Wei Shao
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MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
T Wang, W Shao, Z Huang, H Tang, J Zhang, Z Ding, K Huang
Nature communications 12 (1), 3445, 2021
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
BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes
T Wang, TS Johnson, W Shao, Z Lu, BR Helm, J Zhang, K Huang
Genome biology 20, 1-15, 2019
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease
W Shao, Y Peng, C Zu, M Wang, D Zhang, ...
Computerized Medical Imaging and Graphics 80, 101663, 2020
Deep-learning–based characterization of tumor-infiltrating lymphocytes in breast cancers from histopathology images and multiomics data
Z Lu, S Xu, W Shao, Y Wu, J Zhang, Z Han, Q Feng, K Huang
JCO clinical cancer informatics 4, 480-490, 2020
Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11. 2 translocation renal cell carcinoma
J Cheng, Z Han, R Mehra, W Shao, M Cheng, Q Feng, D Ni, K Huang, ...
Nature communications 11 (1), 1778, 2020
Integrative analysis of pathological images and multi-dimensional genomic data for early-stage cancer prognosis
W Shao, Z Han, J Cheng, L Cheng, T Wang, L Sun, Z Lu, J Zhang, ...
IEEE transactions on medical imaging 39 (1), 99-110, 2019
Anatomical attention guided deep networks for ROI segmentation of brain MR images
L Sun, W Shao, D Zhang, M Liu
IEEE transactions on medical imaging 39 (6), 2000-2012, 2019
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers
W Shao, T Wang, L Sun, T Dong, Z Han, Z Huang, J Zhang, D Zhang, ...
Medical image analysis 65, 101795, 2020
Recent advances of deep learning for computational histopathology: principles and applications
Y Wu, M Cheng, S Huang, Z Pei, Y Zuo, J Liu, K Yang, Q Zhu, J Zhang, ...
Cancers 14 (5), 1199, 2022
Weakly supervised deep ordinal cox model for survival prediction from whole-slide pathological images
W Shao, T Wang, Z Huang, Z Han, J Zhang, K Huang
IEEE Transactions on Medical Imaging 40 (12), 3739-3747, 2021
High-order feature learning for multi-atlas based label fusion: Application to brain segmentation with MRI
L Sun, W Shao, M Wang, D Zhang, M Liu
IEEE Transactions on Image Processing 29, 2702-2713, 2019
Ordinal multi-modal feature selection for survival analysis of early-stage renal cancer
W Shao, J Cheng, L Sun, Z Han, Q Feng, D Zhang, K Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Deep active learning for nucleus classification in pathology images
W Shao, L Sun, D Zhang
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images
Z Huang, W Shao, Z Han, AM Alkashash, C De la Sancha, AV Parwani, ...
NPJ Precision Oncology 7 (1), 14, 2023
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer’s disease
M Wang, X Hao, J Huang, W Shao, D Zhang
Bioinformatics 35 (11), 1948-1957, 2019
Human cell structure-driven model construction for predicting protein subcellular location from biological images
W Shao, M Liu, D Zhang
Bioinformatics 32 (1), 114-121, 2016
Applying interpretable deep learning models to identify chronic cough patients using EHR data
X Luo, P Gandhi, Z Zhang, W Shao, Z Han, V Chandrasekaran, ...
Computer Methods and Programs in Biomedicine 210, 106395, 2021
Multimodal triplet attention network for brain disease diagnosis
Q Zhu, H Wang, B Xu, Z Zhang, W Shao, D Zhang
IEEE Transactions on Medical Imaging 41 (12), 3884-3894, 2022
DNA 序列信号 3-周期特性
邵建峰, 严晓华, 邵伟, 刘国庆
南京工业大学学报 (自然科学版) 34 (4), 133-137, 2012
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