Hauschild, Axel
University Hospital Schleswig-Holstein
15 papers on CoChatORCID 0000-0002-1212-9587
Most cited papers
- Verified
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine
Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management
Cited by 7,720
- Verified
Ipilimumab plus Dacarbazine for Previously Untreated Metastatic Melanoma
Robert, C., Thomas, L., Bondarenko, I., O'Day, S., Weber, J., Garbe, C., Lebbe, C., Baurain, J.-F., Testori, A., Grob, J.-J., et al. (2011) · New England Journal of Medicine
Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management
Cited by 4,496
- Verified
Management of Immune-Related Adverse Events and Kinetics of Response With Ipilimumab
Weber, J. S., Kähler, K. C., & Hauschild, A. (2012) · Journal of Clinical Oncology
Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses
Cited by 1,415
- Verified
Five-year outcomes with dabrafenib plus trametinib in metastatic melanoma
Robert, C., Grob, J. J., Stroyakovskiy, D., Karaszewska, B., Hauschild, A., Levchenko, E., Chiarion Sileni, V., Schachter, J., Garbe, C., Bondarenko, I., et al. (2019) · New England Journal of Medicine
Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management
Cited by 1,389
- Verified
Safety and efficacy of vemurafenib in BRAFV600E and BRAFV600K mutation-positive melanoma (BRIM-3): extended follow-up of a phase 3, randomised, open-label study
McArthur, G. A., Chapman, P. B., Robert, C., Larkin, J., Haanen, J. B., Dummer, R., Ribas, A., Hogg, D., Hamid, O., Ascierto, P. A., et al. (2014) · The Lancet Oncology
Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management
Cited by 977
- Verified
MEK162 for patients with advanced melanoma harbouring NRAS or Val600 BRAF mutations: a non-randomised, open-label phase 2 study.
Ascierto, P. A., Schadendorf, D., Berking, C., Agarwala, S. S., van Herpen, C. M., Queirolo, P., Blank, C. U., Hauschild, A., Beck, J. T., St-Pierre, A., et al. (2013) · The Lancet Oncology
Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management
Cited by 640
- Verified
Deep neural networks are superior to dermatologists in melanoma image classification
Brinker, T. J., Hekler, A., Enk, A. H., Berking, C., Haferkamp, S., Hauschild, A., Weichenthal, M., Klode, J., Schadendorf, D., Holland-Letz, T., et al. (2019) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 415
- Verified
Epidemiology of invasive cutaneous melanoma
MacKie, R. M., Hauschild, A., & Eggermont, A. M. M. (2009) · Annals of Oncology
Cutaneous Melanoma Detection and ManagementMelanoma and MAPK Pathways
Cited by 405
- Verified
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Haggenmüller, S., Maron, R. C., Hekler, A., Utikal, J. S., Barata, C., Barnhill, R. L., Beltraminelli, H., Berking, C., Betz-Stablein, B., Blum, A., et al. (2021) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 267
- Verified
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
Maron, R. C., Weichenthal, M., Utikal, J. S., Hekler, A., Berking, C., Hauschild, A., Enk, A. H., Haferkamp, S., Klode, J., Schadendorf, D., et al. (2019) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 219
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Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective
Jutzi, T. B., Krieghoff-Henning, E. I., Holland-Letz, T., Utikal, J. S., Hauschild, A., Schadendorf, D., Sondermann, W., Fröhling, S., Hekler, A., Schmitt, M., et al. (2020) · Frontiers in Medicine
Cutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education
Cited by 196
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Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark
Brinker, T. J., Hekler, A., Hauschild, A., Berking, C., Schilling, B., Enk, A. H., Haferkamp, S., Karoglan, A., von Kalle, C., Weichenthal, M., et al. (2019) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 157
- Verified
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
Höhn, J., Krieghoff-Henning, E., Jutzi, T. B., von Kalle, C., Utikal, J. S., Meier, F., Gellrich, F. F., Hobelsberger, S., Hauschild, A., Schlager, J. G., et al. (2021) · European Journal of Cancer
AI in cancer detectionCutaneous Melanoma Detection and Management
Cited by 106
- Verified
S2k Guidelines for Cutaneous Basal Cell Carcinoma – Part 1: Epidemiology, Genetics and Diagnosis
Lang, B. M., Balermpas, P., Bauer, A., Blum, A., Brölsch, G. F., Dirschka, T., Follmann, M., Frank, J., Frerich, B., Fritz, K., et al. (2019) · JDDG: Journal der Deutschen Dermatologischen Gesellschaft
Nonmelanoma Skin Cancer StudiesCancer and Skin Lesions
Cited by 68
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Effectiveness and Tolerability of Ipilimumab: Experiences From 198 Patients Included in a Named-Patient Program in Various Daily-Practice Settings and Multiple Institutions
Eigentler, T. K., Schlaak, M., Hassel, J. C., Loquai, C., Stoffels, I., Gutzmer, R., Pätzold, S., Mohr, P., Keller, U., Starz, H., et al. (2014) · Journal of Immunotherapy
Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management
Cited by 23
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