Search Results - "Sair, Haris I"
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1
Structural cerebellar correlates of cognitive and motor dysfunctions in cerebellar degeneration
Published in Brain (London, England : 1878) (01-03-2017)“…See King et al. (doi:10.1093/aww348) for a scientific commentary on this article.Detailed mapping of clinical dysfunctions to the cerebellar lobules in disease…”
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2
Neuroinflammation and brain atrophy in former NFL players: An in vivo multimodal imaging pilot study
Published in Neurobiology of disease (01-02-2015)“…Abstract There are growing concerns about potential delayed, neuropsychiatric consequences (e.g, cognitive decline, mood or anxiety disorders) of…”
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3
Automated detection and classification of shoulder arthroplasty models using deep learning
Published in Skeletal radiology (01-10-2020)“…Objective To develop and evaluate the performance of deep convolutional neural networks (DCNN) to detect and identify specific total shoulder arthroplasty…”
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4
Imaging of Glial Cell Activation and White Matter Integrity in Brains of Active and Recently Retired National Football League Players
Published in JAMA neurology (01-01-2017)“…Microglia, the resident immune cells of the central nervous system, play an important role in the brain's response to injury and neurodegenerative processes…”
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5
Assessing the SAfety and FEasibility of bedside portable low-field brain Magnetic Resonance Imaging in patients on ECMO (SAFE-MRI ECMO study): study protocol and first case series experience
Published in Critical care (London, England) (30-04-2022)“…To assess the safety and feasibility of imaging of the brain with a point-of-care (POC) magnetic resonance imaging (MRI) system in patients on extracorporeal…”
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6
Radiology “forensics”: determination of age and sex from chest radiographs using deep learning
Published in Emergency radiology (01-10-2021)“…Purpose To develop and test the performance of deep convolutional neural networks (DCNNs) for automated classification of age and sex on chest radiographs…”
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Can AI distinguish a bone radiograph from photos of flowers or cars? Evaluation of bone age deep learning model on inappropriate data inputs
Published in Skeletal radiology (01-02-2022)“…Objective To evaluate the behavior of a publicly available deep convolutional neural network (DCNN) bone age algorithm when presented with inappropriate data…”
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A Prospective Study of Hippocampal-Sparing Prophylactic Cranial Irradiation (PCI) in Limited Stage Small Cell Lung Cancer (SCLC)
Published in International journal of radiation oncology, biology, physics (01-07-2017)“…Abstract Objectives Neurocognitive toxicity may be related to hippocampal dose. This prospective study evaluated cognitive function and intra-cranial failure…”
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9
Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI
Published in Human brain mapping (01-05-2016)“…Much recent attention has been paid to quantifying anatomic and functional neuroimaging on the individual subject level. For optimal individual subject…”
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10
Circulating Brain-Derived Neurotrophic Factor Has Diagnostic and Prognostic Value in Traumatic Brain Injury
Published in Journal of neurotrauma (15-01-2016)“…Brain-derived neurotrophic factor (BDNF) is important for neuronal survival and regeneration. We investigated the diagnostic and prognostic values of serum…”
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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning
Published in Pediatric radiology (01-07-2019)“…Background An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g.,…”
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12
Your mileage may vary: impact of data input method for a deep learning bone age app’s predictions
Published in Skeletal radiology (01-02-2022)“…Objective The purpose of this study was to evaluate agreement in predictions made by a bone age prediction application (“app”) among three data input methods…”
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13
Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs
Published in Journal of digital imaging (01-12-2019)“…Ensuring correct radiograph view labeling is important for machine learning algorithm development and quality control of studies obtained from multiple…”
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14
Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks
Published in Journal of digital imaging (01-08-2019)“…Machine learning has several potential uses in medical imaging for semantic labeling of images to improve radiologist workflow and to triage studies for…”
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15
Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth
Published in NeuroImage (Orlando, Fla.) (01-09-2013)“…Although it is well known that many clinical and genetic factors have been associated with beta-amyloid deposition, few studies have examined the interactions…”
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16
Delayed posthypoxic leukoencephalopathy: a case series and review of the literature
Published in Brain and behavior (01-08-2015)“…Background Delayed posthypoxic leukoencephalopathy (DPHL) is a rare and underrecognized entity where patients manifest a neurological relapse after initial…”
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17
Safety of Bedside Portable Low-Field Brain MRI in ECMO Patients Supported on Intra-Aortic Balloon Pump
Published in Diagnostics (Basel) (01-11-2022)“…(1) Background: Fifty percent of patients supported on veno-arterial extracorporeal membrane oxygenation (VA-ECMO) are concurrently supported with an…”
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Detection of Acute Brain Injury in Intensive Care Unit Patients on ECMO Support Using Ultra-Low-Field Portable MRI: A Retrospective Analysis Compared to Head CT
Published in Diagnostics (Basel) (01-03-2024)“…Early detection of acute brain injury (ABI) is critical to intensive care unit (ICU) patient management and intervention to decrease major complications. Head…”
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19
External ventricular drain use is associated with functional outcome in aneurysmal subarachnoid hemorrhage
Published in Neurological research and practice (27-06-2022)“…Abstract Purpose External ventricular drains (EVD) are commonly used in aneurysmal subarachnoid hemorrhage (aSAH) patients and can be life-saving by diverting…”
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20
Resting brain activity in disorders of consciousness: A systematic review and meta-analysis
Published in Neurology (24-03-2015)“…OBJECTIVE:To quantitatively synthesize results from neuroimaging studies that evaluated patterns of resting functional activity in patients with disorders of…”
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