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Wei Shao 0005
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, School of Computer Science and Technology, China
Other persons with the same name
- Wei Shao — disambiguation page
- Wei Shao 0001 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Wei Shao 0002 — Google Inc., Kirkland, WA, USA (and 1 more)
- Wei Shao 0003 — PLA University of Science and Technology, College of Communications Engineering, Nanjing, China
- Wei Shao 0004
— University of Electronic Science and Technology of China, School of Physical Electronics, Chengdu, China
- Wei Shao 0006
- Wei Shao 0007
- Wei Shao 0008
- Wei Shao 0009
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2020 – today
- 2024
- [j44]Xiaoyu Guan
T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. Bioinform. 40(2) (2024) - [j43]Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. 155: 110696 (2024) - [j42]Wenxuan Ge
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4538-4551 (2024) - [j41]Qi Zhu
Dynamic Confidence-Aware Multi-Modal Emotion Recognition. IEEE Trans. Affect. Comput. 15(3): 1358-1370 (2024) - [j40]Liang Sun
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. 33: 4319-4333 (2024) - [j39]Wei Shao
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging 43(6): 2266-2278 (2024) - [j38]Qi Zhu
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. IEEE Trans. Medical Imaging 43(6): 2381-2394 (2024) - [c20]Wei Shao, Yangyang Shi, Daoqiang Zhang, Junjie Zhou, Peng Wan:
Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images. CVPR 2024: 11694-11703 - [c19]Jie Zhou
Double Collaborative Learning on Functional Brain Networks for Brain Disease Classification. ISBI 2024: 1-5 - [c18]Peng Wan
Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. MICCAI (5) 2024: 188-197 - [c17]Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao:
OSAL-ND: Open-Set Active Learning for Nucleus Detection. MICCAI (4) 2024: 351-361 - [c16]Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao:
Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning. MLMI@MICCAI (2) 2024: 212-221 - [i7]Jie Zhang, Xubing Yang, Rui Jiang, Wei Shao, Li Zhang:
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation. CoRR abs/2402.19004 (2024) - [i6]Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao:
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. CoRR abs/2406.12229 (2024) - 2023
- [j37]Xiaoyu Guan
Active learning for efficient analysis of high-throughput nanopore data. Bioinform. 39(1) (2023) - [j36]Mei-Ling Wang
Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. 20(1): 57-78 (2023) - [j35]Meiling Wang
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. Medical Image Anal. 89: 102883 (2023) - [j34]Liang Sun
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - [j33]Qiming Yang
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. IEEE Trans. Big Data 9(5): 1334-1346 (2023) - [j32]Qi Zhu
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. IEEE Trans. Big Data 9(6): 1575-1585 (2023) - [j31]Peng Wan
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. 70(3): 1012-1023 (2023) - [j30]Qi Zhu
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 887-899 (2023) - [j29]Qi Zhu
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(5): 1472-1483 (2023) - [j28]Wei Shao
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging 42(9): 2552-2565 (2023) - [j27]Wei Shao
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42(10): 3025-3035 (2023) - [c15]Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao:
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI 2023: 145-157 - [c14]Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu:
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. MICCAI (8) 2023: 389-398 - [c13]Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao:
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (6) 2023: 612-621 - 2022
- [j26]Xiaoyu Guan
S2Snet: deep learning for low molecular weight RNA identification with nanopore. Briefings Bioinform. 23(3) (2022) - [j25]Meiling Wang
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. Bioinform. 38(8): 2323-2332 (2022) - [j24]Wei Shao, Xiao Luo
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. BMC Bioinform. 23-S(3): 140 (2022) - [j23]Shuya Zhong
Evaluating the benefits of picking and packing planning integration in e-commerce warehouses. Eur. J. Oper. Res. 301(1): 67-81 (2022) - [j22]Qi Zhu
Multimodal Triplet Attention Network for Brain Disease Diagnosis. IEEE Trans. Medical Imaging 41(12): 3884-3894 (2022) - [c12]Zongxiang Pei, Daoqiang Zhang, Wei Shao:
Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging. BHI 2022: 1-6 - [c11]Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao:
