Results 171 to 180 of about 2,300,906 (381)
Pyogenic Infective Diseases of the Brain and Spinal Cord; Meningitis, Abscess of the Brain, Infective Sinus Thrombosis [PDF]
NULL AUTHOR_ID
openalex +1 more source
Open craniotomy for brain abscess: A forgotten experience?
Background: Brain abscess carries a high morbidity and mortality despite medical advances. In this paper, we present a single institution's experience with the surgical treatment of brain abscess.
N. Gadgil, Akash J. Patel, S. Gopinath
semanticscholar +1 more source
Dentigerous cysts in horses: A retrospective study
Summary Background Dentigerous cysts are well‐known congenital defects in horses, and the literature on this condition is extensive. Recently, a third type of dentigerous cyst, associated with an exostosis arising from the temporal bone, has been described.
M. Schläpfer+3 more
wiley +1 more source
Abscesso cerebral secundário à osteomielite frontal [PDF]
Frontal osteomyelitis is a rare complication of sinusitis. Common intracranial complications of the frontal osteomyelitis are meningitis, epidural empyema, subdural empyema and brain abscess.
Nicodemo, Antonio Carlos+2 more
core +3 more sources
ABSTRACT Background Endogenous endophthalmitis is an infrequent yet severe complication of hemodialysis catheter‐related sepsis. In this report, we present a case of endogenous bacterial endophthalmitis in a patient with hemodialysis catheter‐related sepsis.
Hui Guo+5 more
wiley +1 more source
Diffusion-weighted imaging in the early diagnosis of intraventricular rupture of a brain abscess
Brain abscess is a potentially fatal injury that must be treated promptly to avoid complications that require neurosurgery such as intraventricular rupture.
Matteo Marcucci, MD+3 more
doaj
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning [PDF]
Brain network analysis plays an increasingly important role in studying brain function and the exploring of disease mechanisms. However, existing brain network construction tools have some limitations, including dependency on empirical users, weak consistency in repeated experiments and time-consuming processes.
arxiv
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks [PDF]
Identifying unusual brain activity is a crucial task in neuroscience research, as it aids in the early detection of brain disorders. It is common to represent brain networks as graphs, and researchers have developed various graph-based machine learning methods for analyzing them. However, the majority of existing graph learning tools for the brain face
arxiv