Rongjian Li

发表

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Shuiwang Ji, Wenlu Zhang, Dinggang Shen, 2015, NeuroImage.

Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy

Shuiwang Ji, Jing He, Rongjian Li, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sparse K-Means with $\ell_{\infty}/\ell_0$ Penalty for High-Dimensional Data Clustering

Yu Wang, Xiangyu Chang, Rongjian Li, 2014 .

New modified algorithm of PCA face recognition

Tao Yu, Zhenhui Xu, Rongjian Li, 2012 .

A Hybrid Algorithm Based on Optimal Quadratic Spline Collocation and Parareal Deferred Correction for Parabolic PDEs

Jun Liu, Rongjian Li, Yan Wang, 2016 .

Deep Learning Models for Biomedical Image Analysis

Hao Ji, Wenlu Zhang, Rongjian Li, 2019, Computational Models for Biomedical Reasoning and Problem Solving.

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain

Jieping Ye, Ravi Mukkamala, Shuiwang Ji, 2015, BMC Bioinformatics.

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Jieping Ye, Qian Sun, Shuiwang Ji, 2015, IEEE Transactions on Big Data.

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis

Dinggang Shen, Jiang Li, Heung-Il Suk, 2014, MICCAI.

Evolutionary soft co-clustering: formulations, algorithms, and applications

Andrey N. Chernikov, Daming Feng, Shuiwang Ji, 2015, Data Mining and Knowledge Discovery.

Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction

Shuiwang Ji, Tao Zeng, Hanchuan Peng, 2017, IEEE Transactions on Medical Imaging.

Sparsity Learning Formulations for Mining Time-Varying Data

Yao Zhao, Zhenfeng Zhu, Shuiwang Ji, 2015, IEEE Transactions on Knowledge and Data Engineering.

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns

Shuiwang Ji, Wenlu Zhang, Rongjian Li, 2014, BMC Bioinformatics.

Machine Learning Methods for Medical and Biological Image Computing

Rongjian Li, Rongjian Li, 2016 .

Sparsity Learning Formulations for Mining

Yao Zhao, Zhenfeng Zhu, Shuiwang Ji, 2015 .

Quadratic spline collocation and parareal deferred correction method for parabolic PDEs

Rongjian Li, Yan Wang, Jun Liu, 2016 .

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis

Andrey N. Chernikov, Shuiwang Ji, S. Newfeld, 2013, BMC Bioinformatics.

A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis

Andrey N. Chernikov, Daming Feng, Shuiwang Ji, 2013, BMC Bioinformatics.

A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas

Shuiwang Ji, Wenlu Zhang, Rongjian Li, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.