| 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 | 241* | 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 | 213 | 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 | 111 | 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 | 102 | 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 | 74 | 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 | 65 | 2019 |
| 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 | 64 | 2020 |
| 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 | 57 | 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 | 53 | 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 | 49 | 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 | 43 | 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 | 40 | 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 | 33 | 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 | 31 | 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 | 27 | 2023 |
| 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 | 26 | 2016 |
| 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 | 25 | 2019 |
| 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 | 24 | 2021 |
| An organelle correlation-guided feature selection approach for classifying multi-label subcellular bio-images W Shao, M Liu, YY Xu, HB Shen, D Zhang IEEE/ACM transactions on computational biology and bioinformatics 15 (3 …, 2017 | 21 | 2017 |
| Hyper-graph based sparse canonical correlation analysis for the diagnosis of Alzheimer’s disease from multi-dimensional genomic data W Shao, S Xiang, Z Zhang, K Huang, J Zhang Methods 189, 86-94, 2021 | 19 | 2021 |
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
