Enhancing retinal image by the Contourlet transform P Feng, Y Pan, B Wei, W Jin, D Mi Pattern Recognition Letters 28 (4), 516-522, 2007 | 199 | 2007 |
Solution‐processed lead‐free perovskite nanocrystal scintillators for high‐resolution X‐ray CT imaging J Zhou, K An, P He, J Yang, C Zhou, Y Luo, W Kang, W Hu, P Feng, ... Advanced Optical Materials 9 (11), 2002144, 2021 | 92 | 2021 |
Low-dose CT image denoising using a generative adversarial network with a hybrid loss function for noise learning Y Ma, B Wei, P Feng, P He, X Guo, G Wang IEEE Access 8, 67519-67529, 2020 | 84 | 2020 |
A ViT-AMC network with adaptive model fusion and multiobjective optimization for interpretable laryngeal tumor grading from histopathological images P Huang, P He, S Tian, M Ma, P Feng, H Xiao, F Mercaldo, A Santone, ... IEEE Transactions on Medical Imaging 42 (1), 15-28, 2022 | 65 | 2022 |
Analytic Comparison between X-ray Fluorescence CT and K-edge CT P Feng, W Cong, B Wei, G Wang IEEE Transactions on Biomedical Engineering 61 (3), 975-985, 2014 | 50 | 2014 |
Sinogram denoising via attention residual dense convolutional neural network for low-dose computed tomography YJ Ma, Y Ren, P Feng, P He, XD Guo, B Wei Nuclear Science and Techniques 32, 1-14, 2021 | 37 | 2021 |
A CT Reconstruction Algorithm Based on L1/2 Regularization M Chen, D Mi, P He, L Deng, B Wei Computational and Mathematical Methods in Medicine 2014 (1), 862910, 2014 | 29 | 2014 |
Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention P Huang, X Zhou, P He, P Feng, S Tian, Y Sun, F Mercaldo, A Santone, ... Computers in Biology and Medicine 154, 106447, 2023 | 26 | 2023 |
E-TBNet: Light Deep Neural Network for automatic detection of tuberculosis with X-ray DR Imaging L An, K Peng, X Yang, P Huang, Y Luo, P Feng, B Wei Sensors 22 (3), 821, 2022 | 25 | 2022 |
LA-ViT: A Network with Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset P Huang, H Xiao, P He, C Li, X Guo, S Tian, P Feng, H Chen, Y Sun, ... IEEE Journal of Biomedical and Health Informatics, 2024 | 22 | 2024 |
Fully convolutional pyramidal networks for semantic segmentation F Li, Z Long, P He, P Feng, X Guo, X Ren, B Wei, M Zhao, B Tang Ieee Access 8, 229132-229140, 2020 | 22 | 2020 |
Multi-material decomposition of spectral CT images via Fully Convolutional DenseNets X Wu, P He, Z Long, X Guo, M Chen, X Ren, P Chen, L Deng, K An, P Li, ... Journal of X-Ray Science and Technology 27 (3), 461-471, 2019 | 22 | 2019 |
Noise removal approach using Curvelet transform P Feng, M De-ling, Y PAN Opto-electronic Engineering 32 (9), 67-68, 2005 | 21* | 2005 |
MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading P Huang, C Li, P He, H Xiao, Y Ping, P Feng, S Tian, H Chen, F Mercaldo, ... Information Fusion 108, 102333, 2024 | 20 | 2024 |
紫外-可见吸收光谱法水质检测系统的噪声分析与处理研究 汤斌, 魏彪, 毛本将, 赵敬晓, 冯鹏 激光与光电子学进展 51 (4), 043002, 2014 | 20 | 2014 |
Material Discrimination Based on K‐edge Characteristics P He, B Wei, P Feng, M Chen, D Mi Computational and Mathematical Methods in Medicine 2013 (1), 308520, 2013 | 17 | 2013 |
A Geant4-based Monte Carlo study of a benchtop multi-pinhole X-ray fluorescence computed tomography imaging L Deng, B Wei, P He, Y Zhang, P Feng International Journal of Nanomedicine, 7207-7216, 2018 | 16 | 2018 |
Monte Carlo simulation for polychromatic x‐ray fluorescence computed tomography with sheet‐beam geometry S Jiang, P He, L Deng, M Chen, B Wei International journal of biomedical imaging 2017 (1), 7916260, 2017 | 15 | 2017 |
A fusion algorithm for GFP image and phase contrast image of Arabidopsis cell based on SFL‐contourlet transform P Feng, J Wang, B Wei, D Mi Computational and mathematical methods in medicine 2013 (1), 635040, 2013 | 14 | 2013 |
Spectral2Spectral: Image-spectral similarity assisted deep spectral CT reconstruction without reference X Guo, Y Li, D Chang, P He, P Feng, H Yu, W Wu IEEE Transactions on Computational Imaging, 2023 | 13 | 2023 |