Schadendorf, Dirk

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

Evaluation of two dosing regimens for nivolumab in combination with ipilimumab in patients with advanced melanoma: results from the phase IIIb/IV CheckMate 511 trial

Lebbé, C., Meyer, N., Mortier, L., Marquez-Rodas, I., Robert, C., Rutkowski, P., Menzies, A. M., Eigentler, T., Ascierto, P. A., Smylie, M., et al. (2019) · Journal of Clinical Oncology

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 408

Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics

Ding, L., Bailey, M. H., Porta-Pardo, E., Thorsson, V., Colaprico, A., Bertrand, D., Gibbs, D. L., Weerasinghe, A., Huang, K.-L., Tokheim, C., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 399

RETRACTED ARTICLE: sFRP2 in the aged microenvironment drives melanoma metastasis and therapy resistance

Kaur, A., Webster, M. R., Marchbank, K., Behera, R., Ndoye, A., Kugel, C. H., Dang, V. M., Appleton, J., O’Connell, M. P., Cheng, P., et al. (2016) · Nature

Melanoma and MAPK PathwaysWnt/β-catenin signaling in development and cancer

Cited by 398

Myeloid Cells and Related Chronic Inflammatory Factors as Novel Predictive Markers in Melanoma Treatment with Ipilimumab

Gebhardt, C., Sevko, A., Jiang, H., Lichtenberger, R., Reith, M., Tarnanidis, K., Holland-Letz, T., Umansky, L., Beckhove, P., Sucker, A., et al. (2015) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersImmune cells in cancer

Cited by 367

Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations

Kugel, C. H., Douglass, S. M., Webster, M. R., Kaur, A., Liu, Q., Yin, X., Weiss, S. A., Darvishian, F., Al-Rohil, R. N., Ndoye, A., et al. (2018) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 367

Survival Outcomes in Patients With Previously Untreated BRAF Wild-Type Advanced Melanoma Treated With Nivolumab Therapy: Three-Year Follow-up of a Randomized Phase 3 Trial

Ascierto, P. A., Long, G. V., Robert, C., Brady, B., Dutriaux, C., Di Giacomo, A. M., Mortier, L., Hassel, J. C., Rutkowski, P., McNeil, C., et al. (2019) · JAMA Oncology

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 352

NCRs and DNAM-1 mediate NK cell recognition and lysis of human and mouse melanoma cell lines in vitro and in vivo

Lakshmikanth, T., Burke, S., Ali, T. H., Kimpfler, S., Ursini, F., Ruggeri, L., Capanni, M., Umansky, V., Paschen, A., Sucker, A., et al. (2009) · Journal of Clinical Investigation

Immune Cell Function and InteractionImmunotherapy and Immune Responses

Cited by 347

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

Hekler, A., Utikal, J. S., Enk, A. H., Solass, W., Schmitt, M., Klode, J., Schadendorf, D., Sondermann, W., Franklin, C., Bestvater, F., et al. (2019) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 285

Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer

Akdemir, K. C., Le, V. T., Chandran, S., Li, Y., Verhaak, R. G., Beroukhim, R., Campbell, P. J., Chin, L., Dixon, J. R., Futreal, P. A., et al. (2020) · Nature Genetics

Genomics and Chromatin DynamicsChromatin Remodeling and Cancer

Cited by 283

Multimodal pooled Perturb-CITE-seq screens in patient models define mechanisms of cancer immune evasion

Frangieh, C. J., Melms, J. C., Thakore, P. I., Geiger-Schuller, K. R., Ho, P., Luoma, A. M., Cleary, B., Jerby-Arnon, L., Malu, S., Cuoco, M. S., et al. (2021) · Nature Genetics

Cancer Immunotherapy and BiomarkersSingle-cell and spatial transcriptomics

Cited by 276

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

Pathologist-level classification of histopathological melanoma images with deep neural networks

Hekler, A., Utikal, J. S., Enk, A. H., Berking, C., Klode, J., Schadendorf, D., Jansen, P., Franklin, C., Holland-Letz, T., Krahl, D., et al. (2019) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 231

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

Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

Martens, A., Wistuba-Hamprecht, K., Yuan, J., Postow, M. A., Wong, P., Capone, M., Madonna, G., Khammari, A., Schilling, B., Sucker, A., et al. (2016) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 180

Genetic evolution of T-cell resistance in the course of melanoma progression

Sucker, A., Zhao, F., Real, B., Heeke, C., Bielefeld, N., Maβen, S., Horn, S., Moll, I., Maltaner, R., Horn, P. A., et al. (2014) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 171

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

Relatlimab (RELA) plus nivolumab (NIVO) versus NIVO in first-line advanced melanoma: Primary phase III results from RELATIVITY-047 (CA224-047).

Lipson, E. J., Tawbi, H. A.-H., Schadendorf, D., Ascierto, P. A., Matamala, L., Gutiérrez, E. C., Rutkowski, P., Gogas, H., Lao, C. D., Janoski de Menezes, J., et al. (2021) · Journal of Clinical Oncology

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 150

Peripheral CD8 effector-memory type 1 T-cells correlate with outcome in ipilimumab-treated stage IV melanoma patients

Wistuba-Hamprecht, K., Martens, A., Heubach, F., Romano, E., Geukes Foppen, M., Yuan, J., Postow, M., Wong, P., Mallardo, D., Schilling, B., et al. (2017) · European Journal of Cancer

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 108

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

Circulating tumour DNA in patients with advanced melanoma treated with dabrafenib or dabrafenib plus trametinib: a clinical validation study

Syeda, M. M., Wiggins, J. M., Corless, B. C., Long, G. V., Flaherty, K. T., Schadendorf, D., Nathan, P. D., Robert, C., Ribas, A., Davies, M. A., et al. (2021) · The Lancet Oncology

Melanoma and MAPK PathwaysCancer Genomics and Diagnostics

Cited by 101

COVID-19-Related Fear and Health-Related Safety Behavior in Oncological Patients

Musche, V., Bäuerle, A., Steinbach, J., Schweda, A., Hetkamp, M., Weismüller, B., Kohler, H., Beckmann, M., Herrmann, K., Tewes, M., et al. (2020) · Frontiers in Psychology

COVID-19 and Mental HealthCOVID-19 and healthcare impacts

Cited by 99

Impact of the CCR5 gene polymorphism on the survival of metastatic melanoma patients receiving immunotherapy

Ugurel, S., Schrama, D., Keller, G., Schadendorf, D., Bröcker, E.-B., Houben, R., Zapatka, M., Fink, W., Kaufman, H. L., & Becker, J. C. (2008) · Cancer Immunology, Immunotherapy

Chemokine receptors and signalingCutaneous Melanoma Detection and Management

Cited by 88

Investigation of adhesion of modern wound dressings: a comparative analysis of 56 different wound dressings

Klode, J., Schöttler, L., Stoffels, I., Körber, A., Schadendorf, D., & Dissemond, J. (2011) · Journal of the European Academy of Dermatology and Venereology

Wound Healing and TreatmentsSurgical Sutures and Adhesives

Cited by 73