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| 1. |
Haggenmüller, Sarah: Federated learning for decentralized artificial intelligence in melanoma diagnostics / Sarah Haggenmüller, MSc, Max Schmitt, MSc, Eva Krieghoff-Henning, PhD, Achim Hekler, MSc, Roman C. M… , February 7, 2024. - 9 S. : Illustrationen
In: JAMA dermatology, ISSN 2168-6084. 160(2024), 3, Seite 303-311
DOI: 10.1001/jamadermatol.2023.5550
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| 2. |
Maron, Roman C.: Model soups improve performance of dermoscopic skin cancer classifiers / Roman C. Maron, Achim Hekler, Sarah Haggenmüller, Christof von Kalle, Jochen S. Utikal, Verena Mülle… , September 2022. - 10 S.
In: European journal of cancer, ISSN 1879-0852. 173(2022), Seite 307-316
DOI: 10.1016/j.ejca.2022.07.002
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| 3. |
Hauser, Katja: Explainable artificial intelligence in skin cancer recognition : a systematic review / Katja Hauser, Alexander Kurz, Sarah Haggenmüller, Roman C. Maron, Christof von Kalle, Jochen S. Utik… , May 2022. - 16 S.
In: European journal of cancer, ISSN 1879-0852. 167(2022), Seite 54-69
DOI: 10.1016/j.ejca.2022.02.025
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| 4. |
Maron, Roman C.: A benchmark for neural network robustness in skin cancer classification / Roman C. Maron, Justin G. Schlager, Sarah Haggenmüller, Christof von Kalle, Jochen S. Utikal, Friede… , 11 August 2021. - 9 S.
In: European journal of cancer, ISSN 1879-0852. 155(2021), Seite 191-199
DOI: 10.1016/j.ejca.2021.06.047
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| 5. |
Haggenmüller, Sarah: Skin cancer classification via convolutional neural networks : systematic review of studies involving human experts / Sarah Haggenmüller, Roman C. Maron, Achim Hekler, Jochen S. Utikal, Catarina Barata, Raymond L. Barn… , 8 September 2021. - 15 S.
In: European journal of cancer, ISSN 1879-0852. 156(2021), Seite 202-216
DOI: 10.1016/j.ejca.2021.06.049
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| 6. |
Maron, Roman C.: Robustness of convolutional neural networks in recognition of pigmented skin lesions / Roman C. Maron, Sarah Haggenmüller, Christof von Kalle, Jochen S. Utikal, Friedegund Meier, Frank F.… , 7 January 2021. - 11 S.
In: European journal of cancer, ISSN 1879-0852. 145(2021), Seite 81-91
DOI: 10.1016/j.ejca.2020.11.020
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| 7. |
Höhn, Julia: Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification / Julia Höhn, Eva Krieghoff-Henning, Tanja B. Jutzi, Christof von Kalle, Jochen S. Utikal, Friedegund … , 7 April 2021. - 8 S.
In: European journal of cancer, ISSN 1879-0852. 149(2021) vom: Mai, Seite 94-101
DOI: 10.1016/j.ejca.2021.02.032
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| 8. |
Hekler, Achim: Effects of label noise on deep learning-based skin cancer classification / Achim Hekler, Jakob N. Kather, Eva Krieghoff-Henning, Jochen S. Utikal, Friedegund Meier, Frank F. G… , 06 May 2020. - 7 S.
In: Frontiers in medicine, ISSN 2296-858X. Bd. 7.2020, Art. 177, insgesamt 7 Seiten
DOI: 10.3389/fmed.2020.00177
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| 9. |
Brinker, Titus Josef: Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours / Titus J. Brinker, Lennard Kiehl, Max Schmitt, Tanja B. Jutzi, Eva I. Krieghoff-Henning, Dieter Krahl… , September 2021. - 8 S.
In: European journal of cancer, ISSN 1879-0852. 154(2021) vom: Sept., Seite 227-234
DOI: 10.1016/j.ejca.2021.05.026
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| 10. |
Schmitt, Max: Hidden variables in deep learning digital pathology and their potential to cause batch effects : prediction model study / Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weich… , February 2021. - 8 S.
In: Journal of medical internet research, ISSN 1438-8871. 23(2021), 2, Artikel-ID e23436, Seite 1-8
DOI: 10.2196/23436
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| 11. |
Schneider, Lucas: Multimodal integration of image, epigenetic and clinical data to predict BRAF mutation status in melanoma / Lucas Schneider, Christoph Wies, Eva I. Krieghoff-Henning, Tabea-Clara Bucher, Jochen S. Utikal, Dir… , April 2023. - 8 S.
