| Tracking and segmentation of the airways in chest CT using a fully convolutional network Q Meng, HR Roth, T Kitasaka, M Oda, J Ueno, K Mori Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 50 | 2017 |
| Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume Q Meng, T Kitasaka, Y Nimura, M Oda, J Ueno, K Mori International journal of computer assisted radiology and surgery 12, 245-261, 2017 | 45 | 2017 |
| Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014 … E Bayro-Corrochano, E Hancock Springer, 2014 | 25* | 2014 |
| ADINet: Attribute driven incremental network for retinal image classification Q Meng, S Shin'ichi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 24 | 2020 |
| How to extract more information with less burden: Fundus image classification and retinal disease localization with ophthalmologist intervention Q Meng, Y Hashimoto, S Satoh IEEE Journal of Biomedical and Health Informatics 24 (12), 3351-3361, 2020 | 22 | 2020 |
| Weakly-supervised learning with complementary heatmap for retinal disease detection Q Meng, L Liao, SI Satoh IEEE Transactions on Medical Imaging 41 (8), 2067-2078, 2022 | 16 | 2022 |
| Fundus image classification and retinal disease localization with limited supervision Q Meng, Y Hashimoto, S Satoh Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand …, 2020 | 11 | 2020 |
| Endoscopic image clustering with temporal ordering information based on dynamic programming S Harada, H Hayashi, R Bise, K Tanaka, Q Meng, S Uchida 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 6 | 2019 |
| Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow Q Meng, T Kitasaka, M Oda, J Ueno, K Mori Medical Imaging Technology 36 (3), 133-146, 2018 | 3 | 2018 |
| Accurate airway segmentation based on intensity structure analysis and graph-cut Q Meng, T Kitsaka, Y Nimura, M Oda, K Mori Medical Imaging 2016: Image Processing 9784, 661-669, 2016 | 3 | 2016 |
| Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter Q Meng, T Kitasaka, M Oda, K Mori Medical Imaging 2017: Computer-Aided Diagnosis 10134, 984-989, 2017 | 2 | 2017 |
| A study on improvement of airway segmentation using Hybrid method M Qier, T Kitasaka, Y Nimura, M Oda, K Mori 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 549-553, 2015 | 1 | 2015 |
| Fundus Image Classification and Retinal Disease Localization with Limited Supervision Y Hashimoto, S Satoh, Q Meng (No Title), 2020 | | 2020 |
| Study on precise airway segmentation from chest CT volumes based on machine learning and local intensity analysis Q MENG 名古屋大学, 2018 | | 2018 |
| A study on bronchus segmentation based on machine learning method from chest CT Image Q Meng, T Kitasaka, Y Nimura 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (25), 121-126, 2015 | | 2015 |
