| 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 | 2830 | 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 | 1277 | 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 | 643 | 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 | 467 | 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 | 435 | 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 | 319 | 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 | 287 | 2019 |
| 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 | 278 | 2011 |
| Multimodal skin lesion classification using deep learning J Yap, W Yolland, P Tschandl Experimental dermatology 27 (11), 1261-1267, 2018 | 266 | 2018 |
| 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 | 229 | 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 | 228 | 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 | 193 | 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 | 191 | 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 | 146 | 2020 |
| 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 | 134 | 2017 |
| 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 | 133 | 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 | 131 | 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 | 114 | 2018 |
| 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 | 111 | 2019 |
| Dermatoscopy: an algorithmic method based on pattern analysis H Kittler, C Rosendahl, A Cameron, P Tschandl facultas, 2016 | 108 | 2016 |
Harald KittlerMedical University of Vienna, AustriaBestätigte E-Mail-Adresse bei meduniwien.ac.at
