4 results match your criteria: "Physics Institute of Buenos Aires (IFIBA) CONICET[Affiliation]"
Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data.
Eur Radiol
March 2024
Radiology Department, Diagnósticos da América SA (Dasa), Rio de Janeiro, Brazil.
Objectives: Evaluate the performance of a deep learning (DL)-based model for multiple sclerosis (MS) lesion segmentation and compare it to other DL and non-DL algorithms.
Methods: This ambispective, multicenter study assessed the performance of a DL-based model for MS lesion segmentation and compared it to alternative DL- and non-DL-based methods. Models were tested on internal (n = 20) and external (n = 18) datasets from Latin America, and on an external dataset from Europe (n = 49).
Brain folding shapes the branching pattern of the middle cerebral artery.
PLoS One
May 2021
Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America.
The folds of the brain offer a particular challenge for the subarachnoid vascular grid. The primitive blood vessels that occupy this space, when the brain is flat, have to adapt to an everchanging geometry while constructing an efficient network. Surprisingly, the result is a non-redundant arterial system easily challenged by acute occlusions.
View Article and Find Full Text PDFMotor representations underlie the reading of unfamiliar letter combinations.
Sci Rep
March 2020
Physics Institute of Buenos Aires (IFIBA) CONICET, Buenos Aires, Argentina.
Article Synopsis
- Silent reading generates verbal content without vocalization, raising the question of how this content is processed in the brain.
- Researchers analyzed eye movements, sound, and lip movements while participants silently read rare combinations of consonants and vowels (CCVs).
- Findings revealed that the length of initial fixations on these CCVs during silent reading is related to the physical effort needed to pronounce them, suggesting that a speech motor code plays a role in recognizing complex text during silent reading.
Vocal effort modulates the motor planning of short speech structures.
Phys Rev E
May 2018
Physics Institute of Buenos Aires (IFIBA) CONICET, Buenos Aires, Argentina.
Article Synopsis
- The study investigates how the timing of vocal gestures in speech production is influenced by the effort required to pronounce specific consonant combinations (CCVs).
- The researchers found that the delay between seeing the CCVs on screen and starting to speak was positively correlated with the length of transitions between consonants, particularly for plosive sounds.
- The findings suggest that the motor planning of speech is affected by the vocal effort needed for different sound combinations, indicating a link between movement difficulty and speech initiation timing.