| Hscnn+: Advanced cnn-based hyperspectral recovery from rgb images Z Shi, C Chen, Z Xiong, D Liu, F Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 276 | 2018 |
| Hscnn: Cnn-based hyperspectral image recovery from spectrally undersampled projections Z Xiong, Z Shi, H Li, L Wang, D Liu, F Wu Proceedings of the IEEE international conference on computer vision …, 2017 | 226 | 2017 |
| Deep residual attention network for spectral image super-resolution Z Shi, C Chen, Z Xiong, D Liu, ZJ Zha, F Wu Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 54 | 2018 |
| PIRM2018 challenge on spectral image super-resolution: methods and results M Shoeiby, A Robles-Kelly, R Timofte, R Zhou, F Lahoud, S Susstrunk, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 21 | 2018 |
| A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images H Duanmu, S Bhattarai, H Li, Z Shi, F Wang, G Teodoro, K Gogineni, ... Bioinformatics 38 (19), 4605-4612, 2022 | 15 | 2022 |
| Hsvcnn: Cnn-based hyperspectral reconstruction from rgb videos H Li, Z Xiong, Z Shi, L Wang, D Liu, F Wu 2018 25th IEEE International Conference on Image Processing (ICIP), 3323-3327, 2018 | 14 | 2018 |
| Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification Z Shi, J Zhang, J Kong, F Wang arXiv preprint arXiv:2403.18134, 2024 | | 2024 |
