Hidetoshi Matsuo

According to our database, Hidetoshi Matsuo authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

RadVLM: A Multitask Conversational Vision-Language Model for Radiology.

Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruipérez-Campillo, Moritz Vandenhirtz, Sonia Laguna, Alain Ryser, Koji Fujimoto, Mizuho Nishio, Thomas M. Sutter, Julia E. Vogt, Jonas Kluckert, Thomas Frauenfelder, Christian Blüthgen, Farhad Nooralahzadeh, Michael Krauthammer

CoRR, February, 2025

2024

Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging.

Hidetoshi Matsuo, Mizuho Nishio, Takaaki Matsunaga, Koji Fujimoto, Takamichi Murakami

CoRR, 2024

Automatic Structuring of Radiology Reports of Chest X-Ray Images Using Large Language Model.

Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

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

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

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

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