Zongqing Ma

An Iterative Multi-path Fully Convolutional Neural Network for Automatic Cardiac Segmentation in Cine MR Images.

Yan Wang, Xin Wang, Kunlin Cao, 2019, Medical physics.

Noise reduction in low-dose CT with stacked sparse denoising autoencoders

Yan Wang, Feng Lin, Yifei Pu, 2016, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).

Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning

Heye Zhang, Jiliu Zhou, Xi Wu, 2019, Physics in medicine and biology.

A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning

Zhipeng Yang, Jiliu Zhou, Shuo Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A Multi-Scale Network with the Encoder-Decoder Structure for CMR Segmentation

Jing Peng, Chaoyang Xia, Zongqing Ma, 2019, Journal of Information Hiding and Privacy Protection.

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications

Yong Luo, Yan Wang, Kun He, 2017, Neural Processing Letters.

Automatic nasopharyngeal carcinoma segmentation in MR images with convolutional neural networks

Jiliu Zhou, Xi Wu, Zongqing Ma, 2017, 2017 International Conference on the Frontiers and Advances in Data Science (FADS).

Patch-wise label propagation for MR brain segmentation based on multi-atlas images

Yong Luo, Yan Wang, Kun He, 2017, Multimedia Systems.

Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut

Jiliu Zhou, Xi Wu, Qi Song, 2018, Experimental and therapeutic medicine.

From convolutional to recurrent: Case study in Nasopharyngeal Carcinoma segmentation

Zhenghao Chen, Xi Wu, Ao Feng, 2017, 2017 International Conference on the Frontiers and Advances in Data Science (FADS).

Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method

Jiliu Zhou, Xi Wu, Ying Fu, 2016, MLMI@MICCAI.

LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis

Yan Wang, Luping Zhou, Jiliu Zhou, 2021, Biomed. Signal Process. Control..