Antanas Verikas - Publications

Automated Quantification of Brittle Stars in Seabed Imagery Using Computer Vision Techniques.

Journal: Sensors (Basel, Switzerland)

Published: October 22, 2021

A fully-annotated imagery dataset of sublittoral benthic species in Svalbard, Arctic.

Journal: Data in brief

Published: December 17, 2020

Detecting Parkinson's disease from sustained phonation and speech signals.

Journal: PloS one

Published: March 02, 2017

Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness.

Journal: Sensors (Basel, Switzerland)

Published: March 03, 2016

Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise.

Journal: Sensors (Basel, Switzerland)

Published: April 23, 2015

Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

Published: April 20, 2015

Automatic detection and morphological delineation of bacteriophages in electron microscopy images.

Journal: Computers in biology and medicine

Published: March 20, 2015

Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: acoustic versus contact microphone.

Journal: Medical engineering & physics

Published: May 30, 2014

Combined Use of Standard and Throat Microphones for Measurement of Acoustic Voice Parameters and Voice Categorization.

Journal: Journal of voice : official journal of the Voice Foundation

Published: January 28, 2014

Towards noninvasive screening for malignant tumours in human larynx.

Journal: Medical engineering & physics

Published: July 03, 2009

Advances in laryngeal imaging.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

Published: December 05, 2008

Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders.

Journal: Artificial intelligence in medicine

Published: September 16, 2008