Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Kohei Murao

Kohei Murao

MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Jul 24, 2020
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltan Adam Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shinichi Satoh

Figure 1 for MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Figure 2 for MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Figure 3 for MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Figure 4 for MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

* 21 pages, 11 figures, submitted to BMC Bioinformatics. arXiv admin note: substantial text overlap with arXiv:1906.06114

Access Paper or Ask Questions

Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems

Jan 12, 2020
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama, Shin'ichi Satoh

Figure 1 for Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems

Figure 2 for Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems

* 10 pages, 1 figure, submitted to CARS 2020

Access Paper or Ask Questions

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

Jul 08, 2019
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh

Figure 1 for GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis

Figure 2 for GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis

Figure 3 for GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis

Figure 4 for GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis

* 7 pages, 4 figures, accepted to CIBB 2019

Access Paper or Ask Questions

Learning More with Less: GAN-based Medical Image Augmentation

May 07, 2019
Changhee Han, Kohei Murao, Shin'ichi Satoh, Hideki Nakayama

Figure 1 for Learning More with Less: GAN-based Medical Image Augmentation

Figure 2 for Learning More with Less: GAN-based Medical Image Augmentation

Figure 3 for Learning More with Less: GAN-based Medical Image Augmentation

* 6 pages, 2 figures, Accepted to MEDICAL IMAGING TECHNOLOGY Special Issue

Access Paper or Ask Questions

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

Mar 03, 2019
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh

Figure 1 for Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images

Figure 2 for Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images

Figure 3 for Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images

Figure 4 for Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images

* 8 pages, 7 figures, submitted to IJCAI 2019

Access Paper or Ask Questions