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Gengyan Zhao
Gengyan Zhao
Siemens Healthineers
Dirección de correo verificada de siemens-healthineers.com
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Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging
F Liu, Z Zhou, H Jang, A Samsonov, G Zhao, R Kijowski
Magnetic resonance in medicine 79 (4), 2379-2391, 2018
3262018
Deep convolutional neural network for segmentation of knee joint anatomy
Z Zhou, G Zhao, R Kijowski, F Liu
Magnetic resonance in medicine 80 (6), 2759-2770, 2018
2022018
A deep learning approach for 18F-FDG PET attenuation correction
F Liu, H Jang, R Kijowski, G Zhao, T Bradshaw, AB McMillan
EJNMMI physics 5, 1-15, 2018
1132018
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
G Zhao, F Liu, JA Oler, ME Meyerand, NH Kalin, RM Birn
Neuroimage 175, 32-44, 2018
772018
Deep learning based MRAC using rapid ultrashort echo time imaging
H Jang, F Liu, G Zhao, T Bradshaw, AB McMillan
Medical physics 45 (8), 3697-3704, 2018
592018
Feasibility of deep learning–based PET/MR attenuation correction in the pelvis using only diagnostic MR images
TJ Bradshaw, G Zhao, H Jang, F Liu, AB McMillan
Tomography 4 (3), 138-147, 2018
542018
Brain aging in temporal lobe epilepsy: Chronological, structural, and functional
G Hwang, B Hermann, VA Nair, LL Conant, K Dabbs, J Mathis, CJ Cook, ...
NeuroImage: Clinical 25, 102183, 2020
392020
Using low-frequency oscillations to detect temporal lobe epilepsy with machine learning
G Hwang, VA Nair, J Mathis, CJ Cook, R Mohanty, G Zhao, ...
Brain connectivity 9 (2), 184-193, 2019
262019
Feasibility of deep learning-based PET/MR attenuation correction in the pelvis using only diagnostic MR images. Tomography 4: 138–147
TJ Bradshaw, G Zhao, H Jang, F Liu, AB McMillan
142018
Method for correction of rotation errors in Micro-CT System
J Zhao, X Hu, J Zou, G Zhao, H Lv, L Xu, Y Xu, X Hu
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2016
142016
A 3D fully convolutional neural network with top-down attention-guided refinement for accurate and robust automatic segmentation of amygdala and its subnuclei
Y Liu, BM Nacewicz, G Zhao, N Adluru, GR Kirk, PA Ferrazzano, ...
Frontiers in Neuroscience 14, 260, 2020
102020
Accurate automatic segmentation of amygdala subnuclei and modeling of uncertainty via bayesian fully convolutional neural network
Y Liu, G Zhao, BM Nacewicz, N Adluru, GR Kirk, PA Ferrazzano, M Styner, ...
arXiv preprint arXiv:1902.07289, 2019
62019
Bayesian conditional GAN for MRI brain image synthesis
G Zhao, ME Meyerand, RM Birn
arXiv preprint arXiv:2005.11875, 2020
52020
Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity
G Zhao, G Hwang, CJ Cook, F Liu, ME Meyerand, RM Birn
arXiv preprint arXiv:2005.08431, 2020
12020
Developing Deep Learning and Bayesian Deep Learning Based Models for MR Neuroimaging
G Zhao
The University of Wisconsin-Madison, 2019
12019
闪烁体缺陷引起的 CT 图像伪影修复
牛鑫, 赵耕砚, 陈津平, 胡晓东, 邹晶
光电子. 激光 25 (6), 1196-1202, 2014
12014
Bayesian Deep Learning for Uncertainty Generation in MR Image Segmentation
G Zhao, F Liu, ME Meyerand, RM Birn
2018
Cortical Thickness Correlates of Social Cognition Abilities in Temporal Lobe Epilepsy (P2. 240)
J Binder, L Conant, C Anderson, R Birn, C Carlson, EA DeYoe, ...
Neurology 88 (16 Supplement), 2017
2017
Microscopic CT motion error correction method for rotating shaft
X Hu, J Zou, Y Xu, G Zhao, J Chen, X Hu
CN Patent CN103,759,681 A, 2014
2014
显微ct转轴运动误差校正方法
胡晓东, 邹晶, 须颖, 赵耕砚陈津平胡小唐
CN Patent CN103,759,681 A, 2014
2014
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