Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task TJ Brinker, A Hekler, AH Enk, J Klode, A Hauschild, C Berking, B Schilling, ... European Journal of Cancer 113, 47-54, 2019 | 527 | 2019 |
Skin cancer classification using convolutional neural networks: systematic review TJ Brinker, A Hekler, JS Utikal, N Grabe, D Schadendorf, J Klode, ... Journal of medical Internet research 20 (10), e11936, 2018 | 501 | 2018 |
Superior skin cancer classification by the combination of human and artificial intelligence A Hekler, JS Utikal, AH Enk, A Hauschild, M Weichenthal, RC Maron, ... European Journal of Cancer 120, 114-121, 2019 | 372 | 2019 |
Deep neural networks are superior to dermatologists in melanoma image classification TJ Brinker, A Hekler, AH Enk, C Berking, S Haferkamp, A Hauschild, ... European Journal of Cancer 119, 11-17, 2019 | 319 | 2019 |
A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task TJ Brinker, A Hekler, AH Enk, J Klode, A Hauschild, C Berking, B Schilling, ... European Journal of Cancer 111, 148-154, 2019 | 303 | 2019 |
Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images A Hekler, JS Utikal, AH Enk, W Solass, M Schmitt, J Klode, D Schadendorf, ... European Journal of Cancer 118, 91-96, 2019 | 281 | 2019 |
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts S Haggenmüller, RC Maron, A Hekler, JS Utikal, C Barata, RL Barnhill, ... European Journal of Cancer 156, 202-216, 2021 | 240 | 2021 |
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks RC Maron, M Weichenthal, JS Utikal, A Hekler, C Berking, A Hauschild, ... European Journal of Cancer 119, 57-65, 2019 | 234 | 2019 |
Pathologist-level classification of histopathological melanoma images with deep neural networks A Hekler, JS Utikal, AH Enk, C Berking, J Klode, D Schadendorf, P Jansen, ... European Journal of Cancer 115, 79-83, 2019 | 232 | 2019 |
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark TJ Brinker, A Hekler, A Hauschild, C Berking, B Schilling, AH Enk, ... European Journal of Cancer 111, 30-37, 2019 | 145 | 2019 |
Artificial intelligence in skin cancer diagnostics: the patients' perspective TB Jutzi, EI Krieghoff-Henning, T Holland-Letz, JS Utikal, A Hauschild, ... Frontiers in medicine 7, 233, 2020 | 143 | 2020 |
Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review S Kuntz, E Krieghoff-Henning, JN Kather, T Jutzi, J Höhn, L Kiehl, ... European Journal of Cancer 155, 200-215, 2021 | 142 | 2021 |
Explainable artificial intelligence in skin cancer recognition: A systematic review K Hauser, A Kurz, S Haggenmüller, RC Maron, C von Kalle, JS Utikal, ... European Journal of Cancer 167, 54-69, 2022 | 109 | 2022 |
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification J Höhn, E Krieghoff-Henning, TB Jutzi, C von Kalle, JS Utikal, F Meier, ... European journal of cancer 149, 94-101, 2021 | 96 | 2021 |
A benchmark for neural network robustness in skin cancer classification RC Maron, JG Schlager, S Haggenmüller, C von Kalle, JS Utikal, F Meier, ... European Journal of Cancer 155, 191-199, 2021 | 72 | 2021 |
Artificial intelligence and its effect on dermatologists’ accuracy in dermoscopic melanoma image classification: web-based survey study RC Maron, JS Utikal, A Hekler, A Hauschild, E Sattler, W Sondermann, ... Journal of medical Internet research 22 (9), e18091, 2020 | 71 | 2020 |
Teledermatology: comparison of store-and-forward versus live interactive video conferencing TJ Brinker, A Hekler, C Von Kalle, D Schadendorf, S Esser, C Berking, ... Journal of medical Internet research 20 (10), e11871, 2018 | 69 | 2018 |
Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review L Schneider, S Laiouar-Pedari, S Kuntz, E Krieghoff-Henning, A Hekler, ... European journal of cancer 160, 80-91, 2022 | 66 | 2022 |
Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer F Wessels, M Schmitt, E Krieghoff‐Henning, T Jutzi, TS Worst, F Waldbillig, ... BJU international 128 (3), 352-360, 2021 | 57 | 2021 |
Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists TJ Brinker, M Schmitt, EI Krieghoff-Henning, R Barnhill, H Beltraminelli, ... Journal of the American Academy of Dermatology 86 (3), 640-642, 2022 | 56 | 2022 |