Image and Signal Analysis Group

Address
Akademijos st. 4, room 623
Vilnius, Lithuania

Head of the Group
dr. Povilas Treigys

Tel: +370 5 210 9328
E-mail:

Lab on social networks:

Speech and language processing:

Speech signal modelling: autoregressive/linear prediction, fractal-based nonlinear modelling, source-filter models.
Speech recognition: segment-based speech recognition.
Speech emotion recognition: hierarchical classification of speech emotions, speech emotion features, feature selection.
Estimation of speech quality: acoustic analysis for quality estimation; estimation of vocal fold functionality; estimation of phonation level;
Signal model parameter assessment;
Development of sound mathematical models.

Image and video signal processing:

Object recognition and segmentation using deep neural networks
Image reconstruction by deep generative networks
Analysis of ocular fundus optic disc, other lesions
Analysis of images of colonic pathology to describe tumor cell subpopulations in whole-slide images
Detection of prostate changes in multiparametric magnetic resonance imaging
Processing of full-frame histological images by machine learning methods.

Analysis of big data and development of deep learning algorithms:

Analysis and recognition of clonal structures in genetic data.
Analysis of traffic (marine) data to identify traffic anomalies in LSTM and transformer deep neural networks
Development of deep teaching/learning methods for solving classification and forecasting problems.

Name, Surname	Supervisor	Field of study	Theme	Time of study
Bernardas Čiapas	Assoc. Prof. Dr. Povilas Treigys	N 009	Image Feature Analysis for Solving Recognition Tasks in Self Checkout Systems	2019-2023
Monika Danilovaitė	Assoc. Prof. Dr. Gintautas Tamulevičius	N 009	Voice Quality Assessment Methodology for the Detection of Vocal Folds Disorders	2020-2025
Robertas Jurkus	Assoc. Prof. Dr. Povilas Treigys	T 007	Maritime Traffic Awareness Evaluation using Deep Neural Networks	2020-2024
Aleksas Vaitulevičius	Assoc. Prof. Dr. Povilas Treigys	N 009	Research and Modeling of Digital Signals for the Detection of Cancerous Areas of Tissue in Different MRI Modalities	2021-2025
Sandra Virbukaitė	Dr. Jolita Bernatavičienė	T 007	Development of Deep Learning Methods for Pathological Changes Identification in Eye Fundus Images	2020-2024
Roman Surkant	Dr. Jolita Bernatavičienė	N 009	Development of machine learning and functional data analysis methods for prostate multiparametric MRI analysis	2022-2026

Research fields