Jiahong Ouyang

MedicineNeuroscienceComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning”.

Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning

Radiology(2022)10.1148/radiol.220882

N/A

1.0DataRank · unranked

29 citations

Sören Christensen, Jiahong Ouyang, Fabien Scalzo, David S. Liebeskind, Maarten G. Lansberg +3 more

Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning

European Journal of Nuclear Medicine and Molecular Imaging(2020)10.1007/s00259-020-04897-6

N/A

0.584DataRank · unranked

48 citations

M Schürer, Jiahong Ouyang, Mary Ellen I. Koran, Guido Davidzon, Elizabeth C. Mormino +6 more

Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke

American Journal of Neuroradiology(2021)10.3174/ajnr.a7081

N/A

0DataRank · unranked

35 citations

Yuan Xie, Thoralf Thamm, Enhao Gong, Jiahong Ouyang, Sören Christensen +5 more

Self-supervised learning of neighborhood embedding for longitudinal MRI

Medical Image Analysis(2022)10.1016/j.media.2022.102571

N/A

0DataRank · unranked

22 citations

Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl, Jiahong Ouyang

Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3166131

N/A

0DataRank · unranked

13 citations

Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl, Jiahong Ouyang

Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model

Stroke(2023)10.1161/strokeaha.123.044072

N/A

0DataRank · unranked

78 citations

Yannan Yu, Jiahong Ouyang, Bin Jiang, Guang Yang, Sophie Ostmeier +7 more

Predicting FDG‐PET Images From Multi‐Contrast MRI Using Deep Learning in Patients With Brain Neoplasms

Journal of Magnetic Resonance Imaging(2023)10.1002/jmri.28837

N/A

0DataRank · unranked

15 citations

Kevin T. Chen, Rui Duarte Armindo, Guido Davidzon, K. Elizabeth Hawk, Farshad Moradi +5 more

Generative Adversarial Network–Enhanced Ultra-Low-Dose [18F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populations

American Journal of Neuroradiology(2023)10.3174/ajnr.a7961

N/A

0DataRank · unranked

7 citations

Robel Tesfay, Mary Ellen I. Koran, Jiahong Ouyang, Sara Shams, Christina B. Young +6 more

Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs

Medical Image Analysis(2024)10.1016/j.media.2024.103325

N/A

0DataRank · unranked

21 citations

Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum +4 more

Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.0772

N/A

0DataRank · unranked

173 citations

Yuan Xie, Thoralf Thamm, Enhao Gong, Jiahong Ouyang, Charles Huang +6 more

Prediction of Ischemic Stroke Functional Outcomes from Acute-Phase Noncontrast CT and Clinical Information

Radiology(2024)10.1148/radiol.240137

N/A

0DataRank · unranked

14 citations

Yannan Yu, Jiahong Ouyang, Bin Jiang, Sophie Ostmeier, Jia Wang +12 more

Deep learning evaluation of biomarkers from echocardiogram videos

EBioMedicine(2021)10.1016/j.ebiom.2021.103613

N/A

0DataRank · unranked

63 citations

Neal Yuan, Bryan He, Jiahong Ouyang, Joseph E. Ebinger, Patrick Botting +13 more