フォロー
Qier Meng
タイトル
引用先
引用先
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
432017
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
412017
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
29*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
202020
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
172020
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
112022
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
102020
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
62019
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
32018
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
32016
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
12017
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
12015
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
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