Fluorescence and bright-field 3D image fusion based on sinogram unification for optical projection tomography. - Xiaoqin Tang; Merel van't Hoff; Jerry Hoogenboom; Yuanhao Guo; Fuyu Cai; Gerda Lamers; Fons J. Verbeek (BIBM, 2016)

The electronic health record audit file: the patient is waiting. - Annemarie Hirsch; James B. Jones; Virginia R. Lerch; Xiaoqin Tang; Andrea Berger; Deserae Clarke; Walter F. Stewart (J. Am. Medical Informatics Assoc., 2017)

3D Image Deblur using Point Spread Function Modelling for Optical Projection Tomography. - Xiaoqin Tang; Gerda Lamers; Fons J. Verbeek (BIOIMAGING, 2019)

Weakly Supervised Instance Segmentation of SEM Image via Synthetic Data. - Yunfeng Wang; Xiaoqin Tang; Jingchuan Fan; Guoqiang Xiao 001 (BIBM, 2020)

Segmentation-Driven Optimization For Iterative Reconstruction in Optical Projection Tomography: An Exploration. - Xiaoqin Tang; Hermes A. J. Spaink; Rob C. van Wijk; Fons J. Verbeek (IEEE Trans. Computational Imaging, 2020)

Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images. - Linpeng Lv; Futong He; Jiahui Zhang; Liling Mao; Jingchuan Fan; Guoqiang Xiao 001; Xiaoqin Tang (BIBM, 2021)

Cascade Attention Blend Residual Network For Single Image Super-Resolution. - Tianyu Chen; Guoqiang Xiao 001; Xiaoqin Tang; Xianfeng Han; Wenzhuo Ma; Xinye Gou (ICIP, 2021)

Two-Phase Feature Fusion Network For Visible-Infrared Person Re-Identification. - Yunzhou Cheng; Guoqiang Xiao 001; Xiaoqin Tang; Wenzhuo Ma; Xinye Gou (ICIP, 2021)

Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition. - Xuxing Liu; Xiaoqin Tang; Shanxiong Chen (KSEM, 2021)

Improved Evolution Algorithm that Guides the Direction of Individual Mutation for Influence Maximization in Social Networks. - Xiaoqin Tang; Xuxing Liu (KSEM, 2021)

Four potential prognostic markers for breast cancer identified by hybrid gene and module expression analysis. - Lin Xi; Xiangyang Yuan; Jing Liu; Xiaoqin Tang (BIBM, 2022)

Cauchy regularized broad learning system for noisy data regression. - Licheng Liu; Luyang Cai; Tingyun Liu; C. L. Philip Chen; Xiaoqin Tang (Inf. Sci., 2022)

Superpixel-guided locality quaternion representation for color face hallucination. - Licheng Liu; Xiaoqin Tang; C. L. Philip Chen; Luyang Cai; Rushi Lan (Inf. Sci., 2022)

Synthesize More Diverse and Realistic Nanoparticle Image-mask Pairs on Limited Data. - Wenlong Li; Chaohui Liu; Jingchuan Fan; Guoqiang Xiao 001; Xiaoqin Tang (BIBM, 2023)

Enhancing Precision and Interpretability of CT Image Reconstruction via Self-supervised Adaptive Domain Transformation. - Xiaoqin Tang; Baiyin Huang; Guoqiang Xiao 001 (BIBM, 2023)

Med-DualNet: Enhancing Medical Image Segmentation with Hard-Patch Mining and Joint Error Adjustment. - Xinyi Zhao; Xiaogang Wang 005; Xiaoqin Tang (BIBM, 2023)

Enhancing Interpretability in CT Reconstruction Using Tomographic Domain Transform with Self-supervision. - Baiyin Huang; Boheng Tan; Xiaoqin Tang; Guoqiang Xiao 001 (PRICAI (3), 2023)

Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping. - Xiaoqin Tang; Lingpeng Lv; Shima Javanmardi; Yunfeng Wang; Jingchuan Fan; Fons J. Verbeek; Guoqiang Xiao 001 (IEEE Trans. Medical Imaging, 2023)

LayoutDualGAN: Advancing Automated Drug Nanoparticle Phenotyping via Enhanced Pairwise Image-Mask Synthesis. - Chaohui Liu; Wenglong Li; Jingchuan Fan; Guoqiang Xiao 001; Xiaoqin Tang (BIBM, 2024)

Tomo-NeRL: tomographic neural representation learning for implicit CT image reconstruction. - Xiaoqin Tang; Boheng Tan; Yuanhao Guo; Xianping Yu; Jake Kendrick; Mark Reynolds 001 (BIBM, 2024)

TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification. - Qijun Li; Xiaoqin Tang; Jinsong Li; Xianping Yu; Guoqiang Xiao 001 (PRICAI (4), 2024)

Advancing Paired Image-Mask Synthesis for Automated Nanoparticle Phenotyping. - Xiaoqin Tang; Chaohui Liu; Guoqiang Xiao 001 (ICASSP, 2025)