M, Karoglan A, Kraas L, Faulhaber J, Geraud C, Guo Z, Koch P, Linke M, Maurier N, Müller V, Thomas B, Utikal JS, Alamri ASM, Baczako A, Berking C, Betke M, Haas C, Hartmann D, Heppt MV, Kilian K, Krammer S, Lapczynski NL, Mastnik S, Nasifoglu S, Ruini C, Sattler E, Schlaak M, Wolff H, Achatz B, Bergbreiter A, Drexler K, Ettinger M, Haferkamp S, Halupczok A, Hegemann M, Dinauer V, Maagk M, Mickler M, Philipp B, Wilm A, Wittmann C, Gesierich A, Glutsch V, Kahlert K, Kerstan A, Schilling B, Schrüfer P. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. European Journal of Cancer 2019;113:47
    CrossRef
  4. Mont MA, Krebs VE, Backstein DJ, Browne JA, Mason JB, Taunton MJ, Callaghan JJ. Artificial Intelligence: Influencing Our Lives in Joint Arthroplasty. The Journal of Arthroplasty 2019;34(10):2199
    CrossRef
  5. 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. European Journal of Cancer 2019;118:91
    CrossRef
  6. Shen J, Zhang CJP, Jiang B, Chen J, Song J, Liu Z, He Z, Wong SY, Fang P, Ming W. Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review. JMIR Medical Informatics 2019;7(3):e10010
    CrossRef
  7. 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, Ludwig-Peitsch W, Sirokay J, Heinzerling L, Albrecht M, Baratella K, Bischof L, Chorti E, Dith A, Drusio C, Giese N, Gratsias E, Griewank K, Hallasch S, Hanhart Z, Herz S, Hohaus K, Jansen P, Jockenhöfer F, Kanaki T, Knispel S, Leonhard K, Martaki A, Matei L, Matull J, Olischewski A, Petri M, Placke J, Raub S, Salva K, Schlott S, Sody E, Steingrube N, Stoffels I, Ugurel S, Sondermann W, Zaremba A, Gebhardt C, Booken N, Christolouka M, Buder-Bakhaya K, Bokor-Billmann T, Enk A, Gholam P, Hänßle H, Salzmann M, Schäfer S, Schäkel K, Schank T, Bohne A, Deffaa S, Drerup K, Egberts F, Erkens A, Ewald B, Falkvoll S, Gerdes S, Harde V, Hauschild A, Jost M, Kosova K, Messinger L, Metzner M, Morrison K, Motamedi R, Pinczker A, Rosenthal A, Scheller N, Schwarz T, Stölzl D, Thielking F, Tomaschewski E, Wehkamp U, Weichenthal M, Wiedow O, Bär CM, Bender-Säbelkampf S, Horbrügger M, Karoglan A, Kraas L, Faulhaber J, Geraud C, Guo Z, Koch P, Linke M, Maurier N, Müller V, Thomas B, Utikal JS, Alamri ASM, Baczako A, Berking C, Betke M, Haas C, Hartmann D, Heppt MV, Kilian K, Krammer S, Lapczynski NL, Mastnik S, Nasifoglu S, Ruini C, Sattler E, Schlaak M, Wolff H, Achatz B, Bergbreiter A, Drexler K, Ettinger M, Haferkamp S, Halupczok A, Hegemann M, Dinauer V, Maagk M, Mickler M, Philipp B, Wilm A, Wittmann C, Gesierich A, Glutsch V, Kahlert K, Kerstan A, Schilling B, Schrüfer P. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal of Cancer 2019;111:148
    CrossRef
  8. 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. European Journal of Cancer 2019;111:30
    CrossRef
  9. 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, Schmitt L, Peitsch WK, Hoffmann F, Becker JC, Drusio C, Jansen P, Klode J, Lodde G, Sammet S, Schadendorf D, Sondermann W, Ugurel S, Zader J, Enk A, Salzmann M, Schäfer S, Schäkel K, Winkler J, Wölbing P, Asper H, Bohne A, Brown V, Burba B, Deffaa S, Dietrich C, Dietrich M, Drerup KA, Egberts F, Erkens A, Greven S, Harde V, Jost M, Kaeding M, Kosova K, Lischner S, Maagk M, Messinger AL, Metzner M, Motamedi R, Rosenthal A, Seidl U, Stemmermann J, Torz K, Velez JG, Haiduk J, Alter M, Bär C, Bergenthal P, Gerlach A, Holtorf C, Karoglan A, Kindermann S, Kraas L, Felcht M, Gaiser MR, Klemke C, Kurzen H, Leibing T, Müller V, Reinhard RR, Utikal J, Winter F, Berking C, Eicher L, Hartmann D, Heppt M, Kilian K, Krammer S, Lill D, Niesert A, Oppel E, Sattler E, Senner S, Wallmichrath J, Wolff H, Giner T, Glutsch V, Kerstan A, Presser D, Schrüfer P, Schummer P, Stolze I, Weber J, Drexler K, Haferkamp S, Mickler M, Stauner CT, Thiem A. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks. European Journal of Cancer 2019;119:57
    CrossRef
  10. 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. European Journal of Cancer 2019;115:79
    CrossRef
  11. Ashfaq M, Minallah N, Ullah Z, Ahmad AM, Saeed A, Hafeez A. Performance Analysis of Low-Level and High-Level Intuitive Features for Melanoma Detection. Electronics 2019;8(6):672
    CrossRef
  12. Winkler JK, Fink C, Toberer F, Enk A, Deinlein T, Hofmann-Wellenhof R, Thomas L, Lallas A, Blum A, Stolz W, Haenssle HA. Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition. JAMA Dermatology 2019;155(10):1135
    CrossRef
  13. Winkler JK, Fink C, Toberer F, Enk A, Hänßle HA. Melanomdiagnose mithilfe künstlicher Intelligenz. hautnah dermatologie 2019;35(2):38
    CrossRef
  14. Dzobo K, Adotey S, Thomford NE, Dzobo W. Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine. OMICS: A Journal of Integrative Biology 2019;
    CrossRef
  15. Hogarty DT, Su JC, Phan K, Attia M, Hossny M, Nahavandi S, Lenane P, Moloney FJ, Yazdabadi A. Artificial Intelligence in Dermatology—Where We Are and the Way to the Future: A Review. American Journal of Clinical Dermatology 2019;
    CrossRef
  16. Peine A, Hallawa A, Schöffski O, Dartmann G, Fazlic LB, Schmeink A, Marx G, Martin L. A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study. JMIR Medical Informatics 2019;7(4):e14806
    CrossRef
  17. Triantafyllidis AK, Tsanas A. Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature. Journal of Medical Internet Research 2019;21(4):e12286
    CrossRef
  18. Brinker TJ, Hekler A, Enk AH, von Kalle C, Huynh DQ. Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions. PLOS ONE 2019;14(6):e0218713
    CrossRef
  19. Reiter O, Rotemberg V, Kose K, Halpern AC. Artificial Intelligence in Skin Cancer. Current Dermatology Reports 2019;8(3):133
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/11936)

:
  1. El-khatib H, Popescu D, Ichim L. Advances in Computational Intelligence. 2019. Chapter 32:377
    CrossRef
  2. Young K, Booth G, Simpson B, Dutton R, Shrapnel S. Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support. 2019. Chapter 6:48
    CrossRef
  3. Aldwgeri A, Abubacker NF. Advances in Visual Informatics. 2019. Chapter 20:214
    CrossRef