Jiahong Ouyang
Jiahong Ouyang
Ph.D. Student from Electrical Engineering, Stanford University
Verified email at - Homepage
Cited by
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Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss
J Ouyang, KT Chen, E Gong, J Pauly, G Zaharchuk
Medical physics 46 (8), 3555-3564, 2019
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ...
JAMA Network Open 3 (3), e200772-e200772, 2020
Deep learning evaluation of biomarkers from echocardiogram videos
JW Hughes, N Yuan, B He, J Ouyang, J Ebinger, P Botting, J Lee, ...
EBioMedicine 73, 103613, 2021
Representation Disentanglement for Multi-modal Brain MRI Analysis
J Ouyang, E Adeli, KM Pohl, Q Zhao, G Zaharchuk
International Conference on Information Processing in Medical Imaging, 321-333, 2021
Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning
KT Chen, M Schürer, J Ouyang, MEI Koran, G Davidzon, E Mormino, ...
European journal of nuclear medicine and molecular imaging 47, 2998-3007, 2020
Accurate tissue interface segmentation via adversarial pre-segmentation of anterior segment OCT images
J Ouyang, TS Mathai, K Lathrop, J Galeotti
Biomedical optics express 10 (10), 5291-5324, 2019
Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, S Christensen, MP Marks, ...
American Journal of Neuroradiology 42 (6), 1030-1037, 2021
Fingerprint pose estimation based on faster R-CNN
J Ouyang, J Feng, J Lu, Z Guo, J Zhou
2017 IEEE International Joint Conference on Biometrics (IJCB), 268-276, 2017
Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information
J Xu, E Gong, J Ouyang, J Pauly, G Zaharchuk
Medical Imaging 2020: Image Processing 11313, 420-432, 2020
Self-supervised longitudinal neighbourhood embedding
J Ouyang, Q Zhao, E Adeli, EV Sullivan, A Pfefferbaum, G Zaharchuk, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs.
J Ouyang, Q Zhao, EV Sullivan, A Pfefferbaum, SF Taper, E Adeli, ...
IEEE Journal of Biomedical and Health Informatics, 2020
Predicting hypoperfusion lesion and target mismatch in stroke from diffusion-weighted MRI using deep learning
Y Yu, S Christensen, J Ouyang, F Scalzo, DS Liebeskind, MG Lansberg, ...
Radiology, 220882, 2022
Self-supervised learning of neighborhood embedding for longitudinal MRI
J Ouyang, Q Zhao, E Adeli, G Zaharchuk, KM Pohl
Medical Image Analysis 82, 102571, 2022
Task-GAN: Improving generative adversarial network for image reconstruction
J Ouyang, G Wang, E Gong, K Chen, J Pauly, G Zaharchuk
Machine Learning for Medical Image Reconstruction: Second International …, 2019
Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning
J Khankari, Y Yu, J Ouyang, R Hussein, HM Do, JJ Heit, G Zaharchuk
Journal of NeuroInterventional Surgery 15 (6), 521-525, 2023
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI
J Ouyang, Q Zhao, E Adeli, G Zaharchuk, KM Pohl
IEEE Transactions on Medical Imaging 41 (10), 2558-2569, 2022
Predicting FDG‐PET images from multi‐contrast MRI using deep learning in patients with brain neoplasms
J Ouyang, KT Chen, R Duarte Armindo, GA Davidzon, KE Hawk, F Moradi, ...
Journal of Magnetic Resonance Imaging 59 (3), 1010-1020, 2024
Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model
Y Liu, Y Yu, J Ouyang, B Jiang, G Yang, S Ostmeier, M Wintermark, ...
Stroke 54 (9), 2316-2327, 2023
Weakly Semi-supervised Detection in Lung Ultrasound Videos
J Ouyang, L Chen, GY Li, N Balaraju, S Patil, C Mehanian, S Kulhare, ...
IPMI 2023: Information Processing in Medical Imaging, 195-207, 2023
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
M Baharoon, W Qureshi, J Ouyang, Y Xu, K Phol, A Aljouie, W Peng
arXiv preprint arXiv:2312.02366, 2023
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