| 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 | 441 | 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 | 414 | 2018 |
| Deep learning in cancer pathology: a new generation of clinical biomarkers A Echle, NT Rindtorff, TJ Brinker, T Luedde, AT Pearson, JN Kather British journal of cancer 124 (4), 686-696, 2021 | 400 | 2021 |
| A single-cell landscape of high-grade serous ovarian cancer B Izar, I Tirosh, EH Stover, I Wakiro, MS Cuoco, I Alter, C Rodman, ... Nature medicine 26 (8), 1271-1279, 2020 | 304 | 2020 |
| 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 | 289 | 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 | 262 | 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 | 253 | 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 | 237 | 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 | 200 | 2019 |
| 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 | 196 | 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 | 165 | 2021 |
| 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 | 129 | 2019 |
| Swarm learning for decentralized artificial intelligence in cancer histopathology OL Saldanha, P Quirke, NP West, JA James, MB Loughrey, HI Grabsch, ... Nature medicine 28 (6), 1232-1239, 2022 | 107 | 2022 |
| 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 | 104 | 2020 |
| Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology NG Laleh, HS Muti, CML Loeffler, A Echle, OL Saldanha, F Mahmood, ... Medical image analysis 79, 102474, 2022 | 96 | 2022 |
| 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 | 93 | 2021 |
| 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 | 78 | 2021 |
| Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application A Echle, NG Laleh, P Quirke, HI Grabsch, HS Muti, OL Saldanha, ... ESMO open 7 (2), 100400, 2022 | 64 | 2022 |
| Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology PL Schrammen, N Ghaffari Laleh, A Echle, D Truhn, V Schulz, TJ Brinker, ... The Journal of pathology 256 (1), 50-60, 2022 | 62 | 2022 |
| 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 | 57 | 2022 |
Dirk SchadendorfProfessor für Dermatologie, University Hospital Essen; University of Duisburg-EssenVerified email at uk-essen.de
