| Automated segmentation of psoas major muscle in X-ray CT images by use of a shape model: preliminary study N Kamiya, X Zhou, H Chen, C Muramatsu, T Hara, R Yokoyama, ... Radiological physics and technology 5, 5-14, 2012 | 49 | 2012 |
| Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications N Kamiya, J Li, M Kume, H Fujita, D Shen, G Zheng International journal of computer assisted radiology and surgery 13, 1697-1706, 2018 | 33 | 2018 |
| Deep learning technique for musculoskeletal analysis N Kamiya Deep Learning in Medical Image Analysis: Challenges and Applications, 165-176, 2020 | 25 | 2020 |
| Automated segmentation of recuts abdominis muscle using shape model in X-ray CT images N Kamiya, X Zhou, H Chen, C Muramatsu, T Hara, R Yokoyama, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 22 | 2011 |
| Automated recognition of erector spinae muscles and their skeletal attachment region via deep learning in torso CT images N Kamiya, M Kume, G Zheng, X Zhou, H Kato, H Chen, C Muramatsu, ... Computational Methods and Clinical Applications in Musculoskeletal Imaging …, 2019 | 14 | 2019 |
| Automated recognition of the psoas major muscles on X-ray CT images N Kamiya, X Zhou, H Chen, T Hara, H Hoshi, R Yokoyama, M Kanematsu, ... 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 14 | 2009 |
| Muscle segmentation for orthopedic interventions N Kamiya Intelligent Orthopaedics: Artificial Intelligence and Smart Image-guided …, 2018 | 12 | 2018 |
| Surface Muscle Segmentation using 3D U-Net based on Selective Voxel Patch Generation in Whole-body CT Images N Kamiya, A Oshima, X Zhou, H Kato, T Hara, T Miyoshi, M Matsuo, ... Applied Sciences 10 (13), 4477, 2020 | 10 | 2020 |
| Model construction for computational anatomy: progress overview FY2009-FY2013 H Fujita, T Hara, X Zhou, C Muramatsu, N Kamiya, M Zhang, D Fukuoka, ... Proc. of the Fifth International Symposium on the Project “Computational …, 2014 | 10 | 2014 |
| Automated segmentation and recognition of abdominal wall muscles in X-ray torso CT images and its application in abdominal CAD X Zhou, N Kamiya, T Hara, H Fujita, H Chen, R Yokoyama, H Hoshi International Journal of Computer Assisted Radiology and Surgery (Print) 2 …, 2007 | 10 | 2007 |
| Automated recognition of human strucure from torso CT images X Zhou, N Kamiya, T Kara, H Fujita, R Yokoyama, T Kiryu, H Hoshi Proceedings of the Fourth IASTED International Conference on Visualization …, 2004 | 10 | 2004 |
| Simultaneous Learning of Erector Spinae Muscles for Automatic Segmentation of Site-Specific Skeletal Muscles in Body CT Images M Kawamoto, N Kamiya, X Zhou, H Kato, T Hara, H Fujita IEEE Access 12, 15468 - 15476, 2023 | 9 | 2023 |
| Model-based approach to recognize the rectus abdominis muscle in CT images N Kamiya, X Zhou, H Chen, C Muramatsu, T Hara, H Fujita IEICE TRANSACTIONS on Information and Systems 96 (4), 869-871, 2013 | 9 | 2013 |
| Automatic classification of fiber composition in digital macro images using VGG-16 for nondestructive paper analysis A Ikuta, A Oshima, Y Urano, K Shibazaki, N Kamiya The Journal of Institute of Image Electronics Engineers of Japan (IIEEJ) 49 …, 2020 | 7 | 2020 |
| Relationship between number of annotations and accuracy in segmentation of the erector spinae muscle using Bayesian U-Net in torso CT images Y Wakamatsu, N Kamiya, X Zhou, T Hara, H Fujita International Forum on Medical Imaging in Asia 2021 11792, 30-33, 2021 | 6 | 2021 |
| AlexNet を用いたマンモグラフィ画像における乳腺濃度の自動分類 大島あみ， 神谷直希， 篠原範充 医用画像情報学会雑誌 36 (2), 59-63, 2019 | 6 | 2019 |
| Automated recognition of the erector spinae muscle based on deep CNN at the level of the twelfth thoracic vertebrae in torso CT images M Kume, N Kamiya, X Zhou, H Kato, H Chen, C Muramatsu, T Hara, ... Proceedings of the 36th JAMIT annual meeting, 2017 | 6 | 2017 |
| Automatic segmentation of supraspinatus muscle via bone-based localization in torso computed tomography images using U-Net Y Wakamatsu, N Kamiya, X Zhou, H Kato, T Hara, H Fujita IEEE Access 9, 155555-155563, 2021 | 5 | 2021 |
| Automatic classification of hemp and cotton in digital macro photography using VGG-16 for nondestructive paper analysis A Ikuta, A Oshima, A Iwata, Y Urano, M Suzuki, Y Ohyanagi, K Shibazaki, ... 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 496-498, 2019 | 5 | 2019 |
| Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study N Kamiya, K Ieda, X Zhou, M Yamada, H Kato, C Muramatsu, T Hara, ... Medical Imaging 2017: Computer-Aided Diagnosis 10134, 1050-1055, 2017 | 5 | 2017 |
Hiroshi FujitaGifu UniversityVerified email at fjt.info.gifu-u.ac.jp
