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Changhee Han
Changhee Han
CEO of Callisto (カリスト株式会社)
Geverifieerd e-mailadres voor callisto-ai.com - Homepage
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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
3752018
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
2372019
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
1952019
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, 1-20, 2021
1632021
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
1332019
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
1232019
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
1012019
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
412019
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
Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020
362020
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), 21361, 2021
292021
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
192019
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
92018
Learning More with Less: GAN-based Medical Image Augmentation
C Han, K Murao, H NAKAYAMA
Medical Imaging Technology 37 (3), 137-142, 2019
72019
Pathology-aware generative adversarial networks for medical image augmentation
C Han
arXiv preprint arXiv:2106.01915, 2021
42021
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
42020
Prostate Zonal Segmentation Using Deep Learning
C Han, J Zhang, R Hataya, Y Nagano, H Nakayama, L Rundo
Symposium on Medical Imaging (MI), 2018
32018
BAPGAN: GAN-based bone age progression of femur and phalange x-ray images
S Nakazawa, C Han, J Hasei, R Nakahara, T Ozaki
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 345-351, 2022
22022
Advanced computational methods for oncological image analysis
L Rundo, C Militello, V Conti, F Zaccagna, C Han
Journal of Imaging 7 (11), 237, 2021
22021
Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans
A Fukuda, C Han, K Hakamada
IEEE International Conference on Image Processing (ICIP), 2021
12021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
C Han, T Okamoto, K Takeuchi, D Katsios, A Grushnikov, M Kobayashi, ...
arXiv preprint arXiv:2106.00997, 2021
12021
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