most citedRobust and Complex Approach of Pathological Speech Signal Analysis

129 citations · 194 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD202219 cited

Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability

Jiri Mekyska, Zdenek Smekal, Zoltan Galaz +4

Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudnes…

eess.SP202246 cited

Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease

Peter Drotár, Jiří Mekyska, Zdeněk Smékal +3

In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressur…

cs.SD2022

Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation

Jan Mucha, Zoltan Galaz, Jiri Mekyska +9

Up to 90 % of patients with Parkinson's disease (PD) suffer from hypokinetic dysarthria (HD). In this work, we analysed the power of conventional speech features quantifying imprec…

cs.SD2022129 cited

Robust and Complex Approach of Pathological Speech Signal Analysis

Jiri Mekyska, Eva Janousova, Pedro Gomez-Vilda +8

This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It pro…

physics.med-ph2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22

Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in…