Zongqing Ma

发表

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.

HCTNet: A Hybrid ConvNet-Transformer Network for Retinal Optical Coherence Tomography Image Classification

Zongqing Ma, Jiang Zhu, Fan Fan, 2022, Biosensors.

Rapid estimations of intensity standard deviations for optical coherence tomography angiography

Zongqing Ma, Jiang Zhu, L. Zhu, 2021, Journal of biophotonics.

Blood coagulation monitoring under static and flow conditions with optical coherence tomography autocorrelation analysis

Zongqing Ma, Jiang Zhu, L. Zhu, 2022, Applied Physics Letters.

DSGAN: a generative model for speckle noise reduction in retinal optical coherence tomography images

Zongqing Ma, Jiang Zhu, Fan Fan, 2022, SPIE/COS Photonics Asia.

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).

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).

Acoustic radiation force optical coherence elastography based on acousto-optic coupling for elasticity measurements

Zongqing Ma, Jiang Zhu, Chongyang Wang, 2022, SPIE/COS Photonics Asia.

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).

Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method

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

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).

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.

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

Jiliu Zhou, Yan Wang, Xi Wu, 2019, Multimedia Systems.

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications

Jiliu Zhou, Yan Wang, Xi Wu, 2018, Neural Processing Letters.

Multi-task generative adversarial network for retinal optical coherence tomography image denoising

Zongqing Ma, L. Zhu, Fan Fan, 2022, Physics in medicine and biology.