Machine Learning-Assisted SHG Morphometry Reveals Distinct Collagen Microarchitectures of Trabecular Bone and Fibrosis in Bone Marrow Biopsies.

Asaulenko ZP, Egorchev AA, Peshekhonov DA, Nurullin LF, Melnikova AA, Rosin AA, Vedischeva DS, Shaidullin SM, Vafin II, Buchaka AS, Gladyshev NS, Fedchenko ME, Chickrin DE, Krivolapov YA, Samigullin DV, Aganov AV, Paveliev M.

Open source

DOI
10.3390/ijms27177685
Published
2026-08-27
Container
Int J Mol Sci
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/ijms27177685,
  title = {Machine Learning-Assisted SHG Morphometry Reveals Distinct Collagen Microarchitectures of Trabecular Bone and Fibrosis in Bone Marrow Biopsies.},
  author = {Asaulenko ZP and  Egorchev AA and  Peshekhonov DA and  Nurullin LF and  Melnikova AA and  Rosin AA and  Vedischeva DS and  Shaidullin SM and  Vafin II and  Buchaka AS and  Gladyshev NS and  Fedchenko ME and  Chickrin DE and  Krivolapov YA and  Samigullin DV and  Aganov AV and  Paveliev M.},
  year = {2026},
  journal = {Int J Mol Sci},
  doi = {10.3390/ijms27177685},
  url = {https://doi.org/10.3390/ijms27177685}
}

RIS

TY  - JOUR
TI  - Machine Learning-Assisted SHG Morphometry Reveals Distinct Collagen Microarchitectures of Trabecular Bone and Fibrosis in Bone Marrow Biopsies.
AU  - Asaulenko ZP
AU  -  Egorchev AA
AU  -  Peshekhonov DA
AU  -  Nurullin LF
AU  -  Melnikova AA
AU  -  Rosin AA
AU  -  Vedischeva DS
AU  -  Shaidullin SM
AU  -  Vafin II
AU  -  Buchaka AS
AU  -  Gladyshev NS
AU  -  Fedchenko ME
AU  -  Chickrin DE
AU  -  Krivolapov YA
AU  -  Samigullin DV
AU  -  Aganov AV
AU  -  Paveliev M.
PY  - 2026
JO  - Int J Mol Sci
DO  - 10.3390/ijms27177685
UR  - https://doi.org/10.3390/ijms27177685
ER  - 

APA

ZP, A., AA, E., DA, P., LF, N., AA, M., AA, R., DS, V., SM, S., II, V., AS, B., NS, G., ME, F., DE, C., YA, K., DV, S., AV, A., & M., P. (2026). Machine Learning-Assisted SHG Morphometry Reveals Distinct Collagen Microarchitectures of Trabecular Bone and Fibrosis in Bone Marrow Biopsies.. Int J Mol Sci. https://doi.org/10.3390/ijms27177685

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