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张暄轩个人主页

发布时间:2021/11/30

张暄轩

Zhang Xuanxuan

 

副教授,硕士生导师

 

西安邮电大学 通信与信息工程学院  信息工程系

 

生物医学成像、图像重建、图像处理、深度学习

 

zhangxuanxuan@xupt.edu.cn

个人简介

西安邮电大学副教授,硕士生导师。2016年毕业于清华大学生物医学工程专业,获工学博士学位,2016-2018年在西安电子科技大学生命科学技术学院从事博士后研究。

担任IEEE Transactions on Biomedical EngineeringApplied Optics等多个国内外著名期刊审稿人。

主要研究方向为生物医学成像、图像重建、图像重建和深度学习,主持和参与多项国家级科研项目,在国内外主流会议和期刊(IEEE TMI, IEEE TBME, BOE, JOSA, AO, ICNLP, AIPR等)发表论文20余篇。

教育背景

2012.08-2016.06 清华大学 博士

2009.09-2012.03 华中科技大学 硕士

2005.09-2009.07 华中科技大学 本科

工作经历

2019.01-至今 西安邮电大学 通信与信息工程学院

2016.07-2018.12 西安电子科技大学 生命科学技术学院

主要荣誉

2016.06 清华大学优秀博士论文

2016.06 清华大学优秀博士毕业生

研究领域

生物医学成像、图像重建、图像处理、深度学习

学术论文

[1] Xuanxuan Zhang, Xu Cao, Peng Zhang, Fan Song, Jiulou Zhang, Lin Zhang, Guanglei Zhang*. Self-training strategy based on finite element method for adaptive bioluminescence tomography reconstruction. IEEE Transactions on Medical Imaging, Vol 41, pp 2629-2643, 2022 [SCI期刊, Top 期刊, 中科院1区]

[2] Xuanxuan Zhang, Jiapei Cui, Yunfei Jia, Peng Zhang, Fan Song, Xu Cao, Jiulou Zhang, Lin Zhang, Guanglei Zhang*. Image restoration for blurry optical images caused by photon diffusion with deep learning. Journal of the Optical Society of America A, Vol 40, pp 96-107, 2023 [SCI期刊, 中科院3]

[3] Xuanxuan Zhang, Yunfei Jia, Jiapei Cui, Jiulou Zhang, Xu Cao, Lin Zhang; Guanglei Zhang*. Two-stage deep learning method for sparse-view fluorescence molecular tomography reconstruction. Journal of the Optical Society of America A, Vol 40, pp 1359-1371, 2023 [SCI期刊, 中科院3]

[4] Xuanxuan Zhang, Xu Cao, Jiulou Zhang, Lin Zhang, Guanglei Zhang*. Neural-field-based image reconstruction for bioluminescence tomography. Journal of Innovative Optical Health Sciences, Vol 18, pp 2550002, 2025 [SCI期刊, 中科院3]

[5] Xuanxuan Zhang*, Yunfei Jia, Jiapei Cui, Chenhui Ye. ILKA-Net: CT metal artifact reduction network based on large kernel attention, International Conference on Intelligent Systems and Knowledge Engineering, 2023 [EI会议]

[6] Jiapei Cui, Xuanxuan Zhang*, Yunfei Jia, Chenhui Ye. Two-stage deep learning method for sparse-view computed tomography image reconstruction. International Conference on Natural Language Processing, 2024 [EI会议]

[7] Chenhui Ye, Xuanxuan Zhang*, Xingguo Zhao, Jiulou Zhang. MEDE-NET: Multi-Scale extraction and detail enhancement network for image segmentation of throat cancer in computed tomography. International Conference on Artificial Intelligence and Pattern Recognition, 2024 [EI会议]

[8] Peikun Guo, Xuanxuan Zhang*, Xianing Qiang, Ruize Tang. DAMF-Net: Dual attention-based multiscale feature extraction network for accelerated MRI reconstruction. International Conference on Artificial Intelligence and Pattern Recognition, 2025 [EI会议]

[9] Xianing Qiang, Xuanxuan Zhang*, Ruize Tang, Peikun Guo. A CT to CTA image synthesis model with multi-Scale attention and convolution-augmented transformer. International Conference on Artificial Intelligence and Pattern Recognition, 2025 [EI会议]

