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Takamichi Murakami
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Journal Articles
- 2023
- [j4]Mizuho Nishio, Eiji Ota, Hidetoshi Matsuo, Takaaki Matsunaga, Aki Miyazaki, Takamichi Murakami:
Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance. PeerJ Comput. Sci. 9: e1620 (2023) - 2019
- [j3]Mika Yamamuro, Yoshiyuki Asai, Koji Yamada, Yoshiaki Ozaki, Masao Matsumoto, Takamichi Murakami:
Prediction of glandularity and breast radiation dose from mammography results in Japanese women. Medical Biol. Eng. Comput. 57(1): 289-298 (2019) - 2003
- [j2]Jun Masumoto, Yoshinobu Sato, Masatoshi Hori, Takamichi Murakami, Takeshi Johkoh, Hironobu Nakamura, Shinichi Tamura:
A similarity measure for nonrigid volume registration using known joint distribution of targeted tissue: Application to dynamic CT data of the liver. Medical Image Anal. 7(4): 553-564 (2003) - [j1]Jun Masumoto, Masatoshi Hori, Yoshinobu Sato, Takamichi Murakami, Takeshi Johkoh, Hironobu Nakamura, Shinichi Tamura:
Automated liver segmentation using multislice CT images. Syst. Comput. Jpn. 34(9): 71-82 (2003)
Conference and Workshop Papers
- 2016
- [c2]Mika Yamamuro, Kanako Yamada, Yoshiyuki Asai, Koji Yamada, Yoshiaki Ozaki, Masao Matsumoto, Takamichi Murakami:
Accurate Quantification of Glandularity and Its Applications with Regard to Breast Radiation Doses and Missed Lesion Rates During Individualized Screening Mammography. Digital Mammography / IWDM 2016: 377-384 - 2002
- [c1]Jun Masumoto, Yoshinobu Sato, Masatoshi Hori, Takamichi Murakami, Takeshi Johkoh, Hironobu Nakamura, Shinichi Tamura:
A New Similarity Measure for Nonrigid Volume Registration Using Known Joint Distribution of Target Tissue: Application to Dynamic CT Data of the Liver. MICCAI (2) 2002: 493-500
Informal and Other Publications
- 2024
- [i4]Hidetoshi Matsuo, Mizuho Nishio, Takaaki Matsunaga, Koji Fujimoto, Takamichi Murakami:
Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging. CoRR abs/2406.06591 (2024) - 2023
- [i3]Takaaki Matsunaga, Atsushi K. Kono, Hidetoshi Matsuo, Kaoru Kitagawa, Mizuho Nishio, Hiromi Hashimura, Yu Izawa, Takayoshi Toba, Kazuki Ishikawa, Akie Katsuki, Kazuyuki Ohmura, Takamichi Murakami:
Development of pericardial fat count images using a combination of three different deep-learning models. CoRR abs/2307.12316 (2023) - 2021
- [i2]Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, Feibi Zeng, Takako Kurimoto, Sandeep Kaushik, Florian Wiesinger, Atsushi K. Kono, Takamichi Murakami:
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks. CoRR abs/2106.08557 (2021) - 2020
- [i1]Mizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo, Takamichi Murakami:
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods. CoRR abs/2006.00730 (2020)
Coauthor Index
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