Search Results - "Lu, Yanye"

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  1. 1

    Retinal image synthesis from multiple-landmarks input with generative adversarial networks by Yu, Zekuan, Xiang, Qing, Meng, Jiahao, Kou, Caixia, Ren, Qiushi, Lu, Yanye

    Published in Biomedical engineering online (21-05-2019)
    “…Medical datasets, especially medical images, are often imbalanced due to the different incidences of various diseases. To address this problem, many methods…”
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    Journal Article
  2. 2

    Progress in the development of CdZnTe unipolar detectors for different anode geometries and data corrections by Zhang, Qiushi, Zhang, Congzhe, Lu, Yanye, Yang, Kun, Ren, Qiushi

    Published in Sensors (Basel, Switzerland) (18-02-2013)
    “…CdZnTe detectors have been under development for the past two decades, providing good stopping power for gamma rays, lightweight camera heads and improved…”
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    Journal Article Book Review
  3. 3

    Comprehensive prognostic modeling of locoregional recurrence after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma by Liu, Hongjia, Zhao, Dan, Huang, Yuliang, Li, Chenguang, Dong, Zhengkun, Tian, Hongbo, Sun, Yijie, Lu, Yanye, Chen, Chen, Wu, Hao, Zhang, Yibao

    Published in Frontiers in oncology (21-03-2023)
    “…To propose and evaluate a comprehensive modeling approach combing radiomics, dosiomics and clinical components, for more accurate prediction of locoregional…”
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    Journal Article
  4. 4

    A super-resolution method-based pipeline for fundus fluorescein angiography imaging by Jiang, Zhe, Yu, Zekuan, Feng, Shouxin, Huang, Zhiyu, Peng, Yahui, Guo, Jianxin, Ren, Qiushi, Lu, Yanye

    Published in Biomedical engineering online (19-09-2018)
    “…Fundus fluorescein angiography (FFA) imaging is a standard diagnostic tool for many retinal diseases such as age-related macular degeneration and diabetic…”
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    Journal Article
  5. 5

    A cancer cell membrane coated, doxorubicin and microRNA co-encapsulated nanoplatform for colorectal cancer theranostics by Zhu, Sihao, Li, Ziyuan, Zheng, Dongye, Yu, Yue, Xiang, Jing, Ma, Xiao, Xu, Dongqing, Qiu, Jiajun, Yang, Ziyu, Wang, Zhiyi, Li, Jun, Sun, Hongfang, Chen, Weiqiang, Meng, Xiangxi, Lu, Yanye, Ren, Qiushi

    Published in Molecular therapy. Oncolytics (16-03-2023)
    “…Endogenous microRNAs (miRNA) in tumors are currently under exhaustive investigation as potential therapeutic agents for cancer treatment. Nevertheless, RNase…”
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    Journal Article
  6. 6

    A practical calibration criterion for image-based material decomposition in spectral computed tomography by Yang, Kun, Zhai, Xiaohui, Xie, Zhaoheng, Zhou, Kun, Meng, Xiangxi, Ren, Qiushi, Lu, Yanye

    Published in Alexandria engineering journal (01-06-2020)
    “…This study aimed to provide a calibration criterion based on the condition number (Cond, Q) of the basis material matrix (BMM) to optimize experimental…”
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    Journal Article
  7. 7

    Choroidal Optical Coherence Tomography Angiography: Noninvasive Choroidal Vessel Analysis via Deep Learning by Zhu, Lei, Li, Junmeng, Hu, Yicheng, Zhu, Ruilin, Zeng, Shuang, Rong, Pei, Zhang, Yadi, Gu, Xiaopeng, Wang, Yuwei, Zhang, Zhiyue, Yang, Liu, Ren, Qiushi, Lu, Yanye

    Published in Health data science (2024)
    “…The choroid is the most vascularized structure in the human eye, associated with numerous retinal and choroidal diseases. However, the vessel distribution of…”
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    Journal Article
  8. 8

    In vivo long-term investigation of tumor bearing mKate2 by an in-house fluorescence molecular imaging system by Zhou, Kedi, Ding, Yichen, Vuletic, Ivan, Tian, Yonglu, Li, Jun, Liu, Jinghao, Huang, Yixing, Sun, Hongfang, Li, Changhui, Ren, Qiushi, Lu, Yanye

    Published in Biomedical engineering online (29-12-2018)
    “…Optical imaging is one of the most common, low-cost imaging tools used for investigating the tumor biological behavior in vivo. This study explores the…”
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    Journal Article
  9. 9

    Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging by Lu, Yanye, Kowarschik, Markus, Huang, Xiaolin, Chen, Shuqing, Ren, Qiushi, Fahrig, Rebecca, Hornegger, Joachim, Maier, Andreas

    “…Material decomposition allows the reconstruction of material-specific images in spectral X-ray imaging, which requires efficient decomposition models. Due to…”
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    Journal Article
  10. 10

