| 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 | 1402 | 2019 |
| Bcn20000: Dermoscopic lesions in the wild M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ... arXiv preprint arXiv:1908.02288, 2019 | 564 | 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 | 480 | 2021 |
| Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review R Daneshjou, MP Smith, MD Sun, V Rotemberg, J Zou JAMA dermatology 157 (11), 1362-1369, 2021 | 226 | 2021 |
| Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts S Haggenmüller, RC Maron, A Hekler, JS Utikal, C Barata, RL Barnhill, ... European Journal of Cancer 156, 202-216, 2021 | 222 | 2021 |
| Disparities in dermatology AI performance on a diverse, curated clinical image set R Daneshjou, K Vodrahalli, RA Novoa, M Jenkins, W Liang, V Rotemberg, ... Science advances 8 (31), eabq6147, 2022 | 210 | 2022 |
| Sebaceous carcinoma: evidence-based clinical practice guidelines JL Owen, N Kibbi, B Worley, RC Kelm, JV Wang, CA Barker, R Behshad, ... The lancet oncology 20 (12), e699-e714, 2019 | 178 | 2019 |
| Large language models propagate race-based medicine JA Omiye, JC Lester, S Spichak, V Rotemberg, R Daneshjou NPJ Digital Medicine 6 (1), 195, 2023 | 168 | 2023 |
| Activating mutations in CSF1R and additional receptor tyrosine kinases in histiocytic neoplasms BH Durham, E Lopez Rodrigo, J Picarsic, D Abramson, V Rotemberg, ... Nature medicine 25 (12), 1839-1842, 2019 | 168 | 2019 |
| Improving the robustness of time-of-flight based shear wave speed reconstruction methods using RANSAC in human liver in vivo MH Wang, ML Palmeri, VM Rotemberg, NC Rouze, KR Nightingale Ultrasound in medicine & biology 36 (5), 802-813, 2010 | 145 | 2010 |
| Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR derm consensus guidelines from the international skin imaging collaboration … R Daneshjou, C Barata, B Betz-Stablein, ME Celebi, N Codella, ... JAMA dermatology 158 (1), 90-96, 2022 | 103 | 2022 |
| Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge M Combalia, N Codella, V Rotemberg, C Carrera, S Dusza, D Gutman, ... The Lancet Digital Health 4 (5), e330-e339, 2022 | 90 | 2022 |
| Ultrasound methods, systems and computer program products for imaging contrasting objects using combined images ML Palmeri, V Rotemberg, SJ Rosenzweig, KR Nightingale US Patent 8,398,549, 2013 | 79 | 2013 |
| Use of “natural” oils for moisturization: Review of olive, coconut, and sunflower seed oil TK Karagounis, JK Gittler, V Rotemberg, KD Morel Pediatric Dermatology 36 (1), 9-15, 2019 | 75 | 2019 |
| Changes in shear wave speed pre‐and post‐induction of labor: a feasibility study LC Carlson, ST Romero, ML Palmeri, A Muñoz del Rio, SM Esplin, ... Ultrasound in Obstetrics & Gynecology 46 (1), 93-98, 2015 | 75 | 2015 |
| Eosinophilic fasciitis following checkpoint inhibitor therapy: four cases and a review of literature KK Chan, C Magro, A Shoushtari, C Rudin, V Rotemberg, A Rossi, ... The oncologist 25 (2), 140-149, 2020 | 52 | 2020 |
| An epidemiologic analysis of melanoma overdiagnosis in the United States, 1975–2017 NR Kurtansky, SW Dusza, AC Halpern, RI Hartman, AC Geller, ... Journal of Investigative Dermatology 142 (7), 1804-1811. e6, 2022 | 48 | 2022 |
| Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (ISIC). CoRR abs/1902.03368 (2019) NCF Codella, V Rotemberg, P Tschandl, ME Celebi, S Dusza, D Gutman, ... arxiv, 1902 | 48 | 1902 |
| A patient-centric dataset of images and metadata for identifying melanomas using clinical context. Sci Data 8, 34 (2021) V Rotemberg, N Kurtansky, B Betz-Stablein, L Caffery, E Chousakos, ... | 48 | |
| A reinforcement learning model for AI-based decision support in skin cancer C Barata, V Rotemberg, NCF Codella, P Tschandl, C Rinner, BN Akay, ... Nature Medicine 29 (8), 1941-1946, 2023 | 47 | 2023 |
