Jennifer Polson - Concepedia

Author

Jennifer Polson

University of California, Los Angeles ORCID

Also Known As

J. Polson, Jennifer Polson, Jennifer S Polson, Jennifer S. Polson, Polson, Jennifer, Polson, Jennifer S.

Publications

229

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles Computational Diagnostics (United States)Phoenix VA Health Care System

About

Jennifer Polson is an author at University of California, Los Angeles specializing in computer vision, deep learning, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	77
2	Medicine	3	3	97
3	Neurology	2	2	48
4	Computer Science	1	1	16
5	Data Science	1	1	16

Jennifer Polson

Publications

198

Citations

H-Index

Page 1

	Year	Citations
High resolution histopathology image generation and segmentation through adversarial training Wenyuan Li, Jiayun Li, Jennifer Polson, Medical Image Analysis Image AnalysisEngineeringDeep LearningMedical ImagingDigital Pathology	2021	49
PathAL: An Active Learning Framework for Histopathology Image Analysis Wenyuan Li, Jiayun Li, Zichen Wang, IEEE Transactions on Medical Imaging	2021	38
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time Haoyue Zhang, Jennifer Polson, Kambiz Nael, Computerized Medical Imaging and Graphics Ischemic StrokeMedicineStroke-related ConditionCerebrovascular DiseaseNeuroimaging	2021	36
Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning Jennifer Polson, Haoyue Zhang, Kambiz Nael, Journal of Neuroimaging	2022	21
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach Wenyuan Li, Zichen Wang, Jiayun Li, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningGenerative SystemGood Gan	2019	16
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, M.C.P. Leung, Cancers	2023	16
A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features Haoyue Zhang, Jennifer Polson, Kambiz Nael, EngineeringMachine LearningMachine Learning ApproachCerebrovascular DiseaseThrombosis	2021	12
Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning Iris Chen, Brian Tsui, Haoyue Zhang, Interventional Neuroradiology	2022	10

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