Yaozong Gao
Yaozong Gao
United Imaging Intelligence (UII), Shanghai
Verified email at united-imaging.com - Homepage
TitleCited byYear
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
1542015
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
1462014
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
1372013
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
1262015
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
1072015
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
972016
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
902018
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
822014
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
782016
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
722013
Prostate segmentation by sparse representation based classification
Y Gao, S Liao, D Shen
Medical physics 39 (10), 6372-6387, 2012
702012
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
632012
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
612016
Learning to rank atlases for multiple-atlas segmentation
G Sanroma, G Wu, Y Gao, D Shen
IEEE transactions on medical imaging 33 (10), 1939-1953, 2014
562014
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
512016
Automated bone segmentation from dental CBCT images using patch‐based sparse representation and convex optimization
L Wang, KC Chen, Y Gao, F Shi, S Liao, G Li, SGF Shen, J Yan, PKM Lee, ...
Medical physics 41 (4), 043503, 2014
422014
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
402017
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
402016
Hierarchical Lung Field Segmentation with Joint Shape and Appearance Sparse Learning
Y Shao, Y Gao, Y Guo, Y Shi, X Yang, D Shen
Medical Imaging, IEEE Transactions on, 1-1, 2014
402014
Prostate segmentation in CT images via spatial-constrained transductive lasso
Y Shi, S Liao, Y Gao, D Zhang, Y Gao, D Shen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
292013
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Articles 1–20