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Valery V Shupletsov

Showing results (1-10 of 5) with videos related to

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Lasers in Surgery and Medicine|November 18, 2024
In Vivo Time-Resolved Fluorescence Detection of Liver Cancer Supported by Machine LearningElena V Potapova, Valery V Shupletsov, Viktor V Dremin, et al.
Journal of Biomedical Optics|November 3, 2025
Hyperspectral and machine-learning-based classification of ischemic intestinal tissueValery V Shupletsov, Ilya A Goryunov, Nikita A Adamenkov, et al.
Biomedical Optics Express|March 14, 2022
Fluorescence lifetime needle optical biopsy discriminates hepatocellular carcinomaEvgenii A Zherebtsov, Elena V Potapova, Andrian V Mamoshin, et al.
The FEBS Journal|February 5, 2024
Detection of NADH and NADPH levels in vivo identifies shift of glucose metabolism in cancer to energy productionElena V Potapova, Evgenii A Zherebtsov, Valery V Shupletsov, et al.
Journal of Biophotonics|June 5, 2023
Digital diaphanoscopy of maxillary sinus pathologies supported by machine learningEkaterina O Bryanskaya, Viktor V Dremin, Valery V Shupletsov, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Lasers in Surgery and Medicine|November 18, 2024
In Vivo Time-Resolved Fluorescence Detection of Liver Cancer Supported by Machine LearningElena V Potapova, Valery V Shupletsov, Viktor V Dremin, et al.
Journal of Biomedical Optics|November 3, 2025
Hyperspectral and machine-learning-based classification of ischemic intestinal tissueValery V Shupletsov, Ilya A Goryunov, Nikita A Adamenkov, et al.
Biomedical Optics Express|March 14, 2022
Fluorescence lifetime needle optical biopsy discriminates hepatocellular carcinomaEvgenii A Zherebtsov, Elena V Potapova, Andrian V Mamoshin, et al.
The FEBS Journal|February 5, 2024
Detection of NADH and NADPH levels in vivo identifies shift of glucose metabolism in cancer to energy productionElena V Potapova, Evgenii A Zherebtsov, Valery V Shupletsov, et al.
Journal of Biophotonics|June 5, 2023
Digital diaphanoscopy of maxillary sinus pathologies supported by machine learningEkaterina O Bryanskaya, Viktor V Dremin, Valery V Shupletsov, et al.
Pageof 1