Kohei Murao

According to our database, Kohei Murao authored at least 7 papers between 2019 and 2021.

Collaborative distances:

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

2021

Classification of large-scale image database of various skin diseases using deep learning.

Masaya Tanaka, Atsushi Saito, Kosuke Shido, Yasuhiro Fujisawa, Kenshi Yamasaki, Manabu Fujimoto, Kohei Murao, Youichirou Ninomiya, Shin'ichi Satoh, Akinobu Shimizu

Int. J. Comput. Assist. Radiol. Surg., 2021

MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction.

Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh

BMC Bioinform., 2021

2020

Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems.

Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019

GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis.

Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh

CoRR, 2019

Learning More with Less: GAN-based Medical Image Augmentation.

Changhee Han, Kohei Murao, Shin'ichi Satoh, Hideki Nakayama

CoRR, 2019

Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images.

Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis.

Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019