| Reconstruction of a high-resolution image on a compound-eye image-capturing system Y Kitamura, R Shogenji, K Yamada, S Miyatake, M Miyamoto, T Morimoto, ... Applied Optics 43 (8), 1719-1727, 2004 | 131 | 2004 |
| Multispectral imaging using compact compound optics R Shogenji, Y Kitamura, K Yamada, S Miyatake, J Tanida Optics Express 12 (8), 1643-1655, 2004 | 130 | 2004 |
| Color imaging with an integrated compound imaging system J Tanida, R Shogenji, Y Kitamura, K Yamada, M Miyamoto, S Miyatake Optics Express 11 (18), 2109-2117, 2003 | 101 | 2003 |
| Bimodal fingerprint capturing system based on compound-eye imaging module R Shogenji, Y Kitamura, K Yamada, S Miyatake, J Tanida Applied Optics 43 (6), 1355-1359, 2004 | 59 | 2004 |
| Automatic coronary extraction by supervised detection and shape matching Y Kitamura, Y Li, W Ito 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 234-237, 2012 | 35 | 2012 |
| Synthesizing diverse lung nodules wherever massively: 3D multi-conditional GAN-based CT image augmentation for object detection C Han, Y Kitamura, A Kudo, A Ichinose, L Rundo, Y Furukawa, ... 2019 International Conference on 3D Vision (3DV), 729-737, 2019 | 34 | 2019 |
| Coronary lumen and plaque segmentation from CTA using higher-order shape prior Y Kitamura, Y Li, W Ito, H Ishikawa International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 22 | 2014 |
| Data-dependent higher-order clique selection for artery–vein segmentation by energy minimization Y Kitamura, Y Li, W Ito, H Ishikawa International Journal of Computer Vision 117 (2), 142-158, 2016 | 18 | 2016 |
| Robust airway extraction based on machine learning and minimum spanning tree T Inoue, Y Kitamura, Y Li, W Ito Medical Imaging 2013: Computer-Aided Diagnosis 8670, 86700L, 2013 | 12 | 2013 |
| Virtual thin slice: 3D conditional GAN-based Super-resolution for CT slice interval A Kudo, Y Kitamura, Y Li, S Iizuka, E Simo-Serra International Workshop on Machine Learning for Medical Image Reconstruction …, 2019 | 10 | 2019 |
| Adaptive higher-order submodular potentials for pulmonary artery-vein segmentation Y Kitamura, Y Li, W Ito, H Ishikawa Proc. Fifth Int. Work. Pulm. Image Anal, 53-61, 2013 | 10 | 2013 |
| Computation of total kidney volume from CT images in autosomal dominant polycystic kidney disease using multi-task 3D convolutional neural networks D Keshwani, Y Kitamura, Y Li International Workshop on Machine Learning in Medical Imaging, 380-388, 2018 | 8 | 2018 |
| Psoas major muscle segmentation using higher-order shape prior T Inoue, Y Kitamura, Y Li, W Ito, H Ishikawa International MICCAI workshop on medical computer vision, 116-124, 2015 | 6 | 2015 |
| 高階エネルギー最小化による医用画像セグメンテーション 北村嘉郎， 石川博 電子情報通信学会論文誌 D 101 (1), 3-26, 2018 | 1 | 2018 |
| Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks N Masuzawa, Y Kitamura, K Nakamura, S Iizuka, E Simo-Serra International Conference on Medical Image Computing and Computer-Assisted …, 2020 | | 2020 |
| TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling D Keshwani, Y Kitamura, S Ihara, S Iizuka, E Simo-Serra International Conference on Medical Image Computing and Computer-Assisted …, 2020 | | 2020 |
| 高階エネルギー最適化手法に基づく医用画像セグメンテーション技術の開発 北村嘉郎 早稲田大学, 2016 | | 2016 |
| An image reconstruction method based on machine learning for dual-energy subtraction radiography [6914-71] Y Kitamura, M Yamada, W Ito PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 6914 (2 …, 2008 | | 2008 |
Hiroshi IshikawaProfessor, Department of Computer Science and Engineering, Waseda UniversityVerified email at waseda.jp
