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Xiaoqin Tang
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2020 – today
- 2024
- [c14]Qijun Li
, Xiaoqin Tang, Jinsong Li, Xianping Yu, Guoqiang Xiao:
TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification. PRICAI (4) 2024: 139-151 - 2023
- [j5]Xiaoqin Tang
Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping. IEEE Trans. Medical Imaging 42(12): 3665-3677 (2023) - [c13]Wenlong Li, Chaohui Liu, Jingchuan Fan, Guoqiang Xiao, Xiaoqin Tang:
Synthesize More Diverse and Realistic Nanoparticle Image-mask Pairs on Limited Data. BIBM 2023: 1286-1293 - [c12]Xiaoqin Tang, Baiyin Huang, Guoqiang Xiao:
Enhancing Precision and Interpretability of CT Image Reconstruction via Self-supervised Adaptive Domain Transformation. BIBM 2023: 1451-1458 - [c11]Xinyi Zhao, Xiaogang Wang, Xiaoqin Tang:
Med-DualNet: Enhancing Medical Image Segmentation with Hard-Patch Mining and Joint Error Adjustment. BIBM 2023: 3610-3617 - [c10]Baiyin Huang
Enhancing Interpretability in CT Reconstruction Using Tomographic Domain Transform with Self-supervision. PRICAI (3) 2023: 93-104 - 2022
- [j4]Licheng Liu, Luyang Cai, Tingyun Liu, C. L. Philip Chen, Xiaoqin Tang:
Cauchy regularized broad learning system for noisy data regression. Inf. Sci. 603: 210-221 (2022) - [j3]Licheng Liu, Xiaoqin Tang, C. L. Philip Chen, Luyang Cai, Rushi Lan:
Superpixel-guided locality quaternion representation for color face hallucination. Inf. Sci. 609: 565-577 (2022) - [c9]Lin Xi, Xiangyang Yuan, Jing Liu, Xiaoqin Tang:
Four potential prognostic markers for breast cancer identified by hybrid gene and module expression analysis. BIBM 2022: 1-8 - 2021
- [c8]Linpeng Lv, Futong He, Jiahui Zhang, Liling Mao, Jingchuan Fan, Guoqiang Xiao, Xiaoqin Tang:
Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images. BIBM 2021: 1757-1764 - [c7]Tianyu Chen, Guoqiang Xiao, Xiaoqin Tang, Xianfeng Han, Wenzhuo Ma, Xinye Gou:
Cascade Attention Blend Residual Network For Single Image Super-Resolution. ICIP 2021: 559-563 - [c6]Yunzhou Cheng, Guoqiang Xiao, Xiaoqin Tang, Wenzhuo Ma, Xinye Gou:
Two-Phase Feature Fusion Network For Visible-Infrared Person Re-Identification. ICIP 2021: 1149-1153 - [c5]Xiaoqin Tang, Xuxing Liu:
Improved Evolution Algorithm that Guides the Direction of Individual Mutation for Influence Maximization in Social Networks. KSEM 2021: 532-545 - [c4]Xuxing Liu, Xiaoqin Tang, Shanxiong Chen:
Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition. KSEM 2021: 614-626 - 2020
- [j2]Xiaoqin Tang
Segmentation-Driven Optimization For Iterative Reconstruction in Optical Projection Tomography: An Exploration. IEEE Trans. Computational Imaging 6: 1537-1547 (2020) - [c3]Yunfeng Wang, Xiaoqin Tang, Jingchuan Fan, Guoqiang Xiao:
Weakly Supervised Instance Segmentation of SEM Image via Synthetic Data. BIBM 2020: 2672-2679
2010 – 2019
- 2019
- [c2]Xiaoqin Tang, Gerda Lamers, Fons J. Verbeek:
3D Image Deblur using Point Spread Function Modelling for Optical Projection Tomography. BIOIMAGING 2019: 67-75 - 2017
- [j1]Annemarie Hirsch, James B. Jones, Virginia R. Lerch, Xiaoqin Tang, Andrea Berger, Deserae Clarke, Walter F. Stewart:
The electronic health record audit file: the patient is waiting. J. Am. Medical Informatics Assoc. 24(e1): e28-e34 (2017) - 2016
- [c1]Xiaoqin Tang, Merel van't Hoff, Jerry Hoogenboom, Yuanhao Guo, Fuyu Cai, Gerda Lamers, Fons J. Verbeek:
Fluorescence and bright-field 3D image fusion based on sinogram unification for optical projection tomography. BIBM 2016: 403-410
Coauthor Index
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