| A deep feature based framework for breast masses classification Z Jiao, X Gao, Y Wang, J Li Neurocomputing 197, 221-231, 2016 | 360 | 2016 |
| 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 | 227* | 2022 |
| 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 | 218 | 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 | 138 | 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 | 125 | 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 | 116 | 2019 |
| 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 | 114 | 2018 |
| 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 | 110 | 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 | 90 | 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 | 86 | 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 | 80 | 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 | 55 | 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 | 45 | 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 | 37 | 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 | 34 | 2022 |
| 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 | 29 | 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 | 28 | 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 | 28 | 2019 |
| 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 | 24 | 2021 |
| Discriminative error prediction network for semi-supervised colon gland segmentation Z Zhang, C Tian, HX Bai, Z Jiao, X Tian Medical image analysis 79, 102458, 2022 | 23 | 2022 |
