| 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 | 809 | 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 | 478 | 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, 2016 | 196 | 2016 |
| 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 | 105 | 2017 |
| 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 | 64 | 2015 |
| 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 | 56 | 2016 |
| Parareal Schwarz Waveform Relaxation Methods MJ Gander, YL Jiang, RJ Li Domain Decomposition Methods in Science and Engineering XX, 451-458, 2013 | 39 | 2013 |
| 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 | 17 | 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 | 16 | 2015 |
| Sparse K-Means with Penalty for High-Dimensional Data Clustering X Chang, Y Wang, R Li, Z Xu arXiv preprint arXiv:1403.7890, 2014 | 16 | 2014 |
| 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 | 15 | 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), 372, 2013 | 14 | 2013 |
| 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 | 13 | 2018 |
| 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 | 12 | 2013 |
| 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 | 6 | 2013 |
| 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 | 5 | 2018 |
| 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 | 1 | 2019 |
| Quadratic spline collocation and parareal deferred correction method for parabolic PDEs J Liu, Y Wang, R Li AIP Conference Proceedings 1738 (1), 100006, 2016 | 1 | 2016 |
| 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 | 1 | 2016 |
| Machine Learning Methods for Medical and Biological Image Computing R Li | 1 | 2016 |
Shuiwang Ji, Professor and Presidenti...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
