Groupleader
Main research areas
- Development of complex algorithms for processing and analyzing tomographic data
- Creation of artificial intelligence tools for advanced image analysis
- Design of methodologies and implementation of support systems for medical diagnostics
- Automation of routine processes in image data analysis
Main practical research results
- DeepFoci - a fully automated method for DNA double-strand break counting and morphometric analysis based on deep learning
- CTDeepRot - a tool for automatic rotation of spinal CT data into a standardized (HFS) patient position
- AO_Retinal - vessels segmentation and wall analysis of retinal images from Adaptive Optic
- DiffReg - deep learning-based image registration using auto-differentiation
- QuantSharp - the source code for evaluating image sharpness in MRI modality
Main research publications
- Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data
- Learning–based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines
- VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
- Self-supervised pretraining for transferable quantitative phase image cell segmentation
- DeepFoci: Deep Learning-Based Algorithm for Fast Automatic Analysis of DNA Double-Strand Break Ionizing Radiation-Induced Foci
- Self-supervised pretraining for transferable quantitative phase image cell segmentation
