One of the biggest problems in automated diagnosis of psychiatric disorders from medical
images is the lack of sufficiently large samples for training. Sample size is especially …

Schizophrenia is a severe neuropsychiatric disease whose diagnosis, unfortunately, lacks
an objective diagnostic tool supporting a thorough psychiatric examination of the patient. We …

Abstract Machine learning (ML) is a growing field that provides tools for automatic pattern
recognition. The neuroimaging community currently tries to take advantage of ML in order to …

We examined how penalized linear discriminant analysis with resampling, which is a
supervised, multivariate, whole-brain reduction technique, can help schizophrenia …

Schizophrenia (SZ) is a brain disorder characterised by disturbances in cognition and
emotional responsiveness. In this work, steered Hermite Transform (HT) and SVM are used …

This paper presents a new data-driven classification pipeline for discriminating two groups
of individuals based on the medical images of their brain. The algorithm combines …

Schizophrenia as a severe neuropsychiatric disorder is diagnosed by an interview with a
psychiatrist and there is still not an objective diagnostic tool that could reveal the disease in …

Tato rigorózní práce představuje Toolbox pro klasifikaci obrazových dat mozku pomocí
umělých neuronových sítí. Nejprve jsou v práci popsány teoretické otázky klasifikace …

Metody pro odhad vývoje nových a inovativních technologií Diplomová práce se zabývá
studiem metod pro odhad vývoje nových a inovativních technologií. Clem práce je vytvoření …

Magnetic resonance (MR) brain images have a significant role in diagnosis of many
neuropsychiatric disorders such as Schizophrenia (SZ). In this work, Wasserstein-based …