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Veronica Rotemberg
Veronica Rotemberg
Memorial Sloan-Kettering Cancer Center
Verified email at duke.edu
Title
Cited by
Cited by
Year
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
10692019
Bcn20000: Dermoscopic lesions in the wild
M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 2019
4562019
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
3692021
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
1642021
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
1552019
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
1492021
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
1412010
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
1372019
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
1212022
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
802022
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
742015
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
732013
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
672019
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
632022
Large language models propagate race-based medicine
JA Omiye, JC Lester, S Spichak, V Rotemberg, R Daneshjou
NPJ Digital Medicine 6 (1), 195, 2023
482023
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
452020
The impact of hepatic pressurization on liver shear wave speed estimates in constrained versus unconstrained conditions
V Rotemberg, M Palmeri, R Nightingale, N Rouze, K Nightingale
Physics in Medicine & Biology 57 (2), 329, 2011
432011
BCN20000: Dermoscopic lesions in the wild. arXiv 2019
M Combalia, NC Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 1908
411908
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
401902
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, ...
37
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