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. CICAI (2) 2022: 577-587 - [c10]Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao:
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) 2022: 222-231 - 2021
- [j21]Yusong Liu
TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery. BMC Bioinform. 22-S(4): 111 (2021) - [j20]Xiao Luo
Applying interpretable deep learning models to identify chronic cough patients using EHR data. Comput. Methods Programs Biomed. 210: 106395 (2021) - [j19]Zhi Huang, Zhi Han, Tongxin Wang, Wei Shao, Shunian Xiang, Paul Salama
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining. Genom. Proteom. Bioinform. 19(6): 1023-1031 (2021) - [j18]Zixiao Lu
BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images. Genom. Proteom. Bioinform. 19(6): 1032-1042 (2021) - [j17]Shuo Huang
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. Int. J. Autom. Comput. 18(2): 170-184 (2021) - [j16]Meiling Wang
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1549-1561 (2021) - [j15]Meiling Wang
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE Trans. Medical Imaging 40(6): 1673-1686 (2021) - [j14]Wei Shao, Tongxin Wang
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images. IEEE Trans. Medical Imaging 40(12): 3739-3747 (2021) - [c9]Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. ISBI 2021: 1790-1793 - [c8]Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang:
Sign-aware Perturbations Regression. SDM 2021: 396-404 - [c7]Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. WACV 2021: 454-463 - 2020
- [j13]Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang:
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Comput. Medical Imaging Graph. 80: 101663 (2020) - [j12]Wei Shao, Tongxin Wang
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65: 101795 (2020) - [j11]Wei Shao
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1394-1405 (2020) - [j10]Liang Sun
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. 29: 2702-2713 (2020) - [j9]Liang Sun
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j8]Wei Shao
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39(1): 99-110 (2020) - [j7]Liang Sun
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39(6): 2000-2012 (2020) - [i5]Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. CoRR abs/2003.02366 (2020) - [i4]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i3]Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang:
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. CoRR abs/2008.03776 (2020) - [i2]Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang:
Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR abs/2008.07719 (2020) - [i1]Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang:
Improving the Certified Robustness of Neural Networks via Consistency Regularization. CoRR abs/2012.13103 (2020)
2010 – 2019
- 2019
- [j6]Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu:
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96: 12-24 (2019) - [j5]Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang:
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. 35(11): 1948-1957 (2019) - [j4]Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019) - [c6]Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang:
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. MICCAI (4) 2019: 113-121 - [c5]Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang:
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. MLMI@MICCAI 2019: 142-150 - 2018
- [j3]Wei Shao
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 828-838 (2018) - [c4]Wei Shao, Liang Sun, Daoqiang Zhang:
Deep active learning for nucleus classification in pathology images. ISBI 2018: 199-202 - [c3]Liang Sun, Daoqiang Zhang, Li Wang
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133 - [c2]Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang:
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) 2018: 648-656 - 2017
- [j2]Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang:
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. Frontiers Comput. Sci. 11(2): 243-252 (2017) - [c1]Liang Sun, Wei Shao, Daoqiang Zhang:
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. ISBI 2017: 507-510 - 2016
- [j1]Wei Shao, Mingxia Liu
Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinform. 32(1): 114-121 (2016)
Coauthor Index
[j44] [j43] [j41] [j40] [j39] [j38] [c20] [c18] [c17] [c16] [i6] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [c15] [c14] [c13] [j26] [j25] [j22] [c12] [c11] [c10] [j17] [j16] [j15] [c9] [c8] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [i4] [i2] [i1] [j6] [j5] [j4] [c6] [c5] [j3] [c4] [c3] [c2] [j2] [c1] [j1]
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last updated on 2024-12-10 20:49 CET by the dblp team
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