Zhicheng Jiao
Zhicheng Jiao
Warren Alpert Medical School of Brown University
Verified email at - 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
MGL: Mutual graph learning for camouflaged object detection
Q Zhai, X Li, F Yang, Z Jiao, P Luo, H Cheng, Z Liu
IEEE Transactions on Image Processing 32, 1897-1910, 2022
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
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
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
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
Hybrid Graph Neural Networks for Crowd Counting
A Luo, F Yang, X Li, D Nie, Z Jiao, S Zhou, H Cheng
AAAI 2020, 2020
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
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
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
R Wang, Z Jiao, L Yang, JW Choi, Z Xiong, K Halsey, TML Tran, I Pan, ...
European radiology 32, 205-212, 2022
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
Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT
B Huang, J Sollee, YH Luo, A Reddy, Z Zhong, J Wu, J Mammarappallil, ...
EBioMedicine 82, 2022
COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data
J Cheng, J Sollee, C Hsieh, H Yue, N Vandal, J Shanahan, JW Choi, ...
European radiology 32 (7), 4446-4456, 2022
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
International Conference on Medical Image Computing and Computer-Assisted …, 2019
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
CK Kim, JW Choi, Z Jiao, D Wang, J Wu, TY Yi, KC Halsey, F Eweje, ...
NPJ Digital Medicine 5 (1), 5, 2022
Identifying the histologic subtypes of non-small cell lung cancer with computed tomography imaging: a comparative study of capsule net, convolutional neural network, and radiomics
H Liu, Z Jiao, W Han, B Jing
Quantitative Imaging in Medicine and Surgery 11 (6), 2756, 2021
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
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 (7), 1213, 2021
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