Mizuho Nishio

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Automatic Segmentation

Top Venues

Comput. Biol. Medicine

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

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 (2024)
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 (2023)
Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer
Boosting Radiology Report Generation by Infusing Comparison Prior. CoRR (2023)
Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer
Boosting Radiology Report Generation by Infusing Comparison Prior. BioNLP@ACL (2023)
Amos Calamida, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Michael Krauthammer
Radiology-Aware Model-Based Evaluation Metric for Report Generation. CoRR (2023)
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 (2023)
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 (2021)
Mizuho Nishio, Koji Fujimoto, Hidetoshi Matsuo, Chisako Muramatsu, Ryo Sakamoto, Hiroshi Fujita
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. Frontiers Artif. Intell. 4 (2021)
Mizuho Nishio, Koji Fujimoto, Kaori Togashi
Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning. Int. J. Imaging Syst. Technol. 31 (2) (2021)
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 (2020)
Mizuho Nishio, Chisako Muramatsu, Shunjiro Noguchi, Hirotsugu Nakai, Koji Fujimoto, Ryo Sakamoto, Hiroshi Fujita
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. Comput. Biol. Medicine 126 (2020)
Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. Comput. Methods Programs Biomed. 196 (2020)
Chisako Muramatsu, Mizuho Nishio, Takuma Goto, Mikinao Oiwa, Takako Morita, Masahiro Yakami, Takeshi Kubo, Kaori Togashi, Hiroshi Fujita
Improving breast mass classification by shared data with domain transformation using a generative adversarial network. Comput. Biol. Medicine 119 (2020)
Shunjiro Noguchi, Mizuho Nishio, Masahiro Yakami, Keita Nakagomi, Kaori Togashi
Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques. Comput. Biol. Medicine 121 (2020)
Toru Tanaka, Ryo Ishikawa, Keita Nakagomi, Kazuhiro Miyasa, Kiyohide Satoh, Masahiro Yakami, Thai Akasaka, Koji Onoue, Takeshi Kubo, Mizuho Nishio, Yutaka Emoto, Kaori Togashi
Adaptive Voxel Matching for Temporal CT Subtraction. J. Digit. Imaging 33 (6) (2020)
Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. CoRR (2020)
Koji Shimizu, Gakuto Aoyama, Mizuho Nishio, Masahiro Yakami, Takeshi Kubo, Yutaka Emoto, Tatsuya Ito, Tomohiro Kuroda, Hiroyoshi Isoda
A case study regarding clinical performance evaluation method of medical device software for approval. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Yasuhisa Kurata, Mizuho Nishio, Aki Kido, Koji Fujimoto, Masahiro Yakami, Hiroyoshi Isoda, Kaori Togashi
Automatic segmentation of the uterus on MRI using a convolutional neural network. Comput. Biol. Medicine 114 (2019)
Mizuho Nishio, Koji Fujimoto, Kaori Togashi
Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning. CoRR (2019)
Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama, Ryosuke Kojima, Masahiro Yakami, Tomohiro Kuroda, Kaori Togashi
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. CoRR (2017)
Mizuho Nishio, Atsushi K. Kono, Hisanobu Koyama, Tatsuya Nishii, Kazuro Sugimura
Tumor segmentation on FDG-PET: usefulness of locally connected conditional random fields. Medical Imaging: Image Processing (2015)