H. Hirashima, M. Nakamura, K. Imanishi, M. Nakao, T. Mizowaki, Evaluation of generalization ability for deep learning-based auto-segmentation accuracy in limited field of view CBCT of male pelvic region. J Appl Clin Med Phys., e13912, 2023. [html]
M. Nakao, Medical image synthesis and statistical reconstruction methods, Advanced Medical Engineering, Vol. 12, pp. 21-27, 2023. (Invited review paper) [html]
M. Nakao, M. Nakamura, T. Matsuda, Image-to-graph convolutional network for 2D/3D deformable model registration of low-contrast organs, IEEE Trans. on Medical Imaging, Vol. 41, No. 12, pp. 3747-3761, 2022. [html]
S. Wu, M. Nakao, K. Imanishi, M. Nakamura, T. Mizowaki, T. Matsuda, Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase. PLoS ONE 17(12): e0279005, 2022. [html]
Y. Kadomatsu, M. Nakao, H. Ueno, S. Nakamura, T.F. Chen-Yoshikawa, A novel system applying artificial intelligence in the identification of air leak sites, JTCVS Techniques, Vol. 15, pp. 181-191, 2022. [html]
J. Tokuno, T.F. Chen-Yoshikawa, M. Nakao, M. Iwakura, T. Motoki, T. Matsuda, H. Date, M. Creation of a video library for education and virtual simulation of anatomical lung resection, Interactive Cardiovasular and Thoracic Surgery, Vol. 34, No. 5, pp. 808-813, 2022. [html]
Conference
H. Hirashima, M. Nakamura K. Imanishi, M. Nakao, T. Mizowaki, Auto-Segmentation for Limited Field of View CBCT in Male Pelvic Region Using Deep Learning Method. 64th AAPM annual meeting, 2022. (To appear)
Y. Kishigami, M. Nakamura, M. Nakao, H. Okamoto, A. Takahashi, H. Igaki, Determination of Population-Based Anisotropic Margin for Uterus and Cervix During a Course of Magnetic Resonance-Guided Intensity-Modulated Radiation Therapy, 64th AAPM annual meeting, 2022. (To appear)
K. Arimoto, M. Nakamura, H. Hirashima, M. Nakao, T. Mizowaki, Restoration of Body Outside Field-Of-View On CT Images Using Cycle-Consistent Generative Adversarial Networks. 64th AAPM annual meeting, 2022. (To appear)
M. Nakao, K. Kobayashi, J. Tokuno, T. F. Chen-Yoshikawa, H. Date, T. Matsuda, Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration, Medical Image Analysis, Vol. 73, 102181, 2021. [html]
M. Nakao, M. Nakamura, T. Mizowaki, T. Matsuda, Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization, Medical Image Analysis, Vol. 67, 101829, 2021. [html]
M. Nakamura, M. Nakao, N. Mukumoto, R. Ashida, H. Hirashima, M. Yoshimura et al., Statistical shape model-based planning organ-at-risk volume: application to pancreatic cancer patients, Physics in Medicine & Biology, vol. 66, no. 1, 014001, 2021. [html]
U. Yamamoto, M. Nakao, M. Ohzeki, J. Tokuno, T. Chen-Yoshikawa, T. Matsua, Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks, Expert Systems with Applications, Vol. 183, 115288, 2021. [html]
M. Nakamura, M. Nakao, K. Imanishi, H. Hirashima, Y. Tsuruta, Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region, Radiation Oncology, 16, 96, 2021. [html]
M. Nakao, M. Nakamura, T. Matsuda, "Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 259-268, 2021. [html]
M. Nakao, H. Maekawa, K. Mineura, T. Chen-Yoshikawa, and T. Matsuda, Kernel-based modeling of pneumothorax deformation using intraoperative cone-beam CT images, Proc. SPIE Medical Imaging, 11598, 2021. [html]
T. Hase, M. Nakao, M. Nakamura, T. Matsuda, Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial Network, Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. (To appear)
Z. Wang, M. Nakao, M. Nakamura, T. Matsuda, Shape Reconstruction for Abdominal Organs based on a Graph Convolutional Network, Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. (To appear)
M. Nakamura, M. Nakao, K. Imanishi, H. Hirashima, Y Tsuruta, Geometric and Dosimetric Impact of 3D Generative Adversarial network-Based Metal Artifact Reduction Algorithm On VMAT and IMPT for the Head and Neck Region, AAPM, PO-GePV-M-214, 2021.
