Weikang Gong

According to our database, Weikang Gong authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation.

Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Ke Gu, Jinjian Wu

IEEE Trans. Multim., 2024

2023

emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model.

Shuang Yang, Weikang Gong, Tong Zhou, Xiaohan Sun, Lei Chen, Wenxue Zhou, Chunhua Li

Briefings Bioinform., July, 2023

Supervised Phenotype Discovery From Multimodal Brain Imaging.

Weikang Gong, Song Bai, Ying-Qiu Zheng, Stephen M. Smith, Christian F. Beckmann

IEEE Trans. Medical Imaging, March, 2023

Identification of metal ion-binding sites in RNA structures using deep learning method.

Yanpeng Zhao, Jingjing Wang, Fubin Chang, Weikang Gong, Yang Liu, Chunhua Li

Briefings Bioinform., March, 2023

Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images.

Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Jinjian Wu, Xinbo Gao

IEEE Trans. Multim., 2023

2022

Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner.

Ying-Qiu Zheng, Seyedeh-Rezvan Farahibozorg, Weikang Gong, Hossein Rafipoor, Saâd Jbabdi, Stephen M. Smith

NeuroImage, 2022

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies.

Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Shitong Xiang, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Gunter Schumann, Fengzhu Sun, Jianfeng Feng

NeuroImage, 2022

Key Residues in δ Opioid Receptor Allostery Explored by the Elastic Network Model and the Complex Network Model Combined with the Perturbation Method.

Lei Chen, Weikang Gong, Zhongjie Han, Wenxue Zhou, Shuang Yang, Chunhua Li

J. Chem. Inf. Model., 2022

An ensemble approach to predict binding hotspots in protein-RNA interactions based on SMOTE data balancing and Random Grouping feature selection strategies.

Tong Zhou, Jie Rong, Yang Liu, Weikang Gong, Chunhua Li

Bioinform., 2022

Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.

Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia

Briefings Bioinform., 2022

2021

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.

Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng

NeuroImage, 2021

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data.

Seyedeh-Rezvan Farahibozorg, Janine D. Bijsterbosch, Weikang Gong, Saâd Jbabdi, Stephen M. Smith, Samuel J. Harrison, Mark W. Woolrich

NeuroImage, 2021

Accurate brain age prediction with lightweight deep neural networks.

Han Peng, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith

Medical Image Anal., 2021

Phenotype discovery from population brain imaging.

Weikang Gong, Christian F. Beckmann, Stephen M. Smith

Medical Image Anal., 2021

Equally Weighted Multiscale Elastic Network Model and Its Comparison with Traditional and Parameter-Free Models.

Weikang Gong, Yang Liu, Yanpeng Zhao, Shihao Wang, Zhongjie Han, Chunhua Li

J. Chem. Inf. Model., 2021

EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction.

Jingjing Wang, Yanpeng Zhao, Weikang Gong, Yang Liu, Mei Wang, Xiaoqian Huang, Jianjun Tan

BMC Bioinform., 2021

aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.

Yang Liu, Weikang Gong, Yanpeng Zhao, Xueqing Deng, Shan Zhang, Chunhua Li

Bioinform., 2021

2020

Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification.

Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li

BMC Bioinform., 2020

2019

A powerful and efficient multivariate approach for voxel-level connectome-wide association studies.

Weikang Gong, Fan Cheng, Edmund T. Rolls, Chun-Yi Zac Lo, Chu-Chung Huang, Shih-Jen Tsai, Albert C. Yang, Ching-Po Lin, Jianfeng Feng

NeuroImage, 2019

DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy.

Shuping Cheng, Lu Zhang, Jianjun Tan, Weikang Gong, Chunhua Li, Xiaoyi Zhang

Comput. Biol. Chem., 2019

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.

Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng

Bioinform., 2019

Transfer Learning Models on Brain Age Prediction.

Yanhao Ren, Qiang Luo, Weikang Gong, Wenlian Lu

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

2018

Structured sparse <i>K</i>-means clustering via Laplacian smoothing.

Weikang Gong, Renbo Zhao, Stefan Grünewald

Pattern Recognit. Lett., 2018

Statistical testing and power analysis for brain-wide association study.

Weikang Gong, Lin Wan, Wenlian Lu, Liang Ma, Fan Cheng, Wei Cheng, Stefan Grünewald, Jianfeng Feng

Medical Image Anal., 2018