Hirohisa Oda (小田紘久)
Hirohisa Oda (小田紘久)
Graduate School of Informatics, Nagoya University (名古屋大学大学院情報学研究科)
Geverifieerd e-mailadres voor mori.m.is.nagoya-u.ac.jp
Titel
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An application of cascaded 3D fully convolutional networks for medical image segmentation
HR Roth, H Oda, X Zhou, N Shimizu, Y Yang, Y Hayashi, M Oda, ...
Computerized Medical Imaging and Graphics 66, 90-99, 2018
1012018
Hierarchical 3D fully convolutional networks for multi-organ segmentation
HR Roth, H Oda, Y Hayashi, M Oda, N Shimizu, M Fujiwara, K Misawa, ...
arXiv preprint arXiv:1704.06382, 2017
762017
Deep learning and its application to medical image segmentation
HR Roth, C Shen, H Oda, M Oda, Y Hayashi, K Misawa, K Mori
Medical Imaging Technology 36 (2), 63-71, 2018
452018
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks
H Roth, M Oda, N Shimizu, H Oda, Y Hayashi, T Kitasaka, M Fujiwara, ...
Medical Imaging 2018: Image Processing 10574, 105740B, 2018
292018
Unsupervised segmentation of 3D medical images based on clustering and deep representation learning
T Moriya, HR Roth, S Nakamura, H Oda, K Nagara, M Oda, K Mori
Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018
282018
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
HR Roth, C Shen, H Oda, T Sugino, M Oda, Y Hayashi, K Misawa, K Mori
International Conference on Medical Image Computing and Computer-Assisted …, 2018
272018
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
C Shen, HR Roth, H Oda, M Oda, Y Hayashi, K Misawa, K Mori
arXiv preprint arXiv:1801.05912, 2018
252018
BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images
H Oda, HR Roth, K Chiba, J Sokolić, T Kitasaka, M Oda, A Hinoki, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
212018
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network
S Chen, H Roth, S Dorn, M May, A Cavallaro, MM Lell, M Kachelrieß, ...
arXiv preprint arXiv:1710.05379, 2017
212017
Unsupervised pathology image segmentation using representation learning with spherical k-means
T Moriya, HR Roth, S Nakamura, H Oda, K Nagara, M Oda, K Mori
Medical Imaging 2018: Digital Pathology 10581, 1058111, 2018
102018
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images
H Oda, HR Roth, KK Bhatia, M Oda, T Kitasaka, S Iwano, H Homma, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 1057502, 2018
82018
Lung segmentation based on a deep learning approach for dynamic chest radiography
Y Kitahara, R Tanaka, HR Roth, H Oda, K Mori, K Kasahara, I Matsumoto
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109503M, 2019
62019
Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis
H Oda, KK Bhatia, M Oda, T Kitasaka, S Iwano, H Homma, H Takabatake, ...
Journal of Medical Imaging 4 (4), 044502, 2017
62017
Micro-CT Guided 3D Reconstruction of Histological Images
K Nagara, HR Roth, S Nakamura, H Oda, T Moriya, M Oda, K Mori
International Workshop on Patch-based Techniques in Medical Imaging, 93-101, 2017
52017
Cascade Registration of Micro CT Volumes taken in Multiple Resolutions
K Nagara, H Oda, S Nakamura, M Oda, H Homma, H Takabatake, M Mori, ...
7th International Conference on Medical Imaging and Augmented Reality, 2016
32016
Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes
H Oda, KK Bhatia, M Oda, T Kitasaka, S Iwano, H Homma, H Takabatake, ...
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101341D, 2017
22017
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology
HR Roth, K Nagara, H Oda, M Oda, T Sugiyama, S Nakamura, K Mori
arXiv preprint arXiv:1702.08155, 2017
22017
Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from ct volumes
H Oda, Y Nimura, M Oda, T Kitasaka, S Iwano, H Honma, H Takabatake, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97850E, 2016
22016
Cardiac fiber tracking on super high-resolution CT images: a comparative study
KM Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko ...
Journal of Medical Imaging 7 (2), 026001, 2020
12020
Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT
H Oda, HR Roth, T Sugino, N Sunaguchi, N Usami, M Oda, D Shimao, ...
Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019
12019
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Artikelen 1–20