Farrell Lab

Computational Neuropathology Lab at Icahn School of Medicine

Interpretable deep learning of myelin histopathology in age-related cognitive impairment


Journal article


Andrew T McKenzie, Gabriel A Marx, Daniel Koenigsberg, Mary Sawyer, Megan A Iida, Jamie M Walker, Timothy E Richardson, Gabriele Campanella, Johannes Attems, Ann C McKee, others
Acta Neuropathologica Communications, vol. 10, Springer, 2022, p. 131

Cite

Cite

APA   Click to copy
McKenzie, A. T., Marx, G. A., Koenigsberg, D., Sawyer, M., Iida, M. A., Walker, J. M., … others. (2022). Interpretable deep learning of myelin histopathology in age-related cognitive impairment. Acta Neuropathologica Communications, 10, 131.


Chicago/Turabian   Click to copy
McKenzie, Andrew T, Gabriel A Marx, Daniel Koenigsberg, Mary Sawyer, Megan A Iida, Jamie M Walker, Timothy E Richardson, et al. “Interpretable Deep Learning of Myelin Histopathology in Age-Related Cognitive Impairment.” Acta Neuropathologica Communications 10 (2022): 131.


MLA   Click to copy
McKenzie, Andrew T., et al. “Interpretable Deep Learning of Myelin Histopathology in Age-Related Cognitive Impairment.” Acta Neuropathologica Communications, vol. 10, Springer, 2022, p. 131.


BibTeX   Click to copy

@article{mckenzie2022a,
  title = {Interpretable deep learning of myelin histopathology in age-related cognitive impairment},
  year = {2022},
  journal = {Acta Neuropathologica Communications},
  pages = {131},
  publisher = {Springer},
  volume = {10},
  author = {McKenzie, Andrew T and Marx, Gabriel A and Koenigsberg, Daniel and Sawyer, Mary and Iida, Megan A and Walker, Jamie M and Richardson, Timothy E and Campanella, Gabriele and Attems, Johannes and McKee, Ann C and others}
}