Prof. Masahiro Hashimoto Profile

Prof. Masahiro Hashimoto

at Keio Univ

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Lung infection and normal region segmentation from CT volumes of COVID-19 cases

Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori

Proc. SPIE. 11597, Medical Imaging 2021: Computer-Aided Diagnosis

KEYWORDS: Chest, Image segmentation, Computing systems, Diagnostics, Lung, Quantitative analysis

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning

Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Itoh, Takeyuki Watadani, Osamu Abe, Masahiro Hashimoto, Masahiro Jinzaki, Kensaku Mori

Proc. SPIE. 11597, Medical Imaging 2021: Computer-Aided Diagnosis

KEYWORDS: Data modeling, Computed tomography, Performance modeling

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning

Tong Zheng, Masahiro Oda, Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori

Proc. SPIE. 11596, Medical Imaging 2021: Image Processing

KEYWORDS: Chest, Tissues, Opacity, Image segmentation, Glasses, Arteries, Lung, Computed tomography, Spherical lenses

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks

Yuichiro Hayashi, Masahiro Oda, Chen Shen, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Kensaku Mori

Proc. SPIE. 11597, Medical Imaging 2021: Computer-Aided Diagnosis

KEYWORDS: Computer aided diagnosis and therapy, Data modeling, Image segmentation, 3D modeling, Lung, Medical imaging, Computed tomography, CAD systems, Solid modeling

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Proceedings Article | 16 March 2020 Paper

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset

Yuichiro Hayashi, Chen Shen, Holger Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako Kumamaru, Shigeki Aoki, Kensaku Mori

Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis

KEYWORDS: Veins, Liver, Data modeling, Image segmentation, Arteries, 3D modeling, Medical imaging, Computed tomography, Stomach

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