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Masahiro Hashimoto
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2020 – today
- 2023
- [j6]Yusuke Takateyama, Takahito Haruishi, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Akinobu Shimizu:
Attention induction for a CT volume classification of COVID-19. Int. J. Comput. Assist. Radiol. Surg. 18(2): 289-301 (2023) - [c14]Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer. Medical Imaging: Computer-Aided Diagnosis 2023 - [c13]Ryo Toda, Masahiro Oda
, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks. Medical Imaging: Computer-Aided Diagnosis 2023 - [i4]Ryo Toda, Hayato Itoh, Masahiro Oda
, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping. CoRR abs/2303.14901 (2023) - 2022
- [c12]Masahiro Oda
, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes. Medical Imaging: Computer-Aided Diagnosis 2022 - [i3]Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori:
Lung infection and normal region segmentation from CT volumes of COVID-19 cases. CoRR abs/2201.03050 (2022) - [i2]Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. CoRR abs/2201.03053 (2022) - 2021
- [c11]Masahiro Oda
, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 88-97 - [c10]Yuichiro Hayashi, Masahiro Oda
, Chen Shen, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Kensaku Mori:
Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks. Medical Imaging: Computer-Aided Diagnosis 2021 - [c9]Zhongyang Lu, Masahiro Oda
, Yuichiro Hayashi, Tao Hu, Hayato Itoh, Takeyuki Watadani, Osamu Abe, Masahiro Hashimoto, Masahiro Jinzaki, Kensaku Mori:
Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning. Medical Imaging: Computer-Aided Diagnosis 2021 - [c8]Masahiro Oda
, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Kensaku Mori:
Lung infection and normal region segmentation from CT volumes of COVID-19 cases. Medical Imaging: Computer-Aided Diagnosis 2021 - [c7]Tong Zheng, Masahiro Oda
, Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning. Medical Imaging: Image Processing 2021 - 2020
- [c6]Tomu Yanabe, Hiroaki Nishi
, Masahiro Hashimoto:
Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems. ETFA 2020: 952-958 - [c5]Masahiro Hashimoto, Ryo Morishima, Hiroaki Nishi
:
Low-Information-Loss Anonymization of Trajectory Data Considering Map Information. ISIE 2020: 499-504 - [c4]Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda
, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori:
Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [i1]Hasnine Haque, Masahiro Hashimoto, Nozomu Uetake, Masahiro Jinzaki:
Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets. CoRR abs/1911.09249 (2019) - 2010
- [j5]Masahiro Hashimoto:
"The Center of Scattering"-Where is the Center of a Polygonal Cylinder for Electromagnetic Scattering ?-. IEICE Trans. Electron. 93-C(1): 74-76 (2010)
2000 – 2009
- 2009
- [j4]Masahiro Hashimoto:
Some Remarks on the Extension of Numerical Data to the Complex Space for Radiation Patterns in Electromagnetic Scattering Problems. IEICE Trans. Electron. 92-C(1): 109-111 (2009) - 2008
- [j3]Hitoshi Iyatomi, Hiroshi Oka, M. Emre Celebi
, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa
:
An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput. Medical Imaging Graph. 32(7): 566-579 (2008) - 2005
- [c3]Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa:
An Internet-based Melanoma Diagnostic System - Toward the Practical Application. CIBCB 2005: 443-446
1990 – 1999
- 1995
- [j2]Masahiro Hashimoto, Yoshinori Sakai, Hirotsugu Kinoshita:
An object extraction method using sampled active contour model. Syst. Comput. Jpn. 26(13): 66-74 (1995) - 1994
- [c2]Masahiro Hashimoto, Hideaki Seki:
Limitations of lip-reading advantage by desynchronizing visual and auditory information in speech. ICSLP 1994: 1155-1158 - 1991
- [c1]Hidekazu Terai, Fumio Goto, Katsuro Wakai, Tokinori Kozawa, Mitsugu Edagawa, Satoshi Hososaka, Masahiro Hashimoto:
Basic Concepts of Timing-oriented Design Automation for High-performance Mainframe Computers. DAC 1991: 193-198
1970 – 1979
- 1970
- [j1]Masahiro Hashimoto:
A Method for Solving Large Matrix Equations Reduced From Fredholm Integral Equations of the Second Kind. J. ACM 17(4): 629-636 (1970)
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