In: European journal of cancer, ISSN 1879-0852. 183(2023), Seite 131-138
DOI: 10.1016/j.ejca.2023.01.021
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| 12. |
Brinker, Titus Josef: Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists / Titus J. Brinker, Max Schmitt, Eva I. Krieghoff-Henning, Raymond Barnhill, Helmut Beltraminelli, Ste… , [March 2022]. - 3 S. : Diagramme
In: Journal of the American Academy of Dermatology, ISSN 1097-6787. 86(2022), 3 vom: März, Seite 640-642
DOI: 10.1016/j.jaad.2021.02.009
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| 13. |
Wessels, Frederik: Deep learning can predict survival directly from histology in clear cell renal cell carcinoma / Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Jakob N. Kather, Malin Nientiedt, Maximilian C… , August 17, 2022. - 14 S.
In: PLOS ONE, ISSN 1932-6203. 17(2022), 8, Artikel-ID e0272656, Seite 1-14
DOI: 10.1371/journal.pone.0272656
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| 14. |
Maron, Roman C.: Artificial intelligence and is effect on dermatologists' accuracy in dermoscopic melanoma image classification : web-based survey study / Roman C Maron, MSc; Jochen S Utikal, MD; Achim Hekler, MSc; Axel Hauschild, MD; Elke Sattler, MD; Wi… , 11.09.20. - 9 S.
In: Journal of medical internet research, ISSN 1438-8871. 22(2020), 9, Artikel-ID e18091, Seite 1-9
DOI: 10.2196/18091
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| 15. |
Wessels, Frederik: A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma : original article / Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Malin Nientiedt, Frank Waldbillig, Manuel Neub… , August 2023. - 9 S. : Illustrationen
In: World journal of urology, ISSN 1433-8726. 41(2023), 8 vom: Aug., Seite 2233-2241
DOI: 10.1007/s00345-023-04489-7
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| 16. |
Maron, Roman C.: Reducing the impact of confounding factors on skin cancer classification via image segmentation : technical model study / Roman C Maron, MSc; Achim Hekler, MSc; Eva Krieghoff-Henning, PhD; Max Schmitt, MSc; Justin G Schlag… , 2021. - 10 S.
In: Journal of medical internet research, ISSN 1438-8871. 23(2021), 3, Artikel-ID e21695, Seite 1-10
DOI: 10.2196/21695
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| 17. |
Kuntz, Sara: Gastrointestinal cancer classification and prognostication from histology using deep learning : Systematic review / Sara Kuntz, Eva Krieghoff-Henning, Jakob N. Kather, Tanja Jutzi, Julia Höhn, Lennard Kiehl, Achim He… , 11 August 2021. - 16 S.
In: European journal of cancer, ISSN 1879-0852. 155(2021), Seite 200-215
DOI: 10.1016/j.ejca.2021.07.012
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| 18. |
Jutzi, Tanja: Artificial intelligence in skin cancer diagnostics : the patients' perspective / Tanja B. Jutzi, Eva Krieghoff-Henning, Tim Holland-Letz, Jochen Sven Utikal, Axel Hauschild, Dirk Sc… , 02 June 2020. - 9 S.
In: Frontiers in medicine, ISSN 2296-858X. 7(2020) vom: Juni, Artikel-ID 233, Seite 1-9
DOI: 10.3389/fmed.2020.00233
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| 19. |
Schneider, Lucas: Response to letter entitled: Re: Integration of deep learning-based image analysis and genomic data in cancer pathology : a systematic review / Lucas Schneider, Eva Krieghoff-Henning, Sara Laiouar-Pedari, Sara Kuntz, Achim Hekler, Jakob N. Kath… , 10 August 2022. - 2 S.
In: European journal of cancer, ISSN 1879-0852. 172(2022), Seite 403-404
DOI: 10.1016/j.ejca.2022.06.001
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| 20. |
Kiehl, Lennard: Deep learning can predict lymph node status directly from histology in colorectal cancer / Lennard Kiehl, Sara Kuntz, Julia Höhn, Tanja Jutzi, Eva Krieghoff-Henning, Jakob N. Kather, Tim Holl… , 11 October 2021. - 10 S.
In: European journal of cancer, ISSN 1879-0852. 157(2021), Seite 464-473
DOI: 10.1016/j.ejca.2021.08.039
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