3 papers
eess.IV2026
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…
cs.AI2025
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…
cs.CV2024
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
Peter Drotár, JiÅà 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…