Dermatologist-level classification of skin cancer with deep neural networks A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter, HM Blau, S Thrun nature 542 (7639), 115-118, 2017 | 12478 | 2017 |
Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter, HM Blau, S Thrun Nature 546 (7660), 686-686, 2017 | 222 | 2017 |
Health information management: implications of artificial intelligence on healthcare data and information management MH Stanfill, DT Marc Yearbook of medical informatics 28 (01), 056-064, 2019 | 125 | 2019 |
Automated classification of skin lesions: from pixels to practice A Narla, B Kuprel, K Sarin, R Novoa, J Ko Journal of Investigative Dermatology 138 (10), 2108-2110, 2018 | 109 | 2018 |
Deep networks for early stage skin disease and skin cancer classification A Esteva, B Kuprel, S Thrun Project Report, Stanford University, 2015 | 62 | 2015 |
Skin cancer detection and tracking using data synthesis and deep learning Y Li, A Esteva, B Kuprel, R Novoa, J Ko, S Thrun Workshops at the thirty-first AAAI conference on artificial intelligence, 2017 | 46 | 2017 |
Supervised machine learning in oncology: a clinician's guide N Murali, A Kucukkaya, A Petukhova, J Onofrey, J Chapiro Digestive disease interventions 4 (01), 073-081, 2020 | 19 | 2020 |
Anisotropic inhomogeneous metamaterials using nonuniform transmission-line grids aligned with the principal axes B Kuprel, A Grbic IEEE Antennas and Wireless Propagation Letters 11, 358-361, 2012 | 9 | 2012 |
Judging a movie by its poster using deep learning B Kuprel Standford CS221, 2016 | 4 | 2016 |
Artificial Intelligence in Oncology: Potential and Pitfalls M Gairola Asian Journal of Oncology 5 (02), 041-043, 2019 | 1 | 2019 |
Two Medical Applications of Deep Neural Networks BR Kuprel Stanford University, 2021 | | 2021 |