Changhee Han
Changhee Han
Ph.D. in Computer Science
Verified email at - Homepage
Cited by
Cited by
GAN-based synthetic brain MR image generation
C Han, H Hayashi, L Rundo, R Araki, W Shimoda, S Muramatsu, ...
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L Rundo*, C Han*, Y Nagano, J Zhang, R Hataya, C Militello, ...
Neurocomputing 365, 31-43, 2019
Combining noise-to-image and image-to-image GANs: Brain MR image augmentation for tumor detection
C Han, L Rundo, R Araki, Y Nagano, Y Furukawa, G Mauri, H Nakayama, ...
IEEE Access, 2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images
C Han, K Murao, T Noguchi, Y Kawata, F Uchiyama, L Rundo, ...
ACM International Conference on Information and Knowledge Management (CIKM), 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
C Han, Y Kitamura, A Kudo, A Ichinose, L Rundo, Y Furukawa, ...
International Conference on 3D Vision (3DV), 2019
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
C Han, L Rundo, R Araki, Y Furukawa, G Mauri, H Nakayama, H Hayashi
Neural Approaches to Dynamics of Signal Exchanges, 2019
MADGAN: Unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
C Han, L Rundo, K Murao, T Noguchi, Y Shimahara, ZÁ Milacski, ...
BMC bioinformatics 22 (2), 1-20, 2021
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
L Rundo, C Han, J Zhang, R Hataya, Y Nagano, C Militello, C Ferretti, ...
Neural Approaches to Dynamics of Signal Exchanges, 2019
Bridging the gap between AI and healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
C Han, L Rundo, K Murao, T Nemoto, H Nakayama
IFIP International Conference on Artificial Intelligence Applications and …, 2020
Neural approaches to dynamics of signal exchanges
L Rundo, C Han, J Zhang, R Hataya, Y Nagano, C Militello, C Ferretti, ...
Springer, 2020
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis
C Han, L Rundo, K Murao, ZÁ Milacski, K Umemoto, H Nakayama, ...
Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB), 2019
Infinite Brain Tumor Images: Can GAN-based Data Augmentation Improve Tumor Detection on MR Images?
C Han, L Rundo, R Araki, Y Furukawa, G Mauri, H Nakayama, H Hayashi
The 21st Meeting on Image Recognition and Understanding (MIRU), 2018
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features
EC de Farias, C Di Noia, C Han, E Sala, M Castelli, L Rundo
Scientific reports 11 (1), 1-12, 2021
Learning More with Less: GAN-based Medical Image Augmentation
C Han, K Murao, H NAKAYAMA
Medical Imaging Technology 37 (3), 137-142, 2019
Prostate Zonal Segmentation Using Deep Learning
C Han, J Zhang, R Hataya, Y Nagano, H Nakayama, L Rundo
Symposium on Medical Imaging (MI), 2018
BAPGAN: GAN-based bone age progression of femur and phalange x-ray images
S Nakazawa, C Han, J Hasei, Y Nakahara, T Ozaki
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 331-337, 2022
Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
C Han
arXiv preprint arXiv:2106.01915, 2021
Cloud platform for deep learning-based CAD via collaboration between Japanese medical societies and institutes of informatics
K Murao, Y Ninomiya, C Han, K Aida, S Satoh
Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020
CNN-based MRI Regression Using U-Net
Advanced Computational Methods for Oncological Image Analysis
L Rundo, C Militello, V Conti, F Zaccagna, C Han
Journal of Imaging 7 (11), 237, 2021
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