I am a fourth year Ph.D. student in the Department of Computer Science at Stony Brook University, where I am fortunate to be advised by Arie Kaufman. My research interests are in medical imaging, computer vision, and machine learning, with a current focus on the diagnosis and staging of pancreatic cancer (more). I am also interested in scientific visualization and applications of virtual and augmented reality.
Before coming to Stony Brook, I completed my undergraduate degree in Applied Mathematics and Computer Science at St. Petersburg Electrotechnical University, Russia.
Dmitriev, K., Parag, T., Matejek, B., Kaufman, A.E., Pfister, H., 2018, September. Efficient Correction for EM Connectomics with Skeletal Representation. To be presented at British Machine Vision Conference 2018.
Dmitriev, K., Kaufman, A.E., Javed, A.A., Hruban, R.H., Fishman, E.K., Lennon, A.M. and Saltz, J.H., 2017, September. Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 150-158). Springer, Cham. [PDF][Poster]
Gutenko, I., Dmitriev, K., Kaufman, A. and Barish, M., "AnaFe: Visual Analytics of Image-Derived Temporal Features - Focusing on Spleen.” IEEE Transactions on Visualization and Computer Graphics 23.1 (2017): 171-180. [PDF]