[10] Ruize Tang, Xuanxuan Zhang*, Peikun Guo, Xianing Qiang. Residual pre-training assisted cold diffusion for denoising low-dose computed tomography images. International Conference on Artificial Intelligence and Pattern Recognition, 2025 [EI会议]

[11] Xuanxuan Zhang, Fei Liu, Simin Zuo, Junwei Shi, Guanglei Zhang, Jing Bai, Jianwen Luo*. Reconstruction of fluorophore concentration variation in dynamic fluorescence molecular tomography. IEEE Transactions on Biomedical Engineering, Vol 62, pp 138-144, 2015 [SCI期刊, 中科院2]

[12] Xuanxuan Zhang, Fei Liu, Simin Zuo, Jiulou Zhang, Jing Bai, Jianwen Luo*. Fast reconstruction of fluorophore concentration variation based on the derivation of the diffusion equation. Journal of the Optical Society of America A, Vol 32, pp 1993-2001, 2015 [SCI期刊, 中科院3]

[13] Xuanxuan Zhang, Jiulou Zhang, Jianwen Luo*. Reconstruction of in vivo fluorophore concentration variation with structural priors and smooth penalty. Applied Optics, Vol 55, pp 2732-2740, 2016 [SCI期刊, 中科院3]

[14] Xuanxuan Zhang, Jiulou Zhang, Jing Bai, and Jianwen Luo*. Shape-based reconstruction of dynamic fluorescent yield with a level set method. Biomedical Engineering Online, Vol 15, pp 6, 2016 [SCI期刊, 中科院3]

[15] Xuanxuan Zhang, Fei Liu, Simin Zuo, Jing Bai, Jianwen Luo*. Image reconstruction for synchronous data acquisition in fluorescence molecular tomography. Journal of X-Ray Science and Technology, Vol 23, pp 463-472, 2015 [SCI期刊, 中科院4]

[16] Xuanxuan Zhang*, Xu Cao, Shouping Zhu. Reconstruction of fluorescence molecular tomography with a cosinoidal level set method. Biomedical Engineering Online, Vol 16, pp 86, 2017 [SCI期刊, 中科院3]

[17] Xuanxuan Zhang, Shouping Zhu, Yang Li, Yonghua Zhan, Xueli Chen, Fei Kang, Jing Wang, Xu Cao. Gamma rays excited radioluminescence tomographic imaging. Biomedical Engineering Online, Vol 17, pp 45, 2018 [SCI期刊, 中科院3]

[18] Yanlu Lv, Xuanxuan Zhang, Dong Zhang, Lin Zhang, Yuan Luo, Jianwen Luo*. Reduction of blurring in broadband volume holographic imaging using a deconvolution method. Biomedical Optics Express, Vol 7, pp 3124-3138, 2016 [SCI期刊, 中科院2]

[19] Xu Cao, Yuzhu Gong, Yang Li, Shouping Zhu, Xuanxuan Zhang, Yonghua Zhan, Fei Kang, Jing Wang, Jimin Liang*. Persistent luminescence tomography for small animal imaging. Biomedical Optics Express, Vol 8, pp 1466-1476, 2017 [SCI期刊, 中科院2]

科研项目

[1] 国家自然科学基金青年项目, 基于扩散光图像恢复与深度学习的动态荧光分子断层成像重建方法,2021-012023-12,总经费30万,主持。

[2] 国家重大科研仪器研制项目, 肌肉萎缩与功能退化的超声调控与评估科研仪器研制2018-012022-12,总经费622万,参与。

[3] 国家重点研发计划, 面向食管癌精准诊疗的高时空分辨率高灵敏度的多尺度多模态融合分子影像技术研发2018-072020-12,总经费699万,参与。

[4] 国家自然科学基金重大研究计划, 胃癌血管新生与乏氧间动态发展过程的在体光学多模态定量监测方法研究,2019-012021-12,总经费70万,参与。

[5] 国家自然科学基金面上项目, 基于有限角度稀疏采样的拉曼-光学投影断层成像技术与方法2019-012022-12,总经费57万,参与。

招生信息

欢迎自信、充满活力、踏实肯干且对科研感兴趣的学生报考。

联系方式 CONTACT

E-mail:zhangxuanxuan@xupt.edu.cn

联系地址:陕西省西安市长安区西长安街618号西安邮电大学,邮编:710121

 

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