Publications 1963 2020

Conference article
3 Citations (Scopus)

Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction

Lee, S., Fu, C., Salama, P., Dunn, K. & Delp, E. J., Jan 1 2018, In : IS and T International Symposium on Electronic Imaging Science and Technology. Part F138654, S11.

Research output: Contribution to journalConference article

Fluorescence microscopy
Neural networks

Using the oral health and disease ontology to study dental outcomes in national dental PBRN practices

Duncan, W. D., Hyvalikakath, T. P., Siddiqui, Z., LaPradd, M., Wen, C., Zheng, J., Roberts, A., Hood, D., Schleyer, T., Manimangalam, A., Rindal, D. B., Jurkovich, M. W., Shea, T. L., Bogacz, D., Yu, T., Fellows, J. L., Gordan, V. V. & Gilbert, G. H., Jan 1 2018, In : CEUR Workshop Proceedings. 2285

Research output: Contribution to journalConference article