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Justin Huynh
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 3
Top Topics
Deep Learning
Unsupervised Feature Learning
Weakly Supervised
Restricted Boltzmann Machine
Top Venues
IEEE Access
MIDL
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Publications
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Kyle Hasenstab
,
Justin Huynh
,
Samira Masoudi
,
Guilherme M. Cunha
,
Michael J. Pazzani
,
Albert Hsiao
Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features.
IEEE Access
11 (2023)
Justin Huynh
,
Samira Masoudi
,
Abraham Noorbakhsh
,
Kyle Hasenstab
,
Michael J. Pazzani
,
Albert Hsiao
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers.
MIDL
(2022)
Justin Huynh
,
Samira Masoudi
,
Abraham Noorbakhsh
,
Amin Mahmoodi
,
Seth Kligerman
,
Andrew Yen
,
Kathleen Jacobs
,
Lewis Hahn
,
Kyle Hasenstab
,
Michael J. Pazzani
,
Albert Hsiao
Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers.
IEEE Access
10 (2022)