S. Shugai

Differentiation of glioblastoma tissues using spontaneous Raman scattering with dimensionality reduction and data classification

I. Pronin, V. Loschenov, S. Goryaynov, 2022, Frontiers in Oncology.

MR-guided non-invasive typing of brain gliomas using machine learning

I. Pronin, T. Konakova, G. Danilov, 2022, Voprosy neirokhirurgii imeni N.N. Burdenko.

Intratumoral molecular genetic heterogeneity of glioblastomas

E. A. Khokhlova, M. Ryzhova, P. Nikitin, 2020, CLINICAL AND EXPERIMENTAL MORPHOLOGY.

Experimental Substantiation and Clinical Use of a Combination of Dermal Matrix with Allogenic or Autologous Cells for the Treatment of Extensive Traumatic Wounds

S. V. Smirnov, V. Khvatov, I. Klyukvin, 2014, Bulletin of Experimental Biology and Medicine.

[Non-invasive diagnosis of brain gliomas by histological type using neuroradiomics in standardized regions of interest: towards digital biopsy].

A. Batalov, E. Pogosbekyan, N. Zakharova, 2023, Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko.

Classification of intracranial tumors based on optical-spectral analysis

I. Romanishkin, T. Savelieva, V. Loschenov, 2023, Biomedical Photonics.

Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods

I. Romanishkin, T. Savelieva, A. Kosyrkova, 2023, International journal of molecular sciences.