Valeriya Pronina
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Microscopy image restoration with deep wiener-kolmogorov filters
V Pronina, F Kokkinos, DV Dylov, S Lefkimmiatis
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approach
JFPJ Abascal, N Ducros, V Pronina, S Rit, PA Rodesch, T Broussaud, ...
IEEE Access 9, 25632-25647, 2021
3D denoised completion network for deep single-pixel reconstruction of hyperspectral images
V Pronina, AL Mur, JFPJ Abascal, F Peyrin, DV Dylov, N Ducros
Optics Express 29 (24), 39559-39573, 2021
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach
J Abascal, N Ducros, V Pronina, S Bussod, A Hauptmannz, S Arridge, ...
2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI …, 2020
Deep Learning Framework For Mobile Microscopy
A Kornilova, M Salnikov, O Novitskaya, M Begicheva, E Sevriugov, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 324-328, 2021
Tracking induced pluripotent stem cells differentiation with a fluorescent genetically encoded epigenetic probe
AI Stepanov, AA Shuvaeva, LV Putlyaeva, AA Galiakberova, V Pronina, ...
A fast computational approach for high spectral resolution imaging
L Mahieu-Williame, A Lorente-Mur, V Pronina, B Montcel, F Peyrin, ...
Unconventional Optical Imaging III, PC121360F, 2022
A convolutional neural network method for material decomposition in spectral CT
J Abascal, V Pronina, N Ducros, S Bussod, S Arridge, A Hauptmann, ...
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