363 citations · 504 across the 8 of their papers we have counts for
9 papers
A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model
Matej Gazda, Jakub Gazda, Juraj Gazda +1
Public cardiac cohorts annotate different subsets of the heart, so shapes from separate sources cannot be pooled without shared correspondence. Among released cardiac shape resourc…
Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation
Petros Koutsouvelis, Matej Gazda, Leroy Volmer +5
The field of computer vision is undergoing a paradigm shift toward large-scale foundation model pre-training via self-supervised learning (SSL). Leveraging large volumes of unlabel…
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
Peter Drotár, Jiří Mekyska, Irena Rektorová +3
Objective: We present the PaHaW Parkinson's disease handwriting database, consisting of handwriting samples from Parkinson's disease (PD) patients and healthy controls. Our goal is…
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits
Matej Gazda, Samuel Kadoury, Jakub Gazda +1
Transthoracic Echocardiography (TTE) is a fundamental, non-invasive diagnostic tool in cardiovascular medicine, enabling detailed visualization of cardiac structures crucial for di…
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction
Matej Gazda, Peter Drotar, Liset Vazquez Romaguera +1
Intensity modulated radiotherapy (IMRT) is one of the most common modalities for treating cancer patients. One of the biggest challenges is precise treatment delivery that accounts…
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment
David Jozef Hresko, Marek Kurej, Jakub Gazda +1
The kidney cancer is one of the most common cancer types. The treatment frequently include surgical intervention. However, surgery is in this case particularly challenging due to r…
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…
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda, Jakub Gazda, Jan Plavka +1
Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are almost always used in the…
Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints
Peter Bugata, Peter Drotar
Feature selection is important step in machine learning since it has shown to improve prediction accuracy while depressing the curse of dimensionality of high dimensional data. The…