Publications by authors named "Jennifer Polson"

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Extended Reality in Health Care Simulation: Current State, Challenges, and Future Directions.
Bethany Cieslowski, Mindi Anderson, Kristen M Brown, Frank Guido-Sanz, Beth Fentress Hallmark, Jennifer Polson

Nurse Educ· October 2025

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Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning.
Iris E Chen, Brian Tsui, Haoyue Zhang, Joe X Qiao, William Hsu, Jennifer Polson

Interv Neuroradiol· February 2025

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A Deep Learning Approach to Predict Recanalization First-Pass Effect following Mechanical Thrombectomy in Patients with Acute Ischemic Stroke.
Haoyue Zhang, Jennifer S Polson, Zichen Wang, Kambiz Nael, Neal M Rao

AJNR Am J Neuroradiol· August 2024

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Perfusion Collateral Index versus Hypoperfusion Intensity Ratio in Assessment of Collaterals in Patients with Acute Ischemic Stroke.
Brian Tsui, Iris E Chen, May Nour, Shingo Kihira, Elham Tavakkol, Jennifer Polson

AJNR Am J Neuroradiol· November 2023

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Integrating Battlefield Documentation into Virtual Reality Medical Simulation Training: Virtual Battlefield Assisted Trauma Distributed Observation Kit (BATDOK).
Karthik V Sarma, Michael G Barrie, John R Dorsch, Tanner W Andre, Jennifer S Polson

Mil Med· November 2023

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Multi-Parametric Radiomic Model to Predict 1p/19q Co-Deletion in Patients with IDH-1 Mutant Glioma: Added Value to the T2-FLAIR Mismatch Sign.
Shingo Kihira, Ahrya Derakhshani, Michael Leung, Keon Mahmoudi, Adam Bauer, Jennifer Polson

Cancers (Basel)· February 2023

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Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning.
Jennifer S Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Y Yoo

J Neuroimaging· November 2022

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PathAL: An Active Learning Framework for Histopathology Image Analysis.
Wenyuan Li, Jiayun Li, Zichen Wang, Jennifer Polson, Anthony E Sisk

IEEE Trans Med Imaging· May 2022

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High resolution histopathology image generation and segmentation through adversarial training.
Wenyuan Li, Jiayun Li, Jennifer Polson, Zichen Wang, William Speier

Med Image Anal· January 2022

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A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis.
Jennifer Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo

Annu Int Conf IEEE Eng Med Biol Soc· November 2021

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A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features.
Haoyue Zhang, Jennifer Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo

IEEE EMBS Int Conf Biomed Health Inform· July 2021

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Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.
Haoyue Zhang, Jennifer S Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo

Comput Med Imaging Graph· June 2021

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Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine.
Peipei Ping, Henning Hermjakob, Jennifer S Polson, Panagiotis V Benos, Wei Wang

Circ Res· April 2018

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Equipping Physiologists with an Informatics Tool Chest: Toward an Integerated Mitochondrial Phenome.
Anders Olav Garlid, Jennifer S Polson, Keith D Garlid, Henning Hermjakob, Peipei Ping

Handb Exp Pharmacol· December 2017

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