Philipp Tschandl
Medical University of Vienna(AT)
Publications by Year
Research Areas
Cutaneous Melanoma Detection and Management, Nonmelanoma Skin Cancer Studies, AI in cancer detection, Cutaneous lymphoproliferative disorders research, Cell Image Analysis Techniques
Most-Cited Works
- → Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)(2019)984 cited
- → Human–computer collaboration for skin cancer recognition(2020)853 cited
- → Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study(2019)515 cited
- → Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks(2018)323 cited
- → Multimodal skin lesion classification using deep learning(2018)301 cited
- → Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy(2016)301 cited
- → 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 working under less artificial conditions(2020)222 cited
- → Diagnostic accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions(2011)211 cited
- → Accuracy in melanoma detection: A 10-year multicenter survey(2011)203 cited
- → Dermoscopy of Squamous Cell Carcinoma and Keratoacanthoma(2012)183 cited