Dexing Kong

According to our database, Dexing Kong authored at least 42 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MTANet: Multi-Task Attention Network for Automatic Medical Image Segmentation and Classification.

Yating Ling, Yuling Wang, Wenli Dai, Jie Yu, Ping Liang, Dexing Kong

IEEE Trans. Medical Imaging, February, 2024

Densely connected convolutional networks for ultrasound image based lesion segmentation.

Jinlian Ma, Dexing Kong, Fa Wu, Lingyun Bao, Jing Yuan, Yusheng Liu

Comput. Biol. Medicine, January, 2024

An edge detection-based deep learning approach for tear meniscus height measurement.

Kesheng Wang, Kunhui Xu, Xiaoyu Chen, Chunlei He, Jianfeng Zhang, Dexing Kong, Qi Dai, Shoujun Huang

CoRR, 2024

2023

Application of advanced diffusion models from diffusion weighted imaging in a large cohort study of breast lesions.

Ying Ji, Junqi Xu, Zilin Wang, Xinyu Guo, Dexing Kong, He Wang, Kangan Li

BMC Medical Imaging, December, 2023

Classification regularized dimensionality reduction improves ultrasound thyroid nodule diagnostic accuracy and inter-observer consistency.

Wenli Dai, Yan Cui, Peiyi Wang, Hao Wu, Lei Zhang, Yeping Bian, Yingying Li, Yutao Li, Hairong Hu, Jiaqi Zhao, Dong Xu, Dexing Kong, Yajuan Wang, Lei Xu

Comput. Biol. Medicine, March, 2023

Automatic nodule identification and differentiation in ultrasound videos to facilitate per-nodule examination.

Siyuan Jiang, Yan Ding, Yuling Wang, Lei Xu, Wenli Dai, Wanru Chang, Jianfeng Zhang, Jie Yu, Jianqiao Zhou, Chunquan Zhang, Ping Liang, Dexing Kong

CoRR, 2023

2022

Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey.

Jianfeng Zhang, Fa Wu, Wanru Chang, Dexing Kong

Entropy, 2022

Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images.

Jinlian Ma, Lingyun Bao, Qiong Lou, Dexing Kong

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks.

Yuanpeng Liu, Qinglei Hui, Zhiyi Peng, Shaolin Gong, Dexing Kong

CoRR, 2021

Iterative Reweighted Local Cross Correlation Method for Nonlinear Registration of Multiphase Liver CT Images.

Chongfei Huang, Chenhui Qiu, Zhiyi Peng, Jing Yuan, Dexing Kong

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Pixel-RRT*: A Novel Skeleton Trajectory Search Algorithm for Hepatic Vessels.

Jianfeng Zhang, Wanru Chang, Fa Wu, Dexing Kong

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019

Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint.

Xinling Zhang, Xu Li, Ying Chen, Yixin Gan, Dexing Kong, Rongqin Zheng

CoRR, 2019

Advances in Modelling, Monitoring, and Control for Complex Industrial Systems.

Zhiwei Gao, Sing Kiong Nguang, Dexing Kong

Complex., 2019

Fixed-Point Deformable U-Net for Pancreas CT Segmentation.

Meixiang Huang, Chongfei Huang, Jing Yuan, Dexing Kong

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

2018

Semiautomatic Radiofrequency Ablation Planning Based on Constrained Clustering Process for Hepatic Tumors.

Rendong Chen, Tian'an Jiang, Fang Lu, Kaifeng Wang, Dexing Kong

IEEE Trans. Biomed. Eng., 2018

Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding.

Qianting Ma, Jialin Peng, Dexing Kong

Neural Process. Lett., 2018

A new variational model for joint restoration and segmentation based on the Mumford-Shah model.

Qianting Ma, Dexing Kong

J. Vis. Commun. Image Represent., 2018

Automatic Segmentation of 3D Lung Airway without Leakage.

Zengsi Chen, Kuntao Xiao, Jiantao Yang, Dan Long, Dexing Kong

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2017

Liver Venous Tree Separation via Twin-Line RANSAC and Murray's Law.

