Zvi Baratz
A5080180515- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Electron and X-Ray Spectroscopy Techniques
- Cell Image Analysis Techniques
- Health, Environment, Cognitive Aging
- Advanced Biosensing Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Medical Imaging and Analysis
- EEG and Brain-Computer Interfaces
Tel Aviv University
2018-2023
Abstract The laminar composition of the cerebral cortex is tightly connected to development and connectivity brain, as well function pathology. Although most research on cortical layers done with aid ex vivo histology, there have been recent attempts use magnetic resonance imaging (MRI) potential in applications. However, high‐resolution MRI technology protocols required for such studies are neither common nor practical. In this article, we present a clinically feasible method assessing...
Abstract Modeling individual traits is a long-standing goal of neuroscientific research, as it allows us to gain more profound understanding the relationship between brain structure and variability. In this article, we used Keras-Tuner library evaluate performance tuned Xception convolutional neural network (CNN) architecture in predicting sex age from sample 4,049 T1-weighted anatomical MRI scans originating 1,594 participants. addition, same tuning procedure predict big five inventory...
Abstract The goal of this article is to present “The Labbing Project”; a novel neuroimaging data aggregation and preprocessing web application built with Django VueJS. Neuroimaging can be complex time-consuming work with, especially for researchers limited programming experience. This aims streamline the process aggregating by providing an intuitive, user-friendly interface that allows upload, organize, preprocess their minimal requirements. utilizes Django, popular Python framework, create...
Abstract Magnetic resonance imaging (MRI) is a powerful tool for non-invasive of the human body. However, quality and reliability MRI data can be influenced by various factors, such as hardware software configurations, image acquisition protocols, preprocessing techniques. In recent years, introduction large-scale neuroimaging datasets has taken an increasingly prominent role in neuroscientific research. The advent publicly available standardized repositories enabled researchers to combine...
The layer composition of the cerebral cortex represents a unique anatomical fingerprint brain development, function, connectivity and pathology. Historically cortical layers were investigated solely ex-vivo using histological means, but recent magnetic resonance imaging (MRI) studies suggest that T1 relaxation images can be utilized to separate layers. Despite technological advancements in field high resolution MRI, accurate estimation whole has remained limited due partial volume effects,...