Mizuho Nishio

According to our database, Mizuho Nishio authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance.

Mizuho Nishio, Eiji Ota, Hidetoshi Matsuo, Takaaki Matsunaga, Aki Miyazaki, Takamichi Murakami

PeerJ Comput. Sci., 2023

Radiology-Aware Model-Based Evaluation Metric for Report Generation.

Amos Calamida, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Michael Krauthammer

CoRR, 2023

Development of pericardial fat count images using a combination of three different deep-learning models.

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

CoRR, 2023

Boosting Radiology Report Generation by Infusing Comparison Prior.

Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2021

Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning.

Mizuho Nishio, Koji Fujimoto, Kaori Togashi

Int. J. Imaging Syst. Technol., 2021

Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network.

Mizuho Nishio, Koji Fujimoto, Hidetoshi Matsuo, Chisako Muramatsu, Ryo Sakamoto, Hiroshi Fujita

Frontiers Artif. Intell., 2021

Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks.

Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, Feibi Zeng, Takako Kurimoto, Sandeep Kaushik, Florian Wiesinger, Atsushi K. Kono, Takamichi Murakami

CoRR, 2021

2020

Adaptive Voxel Matching for Temporal CT Subtraction.

Toru Tanaka, Ryo Ishikawa, Keita Nakagomi, Kazuhiro Miyasa, Kiyohide Satoh, Masahiro Yakami, Thai Akasaka, Koji Onoue, Takeshi Kubo, Mizuho Nishio, Yutaka Emoto, Kaori Togashi

J. Digit. Imaging, 2020

Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods.

Mizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo, Takamichi Murakami

CoRR, 2020

Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model.

Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh

Comput. Methods Programs Biomed., 2020

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques.

Shunjiro Noguchi, Mizuho Nishio, Masahiro Yakami, Keita Nakagomi, Kaori Togashi

Comput. Biol. Medicine, 2020

Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network.

Mizuho Nishio, Chisako Muramatsu, Shunjiro Noguchi, Hirotsugu Nakai, Koji Fujimoto, Ryo Sakamoto, Hiroshi Fujita

Comput. Biol. Medicine, 2020

Improving breast mass classification by shared data with domain transformation using a generative adversarial network.

Chisako Muramatsu, Mizuho Nishio, Takuma Goto, Mikinao Oiwa, Takako Morita, Masahiro Yakami, Takeshi Kubo, Kaori Togashi, Hiroshi Fujita

Comput. Biol. Medicine, 2020

2019

Automatic segmentation of the uterus on MRI using a convolutional neural network.

Yasuhisa Kurata, Mizuho Nishio, Aki Kido, Koji Fujimoto, Masahiro Yakami, Hiroyoshi Isoda, Kaori Togashi

Comput. Biol. Medicine, 2019

A case study regarding clinical performance evaluation method of medical device software for approval.

Koji Shimizu, Gakuto Aoyama, Mizuho Nishio, Masahiro Yakami, Takeshi Kubo, Yutaka Emoto, Tatsuya Ito, Tomohiro Kuroda, Hiroyoshi Isoda

Proceedings of the Medical Imaging 2019: Image Perception, 2019

2017

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.

Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama, Ryosuke Kojima, Masahiro Yakami, Tomohiro Kuroda, Kaori Togashi

CoRR, 2017

2015

Tumor segmentation on FDG-PET: usefulness of locally connected conditional random fields.

Mizuho Nishio, Atsushi K. Kono, Hisanobu Koyama, Tatsuya Nishii, Kazuro Sugimura

Proceedings of the Medical Imaging 2015: Image Processing, 2015