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Kyle Hasenstab

5PUBLICATIONS
12CO-AUTHORS
Learning, motivation and emotionRespiratory diseasesNeural networksEpidemiological modellingChemical and thermal processes in energy and combustion
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Journal

Publications (5)

Sort by Publication Date:
|Dec 12, 2024
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

|Sep 11, 2023
Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CT.

Elizabeth Bird, Kyle Hasenstab, Nick Kim

|Feb 11, 2022
CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT.

Kyle A Hasenstab, Joseph Tabalon, Nancy Yuan

|May 10, 2021
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

|Jan 15, 2021
CNN color-coded difference maps accurately display longitudinal changes in liver MRI-PDFF.

Kyle Hasenstab, Guilherme Moura Cunha, Shintaro Ichikawa

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Frequent Collaborators

2 joint publications

Nancy Yuan

2 joint publications

Tara Retson

2 joint publications

Seth Kligerman

2 joint publications

Albert Hsiao

1 joint publications

David A Lynch

1 joint publications

Amanda N Lee

1 joint publications

Elizabeth Bird

1 joint publications

Nick Kim

1 joint publications

Michael Madani

1 joint publications

Atul Malhotra

Frequent Collaborators

2 joint publications

Nancy Yuan

2 joint publications

Tara Retson

2 joint publications

Seth Kligerman

2 joint publications

Albert Hsiao

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