Zixu Yan, Feng Chen, Dexing Kong

IEEE Trans. Medical Imaging, 2017

A fractional differential fidelity-based PDE model for image denoising.

Qianting Ma, Fang-Fang Dong, Dexing Kong

Mach. Vis. Appl., 2017

The effect of short cardio on inhibitory control ability of obese people.

Donghui Tang, Shuang Tao, Jinlian Ma, Peijun Hu, Dan Long, Jun Wang, Dexing Kong

Int. J. Imaging Syst. Technol., 2017

Inferior vena cava segmentation with parameter propagation and graph cut.

Zixu Yan, Feng Chen, Fa Wu, Dexing Kong

Int. J. Comput. Assist. Radiol. Surg., 2017

Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.

Jinlian Ma, Fa Wu, Tian'an Jiang, Qiyu Zhao, Dexing Kong

Int. J. Comput. Assist. Radiol. Surg., 2017

Automatic 3D liver location and segmentation via convolutional neural network and graph cut.

Fang Lu, Fa Wu, Peijun Hu, Zhiyi Peng, Dexing Kong

Int. J. Comput. Assist. Radiol. Surg., 2017

Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, Dexing Kong

Int. J. Comput. Assist. Radiol. Surg., 2017

Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.

Peijun Hu, Yuankai Huo, Dexing Kong, John Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, Bennett A. Landman

Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

2016

Automatic 3D liver location and segmentation via convolutional neural networks and graph cut.

Fang Lu, Fa Wu, Peijun Hu, Zhiyi Peng, Dexing Kong

CoRR, 2016

2015

A structural low rank regularization method for single image super-resolution.

Jialin Peng, Benny Y. C. Hon, Dexing Kong

Mach. Vis. Appl., 2015

Modeling and Control of Complex Dynamic Systems 2014.

David Zhiwei Gao, Dexing Kong, Michael Z. Q. Chen

J. Appl. Math., 2015

Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification.

Fa Wu, Peijun Hu, Dexing Kong

CoRR, 2015

Salt and pepper noise removal based on an approximation of l₀ norm.

Fang-Fang Dong, Yun-Wei Chen, Dexing Kong, Bailin Yang

Comput. Math. Appl., 2015

2014

Liver segmentation with constrained convex variational model.

Jialin Peng, Ye Wang, Dexing Kong

Pattern Recognit. Lett., 2014

A nonlocal energy minimization approach to brain image segmentation with simultaneous bias field estimation and denoising.

Zengsi Chen, Jinwei Wang, Dexing Kong, Fang-Fang Dong

Mach. Vis. Appl., 2014

2013

A New Type of Distributed Parameter Control Systems: Two-Point Boundary Value Problems for Infinite-Dimensional Dynamical Systems.

Dexing Kong, Fa Wu

J. Appl. Math., 2013

Modeling and Control of Complex Dynamic Systems 2013.

Zhiwei Gao, Dexing Kong, Chuanhou Gao, Michael Z. Q. Chen

J. Appl. Math., 2013

Variational Model for Image Segmentation.

Qiong Lou, Jialin Peng, Fa Wu, Dexing Kong

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

2012

Nonlocal total variation models for multiplicative noise removal using split Bregman iteration.

Fang-Fang Dong, Haili Zhang, Dexing Kong

Math. Comput. Model., 2012

Modeling and Control of Complex Dynamic Systems: Applied Mathematical Aspects.

David Zhiwei Gao, Dexing Kong, Chuanhou Gao

J. Appl. Math., 2012

A fast algorithm for image segmentation based on fuzzy region competition.

Fang-Fang Dong, Chunxiao Liu, Dexing Kong

Adv. Comput. Math., 2012

A new convex variational model for liver segmentation.

Jialin Peng, Jinwei Wang, Dexing Kong

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

New Variational Formulations for Level Set Evolution Without Reinitialization with Applications to Image Segmentation.

Chunxiao Liu, Fang-Fang Dong, Shengfeng Zhu, Dexing Kong, Kefeng Liu

J. Math. Imaging Vis., 2011

2009

An Improved LOT Model for Image Restoration.

Fang-Fang Dong, Zhen Liu, Dexing Kong, Kefeng Liu

J. Math. Imaging Vis., 2009