Ph.D., Computer Science,
Stony Brook University
Contact:
dmitrievko at gmail dot com
About Me
I am a Senior Machine Learning Scientist at Hyperfine. I received my Ph.D. in Computer Science from Stony Brook University, where I was advised by Dr. Arie Kaufman. Before coming to Stony Brook, I completed my undergraduate degree in Applied Mathematics and Computer Science at St. Petersburg Electrotechnical University, Russia. My research interests are in computer vision and machine learning, with an emphasis on the analysis of complex and noisy datasets and on simulations for data augmentation. I am also interested in scientific visualization and applications of virtual and augmented reality for data interpretation.
Publications
Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions
Dmitriev, K., Kaufman, A.E., 2020, October. Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020.
3D Virtual Pancreatography
Jadhav*, S., Dmitriev*, K., Marino, J., Barish, M., Kaufman, A.E., 2020. 3D Virtual Pancreatography. In IEEE Transactions on Visualization and Computer Graphics (TVCG) 2020.
Learning Multi-Class Segmentations From Single-Class Datasets
Dmitriev, K., Kaufman, A.E., 2019, June. Learning Multi-Class Segmentations From Single-Class Datasets. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019. [PDF][Poster]
Visual Analysis of a Computer-Aided Diagnosis System
Dmitriev, K., Marino, J., Baker, K., Kaufman, A.E., Visual Analysis of a Computer-Aided Diagnosis System for Pancreatic Lesions. In IEEE Transactions on Visualization and Computer Graphics (TVCG) 2019.
Efficient Correction for EM Connectomics with Skeletal Representation
Dmitriev, K., Parag, T., Matejek, B., Kaufman, A.E., Pfister, H., 2018, September. Efficient Correction for EM Connectomics with Skeletal Representation. In British Machine Vision Conference (BMVC) 2018. [PDF][Poster]
Classification of Pancreatic Cysts in Computed Tomography Images
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 (MICCAI) (pp. 150-158). Springer, Cham. [PDF][Poster]
Visual Analytics of Image-derived Features
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 (TVCG) 23.1 (2017): 171-180. [PDF]
