Rongjian Li
Rongjian Li
Bank of America
Verified email at odu.edu
Title
Cited by
Cited by
Year
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
5582015
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
2922014
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, 2016
1172016
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction
R Li, T Zeng, H Peng, S Ji
IEEE transactions on medical imaging 36 (7), 1533-1541, 2017
562017
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain
T Zeng, R Li, R Mukkamala, J Ye, S Ji
BMC bioinformatics 16 (1), 147, 2015
482015
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy
R Li, D Si, T Zeng, S Ji, J He
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
352016
Parareal Schwarz Waveform Relaxation Methods
MJ Gander, YL Jiang, RJ Li
Domain Decomposition Methods in Science and Engineering XX, 451-458, 2013
272013
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
142015
Sparse K-Means with Penalty for High-Dimensional Data Clustering
X Chang, Y Wang, R Li, Z Xu
arXiv preprint arXiv:1403.7890, 2014
142014
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), 372, 2013
122013
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
112014
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), 209, 2014
112014
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
102013
SPARSE k-MEANS WITH ℓ/ℓ0 PENALTY FOR HIGH-DIMENSIONAL DATA CLUSTERING
X Chang, Y Wang, R Li, Z Xu
Statistica Sinica 28 (3), 1265-1284, 2018
72018
Sparse K-Means with the l_q (0leq q< 1) Constraint for High-Dimensional Data Clustering
Y Wang, X Chang, R Li, Z Xu
2013 IEEE 13th International Conference on Data Mining, 797-806, 2013
52013
Exploratory Studies Detecting Secondary Structures in Medium Resolution 3D Cryo-EM Images Using Deep Convolutional Neural Networks
D Haslam, T Zeng, R Li, J He
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
32018
Quadratic spline collocation and parareal deferred correction method for parabolic PDEs
J Liu, Y Wang, R Li
AIP Conference Proceedings 1738 (1), 100006, 2016
12016
A Hybrid Algorithm Based on Optimal Quadratic Spline Collocation and Parareal Deferred Correction for Parabolic PDEs
J Liu, Y Wang, R Li
Mathematical Problems in Engineering 2016, 2016
12016
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
2019
Machine Learning Methods for Medical and Biological Image Computing
R Li
2016
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