Jiahong Ouyang - Concepedia

Author

Jiahong Ouyang

Stanford University ORCID

Also Known As

J. Ouyang, J. T. Ouyang, J.T. OUYANG, Jiahong Ouyang, Ouyang, J., Ouyang, Jiahong

Publications

972

Citations

H-Index

Concepts

All Affiliations

Stanford University SRI International Menlo School Stanford Medicine Cedars-Sinai Smidt Heart Institute

About

Jiahong Ouyang is an author at Stanford University specializing in engineering, medical image computing, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	230
2	Medicine	6	6	189
3	Social Sciences	2	2	60
4	Biostatistics	2	2	38
5	Biomedical Engineering	1	1	32

Jiahong Ouyang

Publications

905

Citations

H-Index

Page 1

	Year	Citations
Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss Jiahong Ouyang, Kevin T. Chen, Enhao Gong, Medical Physics	2019	176
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging Yannan Yu, Yuan Xie, Thoralf Thamm, JAMA Network Open	2020	165
mTORC1 activation downregulates FGFR3 and PTH/PTHrP receptor in articular chondrocytes to initiate osteoarthritis Haitao Zhang, Honghao Wang, Chun Zeng, Osteoarthritis and Cartilage InflammationMusculoskeletal ResearchSignal TransductionArticular ChondrocytesBone Morphogenic Protein	2017	75
Deep learning evaluation of biomarkers from echocardiogram videos J. Weston Hughes, Neal Yuan, Bryan He, EBioMedicine	2021	57
Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model Yongkai Liu, Yannan Yu, Jiahong Ouyang, Stroke	2023	54
Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning Kevin T. Chen, M Schürer, Jiahong Ouyang, European Journal of Nuclear Medicine and Molecular Imaging Neuroimaging BiomarkersEngineeringMachine LearningDeep LearningData Science	2020	47
Representation Disentanglement for Multi-modal Brain MRI Analysis Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Lecture notes in computer science Computational NeuroscienceBrain AnalysisNeuroimagingRepresentation DisentanglementNeuroscience	2021	41
Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke Yannan Yu, Yuan Xie, Thoralf Thamm, American Journal of Neuroradiology	2021	33
Accurate tissue interface segmentation via adversarial pre-segmentation of anterior segment OCT images Jiahong Ouyang, Tejas Sudharshan Mathai, Kira L. Lathrop, Biomedical Optics Express EngineeringAdvanced ImagingBiomedical EngineeringCgan DesignDiagnostic Imaging	2019	32
Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning Yannan Yu, Sören Christensen, Jiahong Ouyang, Radiology	2022	27

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