    3-D printing based production of head and neck masks for radiation therapy using CT volume data: A fully automatic framework by Shuqing Chen, Yanye Lu, Hopfgartner, Christian, Suhling, Michael, Steidl, Stefan, Hornegger, Joachim, Maier, Andreas

    “…In this study, we proposed a fully automatic framework to construct and produce immobilization masks for radiation therapy of head/neck. This method uses 3-D…”
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    Conference Proceeding Journal Article
  11. 11

    3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond by Chen, Qian, Zhang, Zhenxi, Lu, Yanye, Fu, Keren, Zhao, Qijun

    “…RGB-depth (RGB-D) salient object detection (SOD) recently has attracted increasing research interest, and many deep learning methods based on encoder-decoder…”
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    Journal Article
  12. 12

    Direct Synthesis of α-Methoxyphenylacetic Acid Via Tandem Catalysis from Styrene and Methanol with Co3O4/CuCo2O4 Heterostructures by Liu, Jiangyong, Lu, Yanye, Jian, Panming

    Published in Catalysis letters (01-11-2023)
    “…Tandem catalysis as an exciting research frontier has recently aroused wide attention due to the eliminated intermediate work-up, improved production…”
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    Journal Article
  13. 13

    Direct Synthesis of [alpha]-Methoxyphenylacetic Acid Via Tandem Catalysis from Styrene and Methanol with Co.sub.3O.sub.4/CuCo.sub.2O.sub.4 Heterostructures by Liu, Jiangyong, Lu, Yanye, Jian, Panming

    Published in Catalysis letters (01-11-2023)
    “…Tandem catalysis as an exciting research frontier has recently aroused wide attention due to the eliminated intermediate work-up, improved production…”
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    Journal Article
  14. 14

    Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption by Zhu, Lei, She, Qi, Chen, Qian, Ren, Qiushi, Lu, Yanye

    “…Weakly supervised object localization (WSOL), adopting only image-level annotations to learn the pixel-level localization model, can release human resources in…”
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    Journal Article
  15. 15

    PCNet: Prior Category Network for CT Universal Segmentation Model by Chen, Yixin, Gao, Yajuan, Zhu, Lei, Shao, Wenrui, Lu, Yanye, Han, Hongbin, Xie, Zhaoheng

    Published in IEEE transactions on medical imaging (01-09-2024)
    “…Accurate segmentation of anatomical structures in Computed Tomography (CT) images is crucial for clinical diagnosis, treatment planning, and disease…”
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    Journal Article
  16. 16

    Content-Noise Complementary Learning for Medical Image Denoising by Geng, Mufeng, Meng, Xiangxi, Yu, Jiangyuan, Zhu, Lei, Jin, Lujia, Jiang, Zhe, Qiu, Bin, Li, Hui, Kong, Hanjing, Yuan, Jianmin, Yang, Kun, Shan, Hongming, Han, Hongbin, Yang, Zhi, Ren, Qiushi, Lu, Yanye

    Published in IEEE transactions on medical imaging (01-02-2022)
    “…Medical imaging denoising faces great challenges, yet is in great demand. With its distinctive characteristics, medical imaging denoising in the image domain…”
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    Journal Article
  17. 17

    Generative learning-based lightweight MRI brain tumor segmentation with missing modalities by Zhang, Xinliang, Chen, Qian, He, Hangzhou, Zhu, Lei, Xie, Zhaoheng, Lu, Yanye, Cheng, Fangxiao

    Published in Expert systems with applications (01-02-2025)
    “…Accurate segmentation of brain tumors across multiple MRI modalities is crucial for clinical diagnosis and prognosis. However, encountering missing modalities…”
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    Journal Article
  18. 18

    Noise-imitation learning: unpaired speckle noise reduction for optical coherence tomography by Yao, Bin, Jin, Lujia, Hu, Jiakui, Liu, Yuzhao, Yan, Yuepeng, Li, Qing, Lu, Yanye

    Published in Physics in medicine & biology (03-09-2024)
    “…Optical coherence tomography (OCT) is widely used in clinical practice for its non-invasive, high-resolution imaging capabilities. However, speckle noise…”
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    Journal Article
  19. 19

    Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function by Qiu, Bin, Huang, Zhiyu, Liu, Xi, Meng, Xiangxi, You, Yunfei, Liu, Gangjun, Yang, Kun, Maier, Andreas, Ren, Qiushi, Lu, Yanye

    Published in Biomedical optics express (01-02-2020)
    “…Optical coherence tomography (OCT) is susceptible to the coherent noise, which is the speckle noise that deteriorates contrast and the detail structural…”
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    Journal Article
  20. 20

    One-Pot Multi-frame Denoising by Jin, Lujia, Guo, Qing, Zhao, Shi, Zhu, Lei, Chen, Qian, Ren, Qiushi, Lu, Yanye

    Published in International journal of computer vision (01-02-2024)
    “…The efficacy of learning-based denoising techniques is heavily reliant on the quality of clean supervision. Unfortunately, acquiring clean images in many…”
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    Journal Article