Lituiev, Dmytro

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18 F-FDG PET of the Brain

Ding, Y., Sohn, J. H., Kawczynski, M. G., Trivedi, H., Harnish, R., Jenkins, N. W., Lituiev, D., Copeland, T. P., Aboian, M. S., Mari Aparici, C., et al. (2019) · Radiology

Dementia and Cognitive Impairment ResearchMedical Imaging Techniques and Applications

Cited by 577

Discovery of stimulation-responsive immune enhancers with CRISPR activation

Simeonov, D. R., Gowen, B. G., Boontanrart, M., Roth, T. L., Gagnon, J. D., Mumbach, M. R., Satpathy, A. T., Lee, Y., Bray, N. L., Chan, A. Y., et al. (2017) · Nature

Genomics and Chromatin DynamicsCRISPR and Genetic Engineering

Cited by 297

Genetic determinants of co-accessible chromatin regions in activated T cells across humans

Gate, R. E., Cheng, C. S., Aiden, A. P., Siba, A., Tabaka, M., Lituiev, D., Machol, I., Gordon, M. G., Subramaniam, M., Shamim, M., et al. (2018) · Nature Genetics

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 181