Thomas, Luc

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

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

Haenssle, H. A., Fink, C., Schneiderbauer, R., Toberer, F., Buhl, T., Blum, A., Kalloo, A., Hassen, A. B. H., Thomas, L., Enk, A., et al. (2018) · Annals of Oncology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 1,571

Ipilimumab monotherapy in patients with pretreated advanced melanoma: a randomised, double-blind, multicentre, phase 2, dose-ranging study

Wolchok, J. D., Neyns, B., Linette, G., Negrier, S., Lutzky, J., Thomas, L., Waterfield, W., Schadendorf, D., Smylie, M., Guthrie, T., et al. (2010) · The Lancet Oncology

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 1,195

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Tschandl, P., Codella, N., Akay, B. N., Argenziano, G., Braun, R. P., Cabo, H., Gutman, D., Halpern, A., Helba, B., Hofmann-Wellenhof, R., et al. (2019) · The Lancet Oncology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 555

Pediatric mastocytosis is a clonal disease associated with D816V and other activating c-KIT mutations

Bodemer, C., Hermine, O., Palmérini, F., Yang, Y., Grandpeix-Guyodo, C., Leventhal, P. S., Hadj-Rabia, S., Nasca, L., Georgin-Lavialle, S., Cohen-Akenine, A., et al. (2010) · Journal of Investigative Dermatology

Mast cells and histamineGastrointestinal Tumor Research and Treatment

Cited by 397

Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition

Winkler, J. K., Fink, C., Toberer, F., Enk, A., Deinlein, T., Hofmann-Wellenhof, R., Thomas, L., Lallas, A., Blum, A., Stolz, W., et al. (2019) · JAMA Dermatology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 365

Semiological value of ABCDE criteria in the diagnosis of cutaneous pigmented tumors

Thomas, L., Tranchand, P., Berard, F., Secchi, T., Colin, C., & Moulin, G. (1998) · Dermatology

Cutaneous Melanoma Detection and Managementmelanin and skin pigmentation

Cited by 195

Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin

Sinz, C., Tschandl, P., Rosendahl, C., Akay, B. N., Argenziano, G., Blum, A., Braun, R. P., Cabo, H., Gourhant, J.-Y., Kreusch, J., et al. (2017) · Journal of the American Academy of Dermatology

Cutaneous Melanoma Detection and ManagementNonmelanoma Skin Cancer Studies

Cited by 127