Zhicheng Jiao
Zhicheng Jiao
Warren Alpert Medical School of Brown University
Verified email at brown.edu - Homepage
Cited by
Cited by
A deep feature based framework for breast masses classification
Z Jiao, X Gao, Y Wang, J Li
Neurocomputing 197, 221-231, 2016
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
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
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
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
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
Hybrid Graph Neural Networks for Crowd Counting
A Luo, F Yang, X Li, D Nie, Z Jiao, S Zhou, H Cheng
AAAI 2020, 2020
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
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
Mammographic mass detection based on saliency with deep features
Y Hu, J Li, Z Jiao
ICIMCS 2016, 292-297, 2016
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Z Jiao, JW Choi, K Halsey, TML Tran, B Hsieh, D Wang, F Eweje, R Wang, ...
The Lancet Digital Health 3 (5), e286-e294, 2021
Webly-supervised learning for salient object detection
A Luo, X Li, F Yang, Z Jiao, H Cheng
Pattern Recognition 103, 107308, 2020
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
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
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
Asymmetry Analysis with sparse autoencoder in mammography
D Yang, Y Wang, Z Jiao
ICIMCS 2016, 287-291, 2016
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
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
Machine learning-based prediction of COVID-19 severity and progression to critical illness using CT imaging and clinical data
S Purkayastha, Y Xiao, Z Jiao, R Thepumnoeysuk, K Halsey, J Wu, ...
Korean Journal of Radiology 22, 2021
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
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