Zhicheng Jiao
Zhicheng Jiao
Warren Alpert Medical School of Brown University
Verified email at brown.edu - Homepage
Title
Cited by
Cited by
Year
A deep feature based framework for breast masses classification
Z Jiao, X Gao, Y Wang, J Li
Neurocomputing 197, 221-231, 2016
2102016
Deep Convolutional Neural Networks for mental load classification based on EEG data
Z Jiao, X Gao, Y Wang, J Li
Pattern Recognition 76, 582-595, 2018
1082018
A parasitic metric learning net for breast mass classification based on mammography
Z Jiao, X Gao, Y Wang, J Li
Pattern Recognition 75, 292-301, 2018
602018
Deep learning of static and dynamic brain functional networks for early MCI detection
TE Kam, H Zhang, Z Jiao, D Shen
IEEE transactions on medical imaging 39 (2), 478-487, 2019
292019
An attention-guided deep regression model for landmark detection in cephalograms
Z Zhong, J Li, Z Zhang, Z Jiao, X Gao
MICCAI 2019, 540-548, 2019
272019
Hybrid Graph Neural Networks for Crowd Counting
A Luo, F Yang, X Li, D Nie, Z Jiao, S Zhou, H Cheng
AAAI 2020, 2020
202020
Cascade graph neural networks for rgb-d salient object detection
A Luo, X Li, F Yang, Z Jiao, H Cheng, S Lyu
ECCV 2020, 346-364, 2020
182020
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading
P Huang, D Li, Z Jiao, D Wei, G Li, Q Wang, H Zhang, D Shen
MICCAI 2019, 155-163, 2019
132019
Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients
Z Tang, Y Xu, L Jin, A Aibaidula, J Lu, Z Jiao, J Wu, H Zhang, D Shen
IEEE transactions on medical imaging 39 (6), 2100-2109, 2020
122020
Mammographic mass detection based on saliency with deep features
Y Hu, J Li, Z Jiao
ICIMCS 2016, 292-297, 2016
122016
Webly-supervised learning for salient object detection
A Luo, X Li, F Yang, Z Jiao, H Cheng
Pattern Recognition 103, 107308, 2020
92020
Decoding EEG by visual-guided deep neural networks
Z Jiao, H You, F Yang, X Li, H Zhang, D Shen
IJCAI 2019, 1387-1393, 2019
92019
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation
Z Zhang, J Li, Z Zhong, Z Jiao, X Gao
arXiv preprint arXiv:1906.07367, 2019
92019
Progressive sub-band residual-learning network for MR image super resolution
X Xue, Y Wang, J Li, Z Jiao, Z Ren, X Gao
IEEE journal of biomedical and health informatics 24 (2), 377-386, 2019
72019
Asymmetry Analysis with sparse autoencoder in mammography
D Yang, Y Wang, Z Jiao
ICIMCS 2016, 287-291, 2016
62016
Pre-operative overall survival time prediction for glioblastoma patients using deep learning on both imaging phenotype and genotype
Z Tang, Y Xu, Z Jiao, J Lu, L Jin, A Aibaidula, J Wu, Q Wang, H Zhang, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
52019
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis
Z Jiao, P Huang, TE Kam, LM Hsu, Y Wu, H Zhang, D Shen
MICCAI 2019, 620-628, 2019
52019
Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning
Z Ren, J Li, X Xue, X Li, F Yang, Z Jiao, X Gao
NeuroImage, 117602, 2021
3*2021
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment
Z Zhong, J Li, Z Zhang, Z Jiao, X Gao
MICCAI 2019 Workshop, 101-106, 2019
32019
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI
TE Kam, X Wen, B Jin, Z Jiao, LM Hsu, Z Zhou, Y Liu, K Yamashita, ...
MICCAI 2019, 754-762, 2019
32019
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