PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging E Bobrov, A Georgievskaya, K Kiselev, A Sevastopolsky, A Zhavoronkov, ... Aging (Albany NY) 10 (11), 3249, 2018 | 90 | 2018 |
Stack-u-net: Refinement network for image segmentation on the example of optic disc and cup A Sevastopolsky, S Drapak, K Kiselev, BM Snyder, JD Keenan, ... arXiv preprint arXiv:1804.11294, 2018 | 30 | 2018 |
Stack-u-net: refinement network for improved optic disc and cup image segmentation A Sevastopolsky, S Drapak, K Kiselev, BM Snyder, JD Keenan, ... Medical Imaging 2019: Image Processing 10949, 576-584, 2019 | 28 | 2019 |
14086 A new multimodal age prediction image analysis method from hands images of different age groups by neural network model A Georgievskaya, T Tlyachev, K Kiselev, T Sholokhova, J Krutmann, ... Journal of the American Academy of Dermatology 83 (6), AB18, 2020 | 3 | 2020 |
LB1652 Images of the hand are comparable to those of the face for predicting chronological age via AI A Georgievskaya, T Tlyachev, K Kiselev, G Hillebrand, K Chekanov, ... Journal of Investigative Dermatology 143 (9), B5, 2023 | 1 | 2023 |
Method and system for anonymizing facial images A Georgievskaya, T Tlyachev, A Golodyayev, R Kiryanov, K Kiselev US Patent App. 17/477,397, 2022 | 1 | 2022 |
Predicting human chronological age via AI analysis of dorsal hand versus facial images: A study in a cohort of Indian females A Georgievskaya, T Tlyachev, K Kiselev, G Hillebrand, K Chekanov, ... Experimental Dermatology 33 (3), e15045, 2024 | | 2024 |
Skinly: A novel handheld IoT device for validating biophysical skin characteristics MPB Tobar, S Clemann, R Hagens, S Pagel‐Wolff, S Hoppe, P Behm, ... Skin Research and Technology 30 (3), e13613, 2024 | | 2024 |