Tomas Iesmantas

Tomas Iesmantas

MC Member

Area of expertise
Bayesian inference, MCMC, Machine learning, Deep learning

Area of interest
1. Application of deep learning development of new methods (and more general machine learning) to biomedical cases like cell segmentation, histological image classification, MRI segmentation for multiple sclerosis, etc.
2.Application of MCMC techniques for Bayesian inference in survival models (hierarchical, spatial dependence, etc.)

Kaunas University of Technology