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Kyle Hasenstab

Showing results (1-10 of 22) with videos related to

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Scientific Reports|November 24, 2020
Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessmentWenyi Lin, Kyle Hasenstab, Guilherme Moura Cunha, et al.
Biostatistics (Oxford, England)|February 6, 2016
Robust functional clustering of ERP data with application to a study of implicit learning in autismKyle Hasenstab, Catherine Sugar, Donatello Telesca, et al.
Brain Imaging and Behavior|January 8, 2015
Physiologic artifacts in resting state oscillations in young children: methodological considerations for noisy dataKevin McEvoy, Kyle Hasenstab, Damla Senturk, et al.
Biometrics|July 22, 2015
Identifying longitudinal trends within EEG experimentsKyle Hasenstab, Catherine A Sugar, Donatello Telesca, et al.
Annals of the American Thoracic Society|July 13, 2022
Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary DiseaseNancy F Yuan, Kyle Hasenstab, Tara Retson, et al.
Biometrics|January 11, 2017
A multi-dimensional functional principal components analysis of EEG dataKyle Hasenstab, Aaron Scheffler, Donatello Telesca, et al.
Radiology. Cardiothoracic Imaging|September 11, 2025
Clinical Implementation of Inspiratory-Expiratory Chest CT: Defining Quality Criteria for Diagnostic Quality and Detection of Concurrent FEV<sub>1</sub> Decline following Lung TransplantationRoshun Sankaran, Alexander Cypro, Kyle Hasenstab, et al.
Radiology. Cardiothoracic Imaging|September 11, 2023
Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CTElizabeth Bird, Kyle Hasenstab, Nick Kim, et al.
Plos One|August 8, 2025
Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept studyMd Nasir, Yixi Xu, Kyle Hasenstab, et al.
Ophthalmology|March 13, 2019
Measurement Floors and Dynamic Ranges of OCT and OCT Angiography in GlaucomaSasan Moghimi, Christopher Bowd, Linda M Zangwill, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Scientific Reports|November 24, 2020
Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessmentWenyi Lin, Kyle Hasenstab, Guilherme Moura Cunha, et al.
Biostatistics (Oxford, England)|February 6, 2016
Robust functional clustering of ERP data with application to a study of implicit learning in autismKyle Hasenstab, Catherine Sugar, Donatello Telesca, et al.
Brain Imaging and Behavior|January 8, 2015
Physiologic artifacts in resting state oscillations in young children: methodological considerations for noisy dataKevin McEvoy, Kyle Hasenstab, Damla Senturk, et al.
Biometrics|July 22, 2015
Identifying longitudinal trends within EEG experimentsKyle Hasenstab, Catherine A Sugar, Donatello Telesca, et al.
Annals of the American Thoracic Society|July 13, 2022
Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary DiseaseNancy F Yuan, Kyle Hasenstab, Tara Retson, et al.
Biometrics|January 11, 2017
A multi-dimensional functional principal components analysis of EEG dataKyle Hasenstab, Aaron Scheffler, Donatello Telesca, et al.
Radiology. Cardiothoracic Imaging|September 11, 2025
Clinical Implementation of Inspiratory-Expiratory Chest CT: Defining Quality Criteria for Diagnostic Quality and Detection of Concurrent FEV<sub>1</sub> Decline following Lung TransplantationRoshun Sankaran, Alexander Cypro, Kyle Hasenstab, et al.
Radiology. Cardiothoracic Imaging|September 11, 2023
Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CTElizabeth Bird, Kyle Hasenstab, Nick Kim, et al.
Plos One|August 8, 2025
Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept studyMd Nasir, Yixi Xu, Kyle Hasenstab, et al.
Ophthalmology|March 13, 2019
Measurement Floors and Dynamic Ranges of OCT and OCT Angiography in GlaucomaSasan Moghimi, Christopher Bowd, Linda M Zangwill, et al.
Pageof 3