نتایج جستجو برای: brain anomaly

تعداد نتایج: 510788  

Journal: :International journal of advanced research 2022

A septum pellucidum cyst is defined as a fluid collection between the lateral ventricles whose walls have curvature and are separated by 10 mm or more . Most of these cysts benign their clinical significance should be considered neurodevelopmental anomaly that may contribute to neuropsychiatric abnormalities It often incidental finding, little significance. However, an association this developm...

Journal: :Brain and language 1997
L Osterhout

In two experiments, event-related brain potentials (ERPs) were recorded from 13 scalp locations while subjects read sentences containing a syntactically or a semantically anomalous word. The position (sentence-embedded vs sentence-final) and word class (open vs closed) of the syntactic anomalies were manipulated. In both experiments, semantically anomalous words elicited an enhanced N400 compon...

Journal: :acta medica iranica 0
a. zamani k. daneshjou a. ameni j. tak

regardless of severity, earlier intervention to correct hearing loss in children improves speech development and conversational abilities. a cross-sectional study was performed on 230 neonates who were at risk of hearing loss in tehran university of medical sciences hospitals between september 2000 and february 2002. hearing was examined before the 3rd month by auditory brainstem responses (abr...

Journal: :iranian journal of neonatology 0
mohammad ali jahani department of public instruction faculty member of medical school, babol university of medical sciences, babol, iran zahra akbarian rad non-communicable pediatric diseases research center, babol university of medical sciences, babol, iran masoome naghavian teaching medical records, babol university of medical sciences, babol, iran tayebe salmanian babol university of medical sciences, babol, iran mohsen haghshenas mojaveri non-communicable pediatric diseases research center, babol university of medical sciences, babol, iran

background: stillbirth is a sensitive indicator for health care quality, living conditions and equity in a society. the aim of this study was to determine the rate and contributing factors of stillbirth at babol hospitals. methods: this cross-sectional, descriptive, analytical study was designed as an applied research, using census sampling in 2012-2013. a questionnaire was applied for data col...

2014
Naohisa Miyakoshi Michio Hongo Yuji Kasukawa Yoichi Shimada

INTRODUCTION Anomalies in the craniovertebral junction may be a rare cause of syncope. The mechanisms of syncope related to craniovertebral junction anomaly remain unknown.We present an extremely rare case with anomaly in the craniovertebral junction and syncope, and discuss the mechanism of the syncope. CASE PRESENTATION A 10-year-old Japanese boy with a congenital anomaly in the cranioverte...

Journal: :فیزیک زمین و فضا 0
مرتضی عرفانیان نوروززاده دانشگاه تهران وحید ابراهیم زاده اردستانی هیأت علمی بخش گرانی سنجی-مؤسسه ژئوفیزیک دانشگاه تهران

in this paper, a new formula is applied for the calculation of gravity anomalies from a cylinder model representing a geological body. compared to conventional methods, this new development allows the cylinder to be freely oriented in space. 38 gravity forward models are produced each of which anomaly attributes are calculated. then a linear relationship is established between attributes and so...

2016
Mohammad Reza Najafi Nafiseh Toghianifar Morteza Abdar Esfahani Mohammad Amin Najafi Mohammad Javad Mollakouchakian

BACKGROUND Vertebrobasilar dolichoectasia (VBD) is a rare vasculopathy. The etiology of this disease is unknown. Transient ischemic attacks (TIAs) of vertebrobasilar system refer to a transient (< 24 hours) lowering of blood flow in the posterior circulation of the brain. We present a case of dolichoectasia in the vertebrobasilar artery that presented with TIAs. CASE REPORT A hypertensive 54-...

Journal: :Lecture Notes in Computer Science 2022

AbstractIn medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations required for training. Current mainly rely on generative adversarial networks or autoencoder models. Those models often complicated to train have difficulties preserve fine details in the image. We present a novel method based denoising diffusion implicit combine d...

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