The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions P Tschandl, C Rosendahl, H Kittler Scientific Data 5, 180161, 2018 | 3094 | 2018 |
Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic) N Codella, V Rotemberg, P Tschandl, ME Celebi, S Dusza, D Gutman, ... arXiv preprint arXiv:1902.03368, 2019 | 1413 | 2019 |
Human–computer collaboration for skin cancer recognition P Tschandl, C Rinner, Z Apalla, G Argenziano, N Codella, A Halpern, ... Nature medicine 26 (8), 1229-1234, 2020 | 699 | 2020 |
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study P Tschandl, N Codella, BN Akay, G Argenziano, RP Braun, H Cabo, ... The lancet oncology 20 (7), 938-947, 2019 | 488 | 2019 |
A patient-centric dataset of images and metadata for identifying melanomas using clinical context V Rotemberg, N Kurtansky, B Betz-Stablein, L Caffery, E Chousakos, ... Scientific data 8 (1), 34, 2021 | 482 | 2021 |
Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy H Kittler, AA Marghoob, G Argenziano, C Carrera, C Curiel-Lewandrowski, ... Journal of the American Academy of Dermatology 74 (6), 1093-1106, 2016 | 335 | 2016 |
Expert-level diagnosis of nonpigmented skin cancer by combined convolutional neural networks P Tschandl, C Rosendahl, BN Akay, G Argenziano, A Blum, RP Braun, ... JAMA dermatology 155 (1), 58-65, 2019 | 306 | 2019 |
Multimodal skin lesion classification using deep learning J Yap, W Yolland, P Tschandl Experimental dermatology 27 (11), 1261-1267, 2018 | 286 | 2018 |
Diagnostic accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions C Rosendahl, P Tschandl, A Cameron, H Kittler Journal of the American academy of dermatology 64 (6), 1068-1073, 2011 | 284 | 2011 |
Dermoscopy of squamous cell carcinoma and keratoacanthoma C Rosendahl, A Cameron, G Argenziano, I Zalaudek, P Tschandl, H Kittler Archives of dermatology 148 (12), 1386-1392, 2012 | 234 | 2012 |
Accuracy in melanoma detection: a 10-year multicenter survey G Argenziano, L Cerroni, I Zalaudek, S Staibano, R Hofmann-Wellenhof, ... Journal of the American Academy of Dermatology 67 (1), 54-59. e1, 2012 | 234 | 2012 |
Dermatoscopy of pigmented Bowen's disease A Cameron, C Rosendahl, P Tschandl, E Riedl, H Kittler Journal of the American Academy of Dermatology 62 (4), 597-604, 2010 | 199 | 2010 |
Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists … HA Haenssle, C Fink, F Toberer, J Winkler, W Stolz, T Deinlein, ... Annals of oncology 31 (1), 137-143, 2020 | 196 | 2020 |
Standardization of dermoscopic terminology and basic dermoscopic parameters to evaluate in general dermatology (non‐neoplastic dermatoses): an expert consensus on behalf of the … E Errichetti, I Zalaudek, H Kittler, Z Apalla, G Argenziano, R Bakos, A Blum, ... British Journal of Dermatology 182 (2), 454-467, 2020 | 151 | 2020 |
Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation P Tschandl, C Sinz, H Kittler Computers in biology and medicine 104, 111-116, 2019 | 136 | 2019 |
Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin C Sinz, P Tschandl, C Rosendahl, BN Akay, G Argenziano, A Blum, ... Journal of the American Academy of Dermatology 77 (6), 1100-1109, 2017 | 136 | 2017 |
Update on dermoscopy of Spitz/Reed naevi and management guidelines by the International Dermoscopy Society A Lallas, Z Apalla, D Ioannides, E Lazaridou, A Kyrgidis, P Broganelli, ... British Journal of Dermatology 177 (3), 645-655, 2017 | 135 | 2017 |
Dermatoscopy of neoplastic skin lesions: recent advances, updates, and revisions P Weber, P Tschandl, C Sinz, H Kittler Current treatment options in oncology 19, 1-17, 2018 | 121 | 2018 |
The BRAAFF checklist: a new dermoscopic algorithm for diagnosing acral melanoma A Lallas, A Kyrgidis, H Koga, E Moscarella, P Tschandl, Z Apalla, ... British Journal of Dermatology 173 (4), 1041-1049, 2015 | 118 | 2015 |
Accuracy of computer-aided diagnosis of melanoma: a meta-analysis V Dick, C Sinz, M Mittlböck, H Kittler, P Tschandl JAMA dermatology 155 (11), 1291-1299, 2019 | 117 | 2019 |