M. Nakao, K. Imanishi, N. Ueda, Y. Imai, T. Kirita, T. Matsuda, Regularized three-dimensional generative adversarial nets for unsupervised metal artifact reduction in head and neck CT images, IEEE Access, Vol. 8, pp. 109453-109465, 2020. [html]
J. Tokuno, T. F. Chen-Yoshikawa, M. Nakao, M. Ikeda, T. Matsuda, H. Date, Resection process map: A novel dynamic simulation system for pulmonary resection, The Journal of Thoracic and Cardiovascular Surgery, 159(3), pp.1139-1138, 2020. [html]
K. Nagai, M. Nakao, N. Ueda, Y. Imai, T. Kirita, T. Matsuda, Enumerated sparse extraction of important surgical planning features for mandibular reconstruction, Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. DOI: 10.1109/EMBC44109.2020.9176601 [html]
J. Nitta, M. Nakao, K. Imanishi, T. Matsuda, Deep learning based lung region segmentation with data preprocessing by generative adversarial nets, Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. DOI: 10.1109/EMBC44109.2020.9176214 [html]
H. Maekawa, M. Nakao, K. Mineura, T.F. Chen-Yoshikawa, T. Matsuda, Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images, Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. DOI: 10.1109/EMBC44109.2020.9176729 [html]
F. Tong, M. Nakao, S. Wu, M. Nakamura, T. Matsuda, X-ray2Shape: Reconstruction of 3D liver shape from a single 2D projection image, Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. DOI: 10.1109/EMBC44109.2020.9176655 [html]
T. Yamashita, M. Nakao, Tetsuya Matsuda, Classification of pick and grasp manipulation based on fingertip grip force and velocity, Proc. the 2nd Conference on Biological Imaging and Medical AI, 2020.
T. Hase, M. Nakao, K. Imanishi, M. Nakamura, T. Matsuda, A preliminary study for improving image quality of cone-beam CT images using 3D generative adversarial network, Proc. the 2nd Conference on Biological Imaging and Medical AI, 2020.
M. Nakao, J. Tokuno, T. F. Chen-Yoshikawa, H. Date, T. Matsuda, Surface Deformation Analysis of Collapsed Lungs using Model-based Shape Matching, Int. J. Computer Assisted Radiology and Surgery, 14(10), pp. 1763-1774, 2019. [html]
Y. Uchida, K. Taura, M. Nakao, S. Uemoto, Resection process map: a novel virtual hepatectomy software to visualize the resection process, International Journal of Surgery, 71, pp. 36-40, 2019. [html]
M. Nakamura, M. Nakao, H. Hirashima, H. Iramina, T. Mizowaki, Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer, Journal of Radiation Research, 60(5), pp. 595-602, 2019. [html]
N. Ueda, M. Nakao, N. Yamakawa, Y. Nakagawa, Y. Imai, T. Matsuda, T. Kirita, Assessment of facial asymmetry after mandibular reconstruction with free fibula flap using computer-aided design, 7th WORLD CONGRESS of the International Academy of Oral Oncology, 2019
T. Yamashita, M. Nakao, T. Matsuda, Analysis of fingertip-based features during pick and grasp manipulation, 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. [PDF]
M. Nakao, J. Tokuno, T. Chen-Yoshikawa, H. Date, T. Matsuda, Surface Deformation Analysis of Deaerated Lungs using Model-based Shape Matching, Int. J. Computer Assisted Radiology and Surgery, 2019.
K. Kobayashi, M. Nakao, J. Tokuno, T. F. Chen, H. Date, T. Matsuda, Internal Structure Registration of Deaeration Deformation in vivo Animal Lung, Int. J. Computer Assisted Radiology and Surgery, Vol.14, Suppl. 1, S124-126, 2019. [PDF]
J. Tokuno, T. F. Chen-Yoshikawa, M. Nakao, M. Ikeda, T. Matsuda, H. Date, Development of Novel Dynamic Simulation System for Pulmonary Resection Based on Patient Specific Computed Tomography Data, Annual Meeting of the American Association for Thoracic Surgery(AATS), 159, 2019.
S. Wu, M. Nakao, J. Tokuno, T. Chen-Yoshikawa, T. Matsuda, Reconstructing 3D Lung Shape from a Single 2D Image during the Deaeration Deformation Process using Model-based Data Augmentation, IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2019. [html][PDF]
