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Changhee Han

Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation


Jun 03, 2021
Changhee Han

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* Ph.D. Thesis (The University of Tokyo) defended in February, 2020. Based on GAN-based synthetic brain MR image generation (ISBI 2018), arXiv:1902.09856, arXiv:1903.12564, arXiv:1905.13456, arXiv:1906.04962, arXiv:2001.03923 
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Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans


Jun 03, 2021
Akihiro Fukuda, Changhee Han, Kazumi Hakamada

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* 5 pages, 5 figures, accepted to ICIP 2021 
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Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey


Jun 02, 2021
Changhee Han, Takayuki Okamoto, Koichi Takeuchi, Dimitris Katsios, Andrey Grushnikov, Masaaki Kobayashi, Antoine Choppin, Yutaka Kurashina, Yuki Shimahara

* 7 pages, 2 figures, to be published in Japanese Journal of Medical Imaging and Information Sciences 
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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

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

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* 10 pages, 1 figure, submitted to CARS 2020 
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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

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* 7 pages, 4 figures, accepted to CIBB 2019 
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Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection


Jun 12, 2019
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li

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* 9 pages, 6 figures, submitted to 3DV 2019 
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Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection


May 31, 2019
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

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* 9 pages, 7 figures, submitted to IEEE ACCESS 
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Learning More with Less: GAN-based Medical Image Augmentation


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

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* 6 pages, 2 figures, Accepted to MEDICAL IMAGING TECHNOLOGY Special Issue 
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USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets


Apr 17, 2019
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga

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* 44 pages, 6 figures, co-first authors: Leonardo Rundo and Changhee Han, submitted to Neurocomputing with the first submission: July 31, 2018 and revised version R1 submission (current version): April 15, 2019 
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CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study


Mar 29, 2019
Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri

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* 12 pages, 3 figures, Accepted to Neural Approaches to Dynamics of Signal Exchanges as a Springer book chapter 
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Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection


Mar 29, 2019
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

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* 13 pages, 6 figures, Accepted to Neural Approaches to Dynamics of Signal Exchanges as a Springer book chapter 
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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

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* 8 pages, 7 figures, submitted to IJCAI 2019 
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