Rongjian Li
Rongjian Li
Bank of America
Email verificata su odu.edu
Titolo
Citata da
Citata da
Anno
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
6212015
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
3362014
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
1332016
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
652017
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
522015
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
392016
Parareal Schwarz Waveform Relaxation Methods
MJ Gander, YL Jiang, RJ Li
Domain Decomposition Methods in Science and Engineering XX, 451-458, 2013
312013
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
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
132015
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
132014
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
132014
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
132013
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
112013
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
82018
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
42018
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
12019
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
Machine Learning Methods for Medical and Biological Image Computing
R Li
2016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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