Artem Sevastopolsky
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Optic disc and cup segmentation methods for glaucoma detection with modification of U-Net convolutional neural network
A Sevastopolsky
Pattern Recognition and Image Analysis 27 (3), 618-624, 2017
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
Coordinate-based texture inpainting for pose-guided human image generation
A Grigorev, A Sevastopolsky, A Vakhitov, V Lempitsky
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Neural point-based graphics
KA Aliev, A Sevastopolsky, M Kolos, D Ulyanov, V Lempitsky
arXiv preprint arXiv:1906.08240, 2019
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, 1094928, 2019
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer
M Kolos, A Sevastopolsky, V Lempitsky
arXiv preprint arXiv:2009.02819, 2020
Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
BM Snyder, SM Nam, P Khunsongkiet, S Ausayakhun, T Leeungurasatien, ...
PloS one 14 (8), e0220362, 2019
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