Matthew I. Miller
YOU?
Author Swipe
View article: Differential Assessment of Internal Jugular Vein Stenosis in Patients Undergoing CT and MRI with Contrast
Differential Assessment of Internal Jugular Vein Stenosis in Patients Undergoing CT and MRI with Contrast Open
Objective: Internal Jugular Vein Stenosis (IJVS) is hypothesized to play a role in the pathogenesis of diverse neurological diseases. We sought to evaluate differences in IJVS assessment between CT and MRI in a retrospective patient cohort…
View article: Association of structural MRI with Braak staging using neural network‐based risk scoring
Association of structural MRI with Braak staging using neural network‐based risk scoring Open
Background The gold standard of Alzheimer’s disease (AD) diagnosis remains histopathologic examination of neuropathologic changes. However, the dependence on post‐mortem microscopic analysis limits the role of pathology in clinical care. M…
View article: Machine Learning in Clinical Trials: A Primer with Applications to Neurology
Machine Learning in Clinical Trials: A Primer with Applications to Neurology Open
View article: Multimodal deep learning for Alzheimer’s disease dementia assessment
Multimodal deep learning for Alzheimer’s disease dementia assessment Open
View article: Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke
Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke Open
View article: Abstract 1122‐000089: Characterization of Critical Sequelae in Ischemic Stroke Using Natural Language Processing
Abstract 1122‐000089: Characterization of Critical Sequelae in Ischemic Stroke Using Natural Language Processing Open
Introduction : Automated processing of electronic health data to classify complications of ischemic stroke serves numerous purposes, including improved electronic phenotyping for clinical research. Here, we present a natural language proce…
View article: Utilization of mental health services in pediatric patients surviving penetrating trauma resulting from interpersonal violence
Utilization of mental health services in pediatric patients surviving penetrating trauma resulting from interpersonal violence Open
View article: Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports Open
Accurate, automated extraction of clinical stroke information from unstructured text has several important applications. ICD-9/10 codes can misclassify ischemic stroke events and do not distinguish acuity or location. Expeditious, accurate…
View article: Development and validation of a deep learning framework for Alzheimer’s disease classification
Development and validation of a deep learning framework for Alzheimer’s disease classification Open
Alzheimer’s disease (AD) is the primary cause of dementia worldwide ( 1 ), with an increasing morbidity burden that may outstrip diagnosis and management capacity as the population ages. Current methods integrate patient history, neuropsyc…
View article: P1‐119: ENHANCING DEEP LEARNING MODEL PERFORMANCE FOR AD DIAGNOSIS USING ROI‐BASED SELECTION
P1‐119: ENHANCING DEEP LEARNING MODEL PERFORMANCE FOR AD DIAGNOSIS USING ROI‐BASED SELECTION Open
Utilization of 3D neuroimaging data for AD diagnosis has been of great interest in recent years. Deep learning algorithms based on convolutional neural networks (CNN) are increasingly being considered for analyzing MR scans to diagnose cog…