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Jennifer S. Polson
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 4
Top Topics
Ischemic Stroke
Learning Models
Multiple Instance
Source Domain
Top Venues
CoRR
ICCV (Workshops)
Comput. Medical Imaging Graph.
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Publications
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Haoyue Zhang
,
Jennifer S. Polson
,
Eric J. Yang
,
Kambiz Nael
,
William Speier
,
Corey W. Arnold
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models.
CoRR
(2023)
Mara Pleasure
,
Ekaterina Redekop
,
Jennifer S. Polson
,
Haoyue Zhang
,
Naoki Kaneko
,
William Speier
,
Corey W. Arnold
Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance Learning.
ICCV (Workshops)
(2023)
Haoyue Zhang
,
Jennifer S. Polson
,
Kambiz Nael
,
Noriko Salamon
,
Bryan Yoo
,
Suzie El-Saden
,
Fabien Scalzo
,
William Speier
,
Corey W. Arnold
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.
Comput. Medical Imaging Graph.
90 (2021)
Haoyue Zhang
,
Jennifer S. Polson
,
Kambiz Nael
,
Noriko Salamon
,
Bryan Yoo
,
Suzie El-Saden
,
Fabien Scalzo
,
William Speier
,
Corey W. Arnold
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time.
CoRR
(2020)