Yaozong Gao
Yaozong Gao
United Imaging Intelligence (UII), Shanghai
Verified email at united-imaging.com - Homepage
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Lung infection quantification of COVID-19 in CT images with deep learning
F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
arXiv preprint arXiv:2003.04655, 2020
Deformable MR prostate segmentation via deep feature learning and sparse patch matching
Y Guo, Y Gao, D Shen
IEEE transactions on medical imaging 35 (4), 1077-1089, 2015
Fully convolutional networks for multi-modality isointense infant brain image segmentation
D Nie, L Wang, Y Gao, D Shen
2016 IEEE 13Th international symposium on biomedical imaging (ISBI), 1342-1345, 2016
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
L Wang, Y Gao, F Shi, G Li, JH Gilmore, W Lin, D Shen
NeuroImage 108, 160-172, 2015
Estimating CT image from MRI data using structured random forest and auto-context model
T Huynh, Y Gao, J Kang, L Wang, P Zhang, J Lian, D Shen
IEEE transactions on medical imaging 35 (1), 174-183, 2015
Representation learning: a unified deep learning framework for automatic prostate MR segmentation
S Liao, Y Gao, A Oto, D Shen
International Conference on Medical image computing and computer-assisted …, 2013
Estimating CT image from MRI data using 3D fully convolutional networks
D Nie, X Cao, Y Gao, L Wang, D Shen
Deep Learning and Data Labeling for Medical Applications, 170-178, 2016
Segmentation of neonatal brain MR images using patch-driven level sets
L Wang, F Shi, G Li, Y Gao, W Lin, JH Gilmore, D Shen
NeuroImage 84, 141-158, 2014
Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification
F Shi, L Xia, F Shan, B Song, D Wu, Y Wei, H Yuan, H Jiang, Y He, Y Gao, ...
Physics in Medicine & Biology 66 (6), 065031, 2021
Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia
X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ...
IEEE Transactions on Medical Imaging 39 (8), 2595-2605, 2020
Asdnet: Attention based semi-supervised deep networks for medical image segmentation
D Nie, Y Gao, L Wang, D Shen
International conference on medical image computing and computer-assisted …, 2018
Unsupervised deep feature learning for deformable registration of MR brain images
G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2013
Detecting anatomical landmarks for fast Alzheimer’s disease diagnosis
J Zhang, Y Gao, Y Gao, BC Munsell, D Shen
IEEE transactions on medical imaging 35 (12), 2524-2533, 2016
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation
L Wang, F Shi, Y Gao, G Li, JH Gilmore, W Lin, D Shen
NeuroImage 89, 152-164, 2014
Alzheimer's disease diagnosis using landmark-based features from longitudinal structural MR images
J Zhang, M Liu, L An, Y Gao, D Shen
IEEE journal of biomedical and health informatics 21 (6), 1607-1616, 2017
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest
L Huang, Y Jin, Y Gao, KH Thung, D Shen, ...
Neurobiology of aging 46, 180-191, 2016
Prostate segmentation by sparse representation based classification
Y Gao, S Liao, D Shen
Medical physics 39 (10), 6372-6387, 2012
Accurate segmentation of CT male pelvic organs via regression-based deformable models and multi-task random forests
Y Gao, Y Shao, J Lian, AZ Wang, RC Chen, D Shen
IEEE transactions on medical imaging 35 (6), 1532-1543, 2016
Sparse patch-based label propagation for accurate prostate localization in CT images
S Liao, Y Gao, J Lian, D Shen
IEEE transactions on medical imaging 32 (2), 419-434, 2012
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