Yaozong Gao
Yaozong Gao
United Imaging Intelligence (UII), Shanghai
Verified email at - 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
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ...
Medical image analysis 67, 101821, 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
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
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
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
ASDNet: Attention based semi-supervised deep networks for medical image segmentation
D Nie, Y Gao, L Wang, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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: First …, 2016
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
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
Representation learning: a unified deep learning framework for automatic prostate MR segmentation
S Liao, Y Gao, A Oto, D Shen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
Adaptive feature selection guided deep forest for covid-19 classification with chest ct
L Sun, Z Mo, F Yan, L Xia, F Shan, Z Ding, B Song, W Gao, W Shao, F Shi, ...
IEEE Journal of Biomedical and Health Informatics 24 (10), 2798-2805, 2020
Unsupervised deep feature learning for deformable registration of MR brain images
G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 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
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
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
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction
F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
Medical physics 48 (4), 1633-1645, 2021
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
Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images
X Liu, Q Yuan, Y Gao, K He, S Wang, X Tang, J Tang, D Shen
Pattern recognition 122, 108341, 2022
The system can't perform the operation now. Try again later.
Articles 1–20