| A deep CNN based transfer learning method for false positive reduction Z Shi, H Hao, M Zhao, Y Feng, L He, Y Wang, K Suzuki Multimedia Tools and Applications 78, 1017-1033, 2019 | 125 | 2019 |
| Survey on neural networks used for medical image processing Z Shi, L He, K Suzuki, T Nakamura, H Itoh International journal of computational science 3 (1), 86, 2009 | 88 | 2009 |
| Application of neural networks in medical image processing Z Shi, L He Proceedings of the second international symposium on networking and network …, 2010 | 82 | 2010 |
| Nighttime low illumination image enhancement with single image using bright/dark channel prior Z Shi, MM Zhu, B Guo, M Zhao, C Zhang EURASIP Journal on Image and Video Processing 2018, 1-15, 2018 | 73 | 2018 |
| Normalised gamma transformation‐based contrast‐limited adaptive histogram equalisation with colour correction for sand–dust image enhancement Z Shi, Y Feng, M Zhao, E Zhang, L He IET Image Processing 14 (4), 747-756, 2020 | 72 | 2020 |
| A new method of detecting pulmonary nodules with PET/CT based on an improved watershed algorithm J Zhao, G Ji, Y Qiang, X Han, B Pei, Z Shi PloS one 10 (4), e0123694, 2015 | 67 | 2015 |
| Let you see in sand dust weather: A method based on halo-reduced dark channel prior dehazing for sand-dust image enhancement Z Shi, Y Feng, M Zhao, E Zhang, L He Ieee Access 7, 116722-116733, 2019 | 66 | 2019 |
| Lung segmentation in chest radiographs by means of gaussian kernel-based fcm with spatial constraints Z Shi, P Zhou, L He, T Nakamura, Q Yao, H Itoh 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery …, 2009 | 36 | 2009 |
| Automatic segmentation of urban point clouds based on the Gaussian map Y Wang, W Hao, X Ning, M Zhao, J Zhang, Z Shi, X Zhang The Photogrammetric Record 28 (144), 342-361, 2013 | 32 | 2013 |
| Many is better than one: an integration of multiple simple strategies for accurate lung segmentation in CT images Z Shi, J Ma, M Zhao, Y Liu, Y Feng, M Zhang, L He, K Suzuki BioMed research international 2016, 2016 | 31 | 2016 |
| Current status and future potential of neural networks used for medical image processing Z Shi, L He Journal of multimedia 6 (3), 244, 2011 | 24 | 2011 |
| Weighted median guided filtering method for single image rain removal Z Shi, Y Li, C Zhang, M Zhao, Y Feng, B Jiang EURASIP Journal on Image and Video Processing 2018, 1-8, 2018 | 21 | 2018 |
| A photographic negative imaging inspired method for low illumination night-time image enhancement Z Shi, M Zhu, B Guo, M Zhao Multimedia Tools and Applications 76, 15027-15048, 2017 | 21 | 2017 |
| A computer aided pulmonary nodule detection system using multiple massive training SVMs Z Shi, M Zhao, L He, Y Wang, M Zhang, K Suzuki Applied Mathematics & Information Sciences 7 (3), 1165, 2013 | 21 | 2013 |
| Fast single-image dehazing method based on luminance dark prior Z Shi, M Zhu, Z Xia, M Zhao International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017 | 20 | 2017 |
| A novel individual location recommendation system based on mobile augmented reality Z Shi, H Wang, W Wei, X Zheng, M Zhao, J Zhao 2015 International Conference on Identification, Information, and Knowledge …, 2015 | 19 | 2015 |
| A new artistic information extraction method with multi channels and guided filters for calligraphy works X Zheng, Q Miao, Z Shi, Y Fan, W Shui Multimedia Tools and Applications 75, 8719-8744, 2016 | 17 | 2016 |
| Restoration of motion blurred images based on rich edge region extraction using a gray-level co-occurrence matrix M Zhao, X Zhang, Z Shi, P Li, B Li IEEE Access 6, 15532-15540, 2018 | 16 | 2018 |
| Automatic building extraction from terrestrial laser scanning data W Hao, Y Wang, X Ning, M Zhao, J Zhang, Z Shi, X Zhang Advances in Electrical and Computer Engineering 13 (3), 11-16, 2013 | 16 | 2013 |
| Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD) K Suzuki, Z Shi, J Zhang 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 16 | 2008 |
Kenji SuzukiProfessor of Biomedical AI, Institute of Innovative Research, Tokyo Institute of TechnologyVerified email at m.titech.ac.jp
