Wenlu Zhang
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Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
International Conference on Medical Image Computing and Computer-Assisted …, 2014
Deep model based transfer and multi-task learning for biological image analysis
W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji
IEEE transactions on Big Data 6 (2), 322-333, 2016
Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion
BA Duffy, W Zhang, H Tang, L Zhao, M Law, AW Toga, H Kim
The rise of artificial intelligence under the lens of sustainability
J Khakurel, B Penzenstadler, J Porras, A Knutas, W Zhang
Technologies 6 (4), 100, 2018
A sparsity-inducing formulation for evolutionary co-clustering
S Ji, W Zhang, J Liu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Sparsity learning formulations for mining time-varying data
R Li, W Zhang, Y Zhao, Z Zhu, S Ji
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1411-1423, 2014
Evolutionary soft co-clustering: formulations, algorithms, and applications
W Zhang, R Li, D Feng, A Chernikov, N Chrisochoides, C Osgood, S Ji
Data Mining and Knowledge Discovery 29 (3), 765-791, 2015
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
R Li, W Zhang, S Ji
BMC bioinformatics 15 (1), 1-12, 2014
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis
W Zhang, D Feng, R Li, A Chernikov, N Chrisochoides, C Osgood, ...
BMC bioinformatics 14 (1), 1-10, 2013
A probabilistic latent semantic analysis model for coclustering the mouse brain atlas
S Ji, W Zhang, R Li
IEEE/ACM transactions on computational biology and bioinformatics 10 (6 …, 2013
Evolutionary Soft Co-Clustering
W Zhang, S Ji, R Zhang
Classification of shark behaviors using K-nearest neighbors
S Karan, EN Meese, Y Yang, HG Yeh, CG Lowe, W Zhang
2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019
Feature Extraction, Selection and K-Nearest Neighbors Algorithm for Shark Behavior Classification Based on Imbalanced Dataset
Y Yang, HG Yeh, W Zhang, CJ Lee, EN Meese, CG Lowe
IEEE Sensors Journal, 2020
Towards Adaptive Ontology Visualization—Predicting User Success from Behavioral Data
B Fu, B Steichen, W Zhang
International Journal of Semantic Computing 13 (04), 431-452, 2019
Deep Learning Models for Biomedical Image Analysis
B Ji, W Zhang, R Li, H Ji
Computational Models for Biomedical Reasoning and Problem Solving, 128-148, 2019
An observational study of engineering online education during the COVID-19 pandemic
S Asgari, J Trajkovic, M Rahmani, W Zhang, RC Lo, A Sciortino
Plos one 16 (4), e0250041, 2021
Deep Encoder–Decoder Neural Networks for Retinal Blood Vessels Dense Prediction
W Zhang, L Li, V Cheong, B Fu, M Aliasgari
International Journal of Computational Intelligence Systems 14 (1), 1078-1086, 2021
Improvement of Classification of Shark Behaviors using K-Nearest Neighbors
IM Ali, CJ Lee, HG Yeh, S Karan, Y Yang, W Zhang, EN Meese, CG Lowe
2020 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-7, 2020
Deep Convolutional Neural Networks for Road Extraction
A Campos, F Aboshehwa, L Li, W Zhang
2020 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-5, 2020
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Artikelen 1–20