volBrain: online MRI brain volumetry system
The amount of medical image data produced in clinical and research settings is rapidly growing resulting in vast amount of […]
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Evidence-based validation of our impact on neuroimaging
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Automated volumetry for prediction of MMSE and CDR decline
High-throughput, fully automated volumetry for prediction of MMSE and CDR decline in mild cognitive impairment This study examined whether measures
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Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders
This systematic review describes and compares the technical characteristics of the available tools, with the aim to assess their translational
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LesionQuant for assessment of MRI in MS
LesionQuant for assessment of MRI in MS —a promising supplement to the visual scan inspection Quantitative measurements of lesion volume,
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Use of brain and spinal cord atrophy measures in clinical practice
MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice Based on the evidence
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Clinical relevance of brain volume measures in MS
Findings from a number of recent studies have prompted debates on the clinical relevance of brain volume change as a
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Brain volumetry complements clinical evaluation of MS patients
MRI-based brain volumetry at a single time point complements clinical evaluation of patients with multiple sclerosis in an outpatient setting
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Subject Classification for Autism Spectrum Disorder Using Machine Learning and Radiomics
Weidong Luo [1], Yu Miao [3], Sebastian Magda 1, Aziz M.Ulug [1,2], Robert K. Haxton [1], Robert Melton [1], Linh
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Deep Learning Enables Accurate Quantitative Volumetric Brain MRI with 2x Faster Scan Times
Authors: Long Wang [1] , Suzie Bash [2], Sara Dupont [1], Sebastian Magda [3], Chris Airriess [3], Enhao Gong [1],
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Performance Evaluation for Multiple Sclerosis Identification Models Based on MRI Imaging and Machine Learning
Cortechs.ai’ abstract titled “Determining Brain Age Using Machine Learning Combined With Automated Brain Segmentation and PET imaging In Normal, Alzheimer’s
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Poster – Automated Segmentation of MS Brain Lesions
Cortechs.ai was pleased to have this UC San Diego School of Medicine poster presented at ACTRIMS Forum 2018 Automated quantitative
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Poster – Performance Evaluation for Automated Lesion Segmentation Tool: LesionQuant
Cortechs.ai was pleased to present this poster at AAN in Boston – April 2017. Quantitative measures such as lesion volume
