Search Results - "Pronina, Valeriya"

Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach by Abascal, Juan F. P. J., Ducros, Nicolas, Pronina, Valeriya, Rit, Simon, Rodesch, Pierre-Antoine, Broussaud, Thomas, Bussod, Suzanne, Douek, Philippe C., Hauptmann, Andreas, Arridge, Simon, Peyrin, Francoise

“…The state-of-the art for solving the nonlinear material decomposition problem in spectral computed tomography is based on variational methods, but these are…”
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3D denoised completion network for deep single-pixel reconstruction of hyperspectral images by Pronina, Valeriya, Lorente Mur, Antonio, Abascal, Juan F. P. J., Peyrin, Françoise, Dylov, Dmitry V., Ducros, Nicolas

“…Single-pixel imaging acquires an image by measuring its coefficients in a transform domain, thanks to a spatial light modulator. However, as measurements are…”
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Tracking induced pluripotent stem cell differentiation with a fluorescent genetically encoded epigenetic probe by Stepanov, Afanasii I., Shuvaeva, Alexandra A., Putlyaeva, Lidia V., Lukyanov, Daniil K., Galiakberova, Adelya A., Gorbachev, Dmitry A., Maltsev, Dmitry I., Pronina, Valeriya, Dylov, Dmitry V., Terskikh, Alexey V., Lukyanov, Konstantin A., Gurskaya, Nadya G.

“…Epigenetic modifications (methylation, acetylation, etc.) of core histones play a key role in regulation of gene expression. Thus, the epigenome changes…”
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Deep Learning Framework For Mobile Microscopy by Kornilova, Anatasiia, Salnikov, Mikhail, Novitskaya, Olga, Begicheva, Maria, Sevriugov, Egor, Shcherbakov, Kirill, Pronina, Valeriya, Dylov, Dmitry V.

“…Mobile microscopy is a promising technology to assist and to accelerate disease diagnostics, with its widespread adoption being hindered by the mediocre…”
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Parameters Synthesis of Technical Objects under Parametric Uncertainty by Veresnikov, Georgy, Pankova, Ludmila, Pronina, Valeriya

“…To synthesize the parameters of technical objects, we offer optimization models in which the objective functions and constraints depend on the input data and…”
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Microscopy Image Restoration with Deep Wiener-Kolmogorov filters by Pronina, Valeriya, Kokkinos, Filippos, Dylov, Dmitry V, Lefkimmiatis, Stamatios

“…Microscopy is a powerful visualization tool in biology, enabling the study of cells, tissues, and the fundamental biological processes; yet, the observed…”
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Optimal Design of Technical Objects under Mixed Parametric Uncertainty by Veresnikov, Georgy, Pankova, Ludmila, Pronina, Valeriya, Bashkirov, Igor, Ogorodnicov, Oleg

“…The methodology of the optimal design of technical objects under parametric mixed uncertainty has been developed. The article proposes the model of optimal…”
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Deep learning Framework for Mobile Microscopy by Kornilova, Anatasiia, Salnikov, Mikhail, Novitskaya, Olga, Begicheva, Maria, Sevriugov, Egor, Shcherbakov, Kirill, Pronina, Valeriya, Dylov, Dmitry V

“…Mobile microscopy is a promising technology to assist and to accelerate disease diagnostics, with its widespread adoption being hindered by the mediocre…”
Get full text

Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach by Abascal, Juan F. P. J, Ducros, Nicolas, Pronina, Valeriya, Rit, Simon, Rodesch, Pierre-Antoine, Broussaud, Thomas, Bussod, Suzanne, Douek, Philippe C, Hauptmann, Andreas, Arridge, Simon, Peyrin, Francoise

“…The state-of-the art for solving the nonlinear material decomposition problem in spectral computed tomography is based on variational methods, but these are…”
Get full text