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2020 – today
- 2025
[j26]Hualuo Shi, Xiaoliang Jiang, Chun Zhou, Qile Zhang, Ban Wang:
DAAM-Net: A dual-encoder U-Net network with adjacent auxiliary module for pituitary tumor and jaw cyst segmentation. Biomed. Signal Process. Control. 99: 106908 (2025)- 2024
- [j25]Huixia Zheng, Xiaoliang Jiang
, Xu Xu, Xiaokang Ding:
MFI-Net: Multi-Level Feature Integration Network With SE-Res2Conv Encoder for Jaw Cyst Segmentation. IEEE Access 12: 67355-67367 (2024) - [j24]Qile Zhang, Xiaoliang Jiang, Xiuqing Huang, Chun Zhou:
MSR-Net: Multi-Scale Residual Network Based on Attention Mechanism for Pituitary Adenoma MRI Image Segmentation. IEEE Access 12: 119371-119382 (2024) - [j23]Xinliang Cheng, Jinyun Jiang, WanXin Fu, Shiyi Ying, Xiaoliang Jiang:
Design of a new type of logistics handling robot based on STM32. Int. J. Inf. Commun. Technol. 24(3): 245-261 (2024) - [j22]Ban Wang, Changlu Dai, Jun Li, Xiaoliang Jiang, Juyong Zhang, Guanshuai Jia:
PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation. Signal Image Video Process. 18(S1): S757-S769 (2024) - [j21]Jun Wang, Fei Zeng, Sanku Niu, Jun Zheng, Xiaoliang Jiang:
SAR Image Change Detection via Heterogeneous Graph With Multiorder and Multilevel Connections. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11386-11401 (2024) - 2023
- [j20]Xiaoliang Jiang, Jinyun Jiang, Jianping Yu, Jun Wang, Ban Wang:
MSK-UNET: A Modified U-Net Architecture Based on Selective Kernel with Multi-Scale Input for Pavement Crack Detection. J. Circuits Syst. Comput. 32(1): 2350006:1-2350006:21 (2023) - [j19]Xiaojing Sheng, Kun Lan, Xiaoliang Jiang, Jie Yang:
Adaptive Curriculum Sequencing and Education Management System via Group-Theoretic Particle Swarm Optimization. Syst. 11(1): 34 (2023) - 2022
- [j18]Xiaoliang Jiang, Jinyun Jiang, Ban Wang, Jianping Yu, Jun Wang:
SEACU-Net: Attentive ConvLSTM U-Net with squeeze-and-excitation layer for skin lesion segmentation. Comput. Methods Programs Biomed. 225: 107076 (2022) - [j17]Qile Zhang, Xiaoliang Jiang:
Image segmentation using active contour model driven by RSF and difference of Gaussian energy. Int. J. Inf. Commun. Technol. 20(3): 270-278 (2022) - [j16]Jun Wang, Tianchen Zhao, Xiaoliang Jiang:
Unsupervised Multi-Look SAR Image Change Detection Driven by Dual-Layer Graph With Intensity and Texture Attributes. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j15]Jun Wang, Tianchen Zhao, Xiaoliang Jiang, Kun Lan:
A Hierarchical Heterogeneous Graph for Unsupervised SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j14]Yingyu Ji, Xiaoliang Jiang:
Active contour model for image segmentation based on salient fitting energy. Int. J. Inf. Commun. Technol. 19(2): 219-230 (2021) - [j13]Xiaoliang Jiang, Qile Zhang:
Extraction of Cerebral Hemorrhage on CT Images Using Level Set Algorithm and Otsu Threshold. J. Medical Imaging Health Informatics 11(7): 2033-2039 (2021) - 2020
- [j12]Xiaojun Yang, Xiaoliang Jiang, Lingfei Zhou, Yong Wang, Yuliang Zhang:
Active Contours Driven by Local and Global Region-Based Information for Image Segmentation. IEEE Access 8: 6460-6470 (2020) - [j11]Xiaoliang Jiang, Jinyun Jiang:
A Shape Prior-Based Active Contour Model for Automatic Images Segmentation. IEEE Access 8: 200541-200550 (2020) - [j10]Jinyun Jiang, Xiaoliang Jiang:
An Improved Matrix Factorization Based Active Contours Combining Edge Preservation for Image Segmentation. IEEE Access 8: 223472-223481 (2020) - [j9]Xiaojun Yang, Xiaoliang Jiang:
A Hybrid Active Contour Model based on New Edge-Stop Functions for Image Segmentation. Int. J. Ambient Comput. Intell. 11(1): 87-98 (2020) - [j8]Sheng Wang, Xiaoliang Jiang:
A new correntropy-based level set algorithm using local robust statistics information. Int. J. High Perform. Syst. Archit. 9(2/3): 59-69 (2020) - [c1]Xiaoliang Jiang, Vetle I. Torvik:
On the Ambiguity and Relevance of Place Names in Scientific Text. JCDL 2020: 401-404
2010 – 2019
- 2019
- [j7]Xiaoliang Jiang, Xiaojun Yang, Zhengen Ying, Liwen Zhang, Jie Pan, Shaojie Chen:
Segmentation of shallow scratches image using an improved multi-scale line detection approach. Multim. Tools Appl. 78(1): 1053-1066 (2019) - 2018
- [j6]Xiaoliang Jiang, Kai-Ping Feng, Huan Lin, Jian Tang, Zhaozhong Zhou, Jun Li:
Active Contours Driven by Local Gaussian Distribution Fitting and Local Robust Statistics. J. Inf. Hiding Multim. Signal Process. 9(1): 89-98 (2018) - [j5]Xiaoliang Jiang, Zhaozhong Zhou, Huiling Geng, Qi-Le Zhang, Zhong-Kui Dai, Yuan-Xiang Zhang:
An Efficient Region-based Active Contour Method via Local Information for Image Segmentation. J. Inf. Hiding Multim. Signal Process. 9(3): 641-650 (2018) - 2017
- [j4]Xiaoliang Jiang, Zhaozhong Zhou, Xiaokang Ding, Xiaolei Deng, Ling Zou, Bailin Li:
Level Set Based Hippocampus Segmentation in MR Images with Improved Initialization Using Region Growing. Comput. Math. Methods Medicine 2017: 5256346:1-5256346:11 (2017) - [j3]Jian Tang, Xiaoliang Jiang:
A Variational Level Set Approach Based on Local Entropy for Image Segmentation and Bias Field Correction. Comput. Math. Methods Medicine 2017: 9174275:1-9174275:15 (2017) - 2016
- [j2]Xiaoliang Jiang, Qiang Wang, Biao He, Shao-Jie Chen, Bai-Lin Li:
Robust level set image segmentation algorithm using local correntropy-based fuzzy c-means clustering with spatial constraints. Neurocomputing 207: 22-35 (2016) - [j1]Xiaoliang Jiang, Bailin Li, Jian Ying Yuan, Xiaoliang Wu:
Active Contour Driven by Local Gaussian Distribution Fitting and Local Signed Difference Based on Local Entropy. Int. J. Pattern Recognit. Artif. Intell. 30(3): 1655011:1-1655011:19 (2016)
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