Publications by authors named "Kyle A Hasenstab"

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Relationship between spleen volume and diameter for assessment of response to treatment on CT in patients with hematologic malignancies enrolled in clinical trials.
Kyle A Hasenstab, Jie Lu, Lambert T Leong, Emily Bossard, Evye Pylarinou-Sinclair

Abdom Radiol (NY)· December 2025

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Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.
Amanda N Lee, Albert Hsiao, Kyle A Hasenstab

Radiol Cardiothorac Imaging· December 2024

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Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.
Kyle A Hasenstab, Lewis Hahn, Nick Chao, Albert Hsiao

Sci Rep· October 2024

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Signal Intensity Trajectories Clustering for Liver Vasculature Segmentation and Labeling (LiVaS) on Contrast-Enhanced MR Images: A Feasibility Pilot Study.
Mladen Zecevic, Kyle A Hasenstab, Kang Wang, Manish Dhyani, Guilherme Moura Cunha

J Imaging Inform Med· April 2024

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Automated CNN-Based Analysis Versus Manual Analysis for MR Elastography in Nonalcoholic Fatty Liver Disease: Intermethod Agreement and Fibrosis Stage Discriminative Performance.
Guilherme M Cunha, Timoteo I Delgado, Michael S Middleton, Sam Liew, Walter C Henderson, Kyle A Hasenstab

AJR Am J Roentgenol· August 2022

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Reader Perceptions and Impact of AI on CT Assessment of Air Trapping.
Tara A Retson, Kyle A Hasenstab, Seth J Kligerman, Kathleen E Jacobs, Andrew C Yen

Radiol Artif Intell· March 2022

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Erratum: Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.
Kyle A Hasenstab, Nancy Yuan, Tara Retson, Douglas J Conrad, Seth Kligerman

Radiol Cardiothorac Imaging· February 2022

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CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT.
Kyle A Hasenstab, Joseph Tabalon, Nancy Yuan, Tara Retson, Albert Hsiao

Radiol Artif Intell· January 2022

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Erratum: CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT.
Kyle A Hasenstab, Joseph Tabalon, Nancy Yuan, Tara Retson, Albert Hsiao

Radiol Artif Intell· January 2022

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Multi-arterial phase MRI depicts inconsistent arterial phase hyperenhancement (APHE) subtypes in liver observations of patients at risk for hepatocellular carcinoma.
Guilherme Moura Cunha, Kyle A Hasenstab, Timoteo Delgado, Shintaro Ichikawa, Min Hee Lee

Eur Radiol· October 2021

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Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.
Kyle A Hasenstab, Nancy Yuan, Tara Retson, Douglas J Conrad, Seth Kligerman

Radiol Cardiothorac Imaging· April 2021

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Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time.
Guilherme Moura Cunha, Kyle A Hasenstab, Atsushi Higaki, Kang Wang, Timo Delgado

Eur J Radiol· March 2020

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Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images.
Kyle A Hasenstab, Guilherme Moura Cunha, Atsushi Higaki, Shintaro Ichikawa, Kang Wang

Eur Radiol Exp· October 2019

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Association of Macular and Circumpapillary Microvasculature with Visual Field Sensitivity in Advanced Glaucoma.
Elham Ghahari, Christopher Bowd, Linda M Zangwill, James Proudfoot, Kyle A Hasenstab

Am J Ophthalmol· August 2019

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Macular Vessel Density in Glaucomatous Eyes With Focal Lamina Cribrosa Defects.
Elham Ghahari, Christopher Bowd, Linda M Zangwill, Min Hee Suh, Takuhei Shoji, Kyle A Hasenstab

J Glaucoma· April 2018

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