| Reconstruction of porous media from extremely limited information using conditional generative adversarial networks J Feng, X He, Q Teng, C Ren, H Chen, Y Li Physical Review E 100 (3), 033308, 2019 | 167 | 2019 |
| CT-image of rock samples super resolution using 3D convolutional neural network Y Wang, Q Teng, X He, J Feng, T Zhang Computers & Geosciences 133, 104314, 2019 | 132 | 2019 |
| An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning J Feng, Q Teng, B Li, X He, H Chen, Y Li Computer Methods in Applied Mechanics and Engineering 368, 113043, 2020 | 105 | 2020 |
| Accelerating multi-point statistics reconstruction method for porous media via deep learning J Feng, Q Teng, X He, X Wu Acta Materialia 159, 296-308, 2018 | 104 | 2018 |
| Super-resolution of real-world rock microcomputed tomography images using cycle-consistent generative adversarial networks H Chen, X He, Q Teng, RE Sheriff, J Feng, S Xiong Physical Review E 101 (2), 023305, 2020 | 83 | 2020 |
| Object tracking using firefly algorithm ML Gao, XH He, DS Luo, J Jiang, QZ Teng IET Computer Vision 7 (4), 227-237, 2013 | 76 | 2013 |
| A pixel selection rule based on the number of different‐phase neighbours for the simulated annealing reconstruction of sandstone microstructure T TANG, Q TENG, X HE, D Luo Journal of microscopy 234 (3), 262-268, 2009 | 76 | 2009 |
| Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model F Zhang, Q Teng, H Chen, X He, X Dong Computational Materials Science 186, 110018, 2021 | 71 | 2021 |
| Single image super-resolution using local geometric duality and non-local similarity C Ren, X He, Q Teng, Y Wu, TQ Nguyen IEEE Transactions on Image Processing 25 (5), 2168-2183, 2016 | 68 | 2016 |
| Reconstruction of three-dimensional porous media from a single two-dimensional image using three-step sampling ML Gao, XH He, QZ Teng, C Zuo, DD Chen Physical Review E 91 (1), 013308, 2015 | 63 | 2015 |
| Stable-phase method for hierarchical annealing in the reconstruction of porous media images DD Chen, Q Teng, X He, Z Xu, Z Li Physical Review E 89 (1), 013305, 2014 | 62 | 2014 |
| Single image super-resolution via adaptive transform-based nonlocal self-similarity modeling and learning-based gradient regularization H Chen, X He, L Qing, Q Teng IEEE Transactions on Multimedia 19 (8), 1702-1717, 2017 | 58 | 2017 |
| CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks H Chen, X He, C Ren, L Qing, Q Teng Neurocomputing 285, 204-219, 2018 | 55 | 2018 |
| Diagnosis of Alzheimer's disease based on regional attention with sMRI gray matter slices Y Zhang, Q Teng, Y Liu, Y Liu, X He Journal of neuroscience methods 365, 109376, 2022 | 52 | 2022 |
| Reconstruction of three-dimensional heterogeneous media from a single two-dimensional section via co-occurrence correlation function J Feng, Q Teng, X He, L Qing, Y Li Computational Materials Science 144, 181-192, 2018 | 51 | 2018 |
| A high accuracy flow segmentation method in crowded scenes based on streakline X Wang, X Yang, X He, Q Teng, M Gao Optik 125 (3), 924-929, 2014 | 42 | 2014 |
| An iterative framework of cascaded deblocking and superresolution for compressed images T Li, X He, L Qing, Q Teng, H Chen IEEE Transactions on Multimedia 20 (6), 1305-1320, 2017 | 39 | 2017 |
| Improved multipoint statistics method for reconstructing three-dimensional porous media from a two-dimensional image via porosity matching K Ding, Q Teng, Z Wang, X He, J Feng Physical Review E 97 (6), 063304, 2018 | 35 | 2018 |
| Sparse representation-based volumetric super-resolution algorithm for 3D CT images of reservoir rocks Z Li, Q Teng, X He, G Yue, Z Wang Journal of Applied Geophysics 144, 69-77, 2017 | 34 | 2017 |
| Pattern density function for reconstruction of three-dimensional porous media from a single two-dimensional image M Gao, Q Teng, X He, C Zuo, ZJ Li Physical Review E 93 (1), 012140, 2016 | 33 | 2016 |
xiaohai hesichuan universityПодтвержден адрес электронной почты в домене scu.edu.cn
