| Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study. N Asada, K Doi, H MacMahon, SM Montner, ML Giger, C Abe, Y Wu Radiology 177 (3), 857-860, 1990 | 205 | 1990 |
| Method and system for differential diagnosis based on clinical and radiological information using artificial neural networks N Asada, K Doi US Patent 5,463,548, 1995 | 154 | 1995 |
| Dense 3D reconstruction method using a single pattern for fast moving object R Sagawa, Y Ota, Y Yagi, R Furukawa, N Asada, H Kawasaki 2009 IEEE 12th International Conference on Computer Vision, 1779-1786, 2009 | 142 | 2009 |
| Photometric calibration of zoom lens systems N Asada, A Amano, M Baba Proceedings of 13th International Conference on Pattern Recognition 1, 186-190, 1996 | 127 | 1996 |
| Edge and depth from focus N Asada, H Fujiwara, T Matsuyama International Journal of Computer Vision 26 (2), 153-163, 1998 | 116 | 1998 |
| Shadow removal from a real image based on shadow density M Baba, M Mukunoki, N Asada ACM SIGGRAPH 2004 Posters, 60, 2004 | 100 | 2004 |
| Method and system for differential diagnosis based on clinical and radiological information using artificial neural networks N Asada, K Doi US Patent 5,622,171, 1997 | 94 | 1997 |
| Analysis of photometric properties of occluding edges by the reversed projection blurring model N Asada, H Fujiwara, T Matsuyama IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (2), 155-167, 1998 | 87 | 1998 |
| カメラキャリブレーション. コンピュータビジョン: 技術評論と将来展望 浅田尚紀 新技術コミュニケーションズ 3, 1998 | 82* | 1998 |
| Surface normal estimation of black specular objects from multiview polarization images D Miyazaki, T Shigetomi, M Baba, R Furukawa, S Hiura, N Asada Optical Engineering 56 (4), 041303, 2016 | 68 | 2016 |
| Efficient rate-distortion compression of dynamic point cloud for grid-pattern-based 3D scanning systems I Daribo, R Furukawa, R Sagawa, H Kawasaki, S Hiura, N Asada 3D Research 3 (1), 2, 2012 | 66 | 2012 |
| A thin lens based camera model for depth estimation from defocus and translation by zooming M Baba, N Asada, A Oda, T Migita Proc. 15th Int. Conf. on Vision Interface, 2002 | 51 | 2002 |
| Optimal dose and injection duration (injection rate) of contrast material for depiction of hypervascular hepatocellular carcinomas by multidetector CT Y Yanaga, K Awai, Y Nakayama, T Nakaura, Y Tamura, Y Funama, ... Radiation medicine 25 (6), 278-288, 2007 | 50 | 2007 |
| Depth from blur by zooming N Asada, M Baba, A Oda Proc. Vision Interface, 165-172, 2001 | 43 | 2001 |
| Shadow removal from a real picture M Baba, N Asada ACM SIGGRAPH 2003 Sketches & Applications, 1-1, 2003 | 38 | 2003 |
| Graph grammar based analysis system of complex table form document A Amano, N Asada Document Analysis and Recognition, 2003. Proceedings. Seventh International …, 2003 | 37 | 2003 |
| Polarization-based dehazing using two reference objects D Miyazaki, D Akiyama, M Baba, R Furukawa, S Hiura, N Asada Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 34 | 2013 |
| Polarization-based surface normal estimation of black specular objects from multiple viewpoints D Miyazaki, T Shigetomi, M Baba, R Furukawa, S Hiura, N Asada 2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012 | 34 | 2012 |
| One-shot entire shape acquisition method using multiple projectors and cameras R Furukawa, R Sagawa, H Kawasaki, K Sakashita, Y Yagi, N Asada 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 107-114, 2010 | 33 | 2010 |
| Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making Y Wu, K Doi, CE Metz, N Asada, ML Giger Journal of digital imaging 6 (2), 117, 1993 | 31 | 1993 |
