• L. Rundo, C. Militello, V. Conti, F. Zaccagna, C. Han, Advanced Computational Methods for Oncological Image Analysis, Journal of Imaging (impact factor: 3.8), November 2021.
   *editorial
• E. C. de Farias, C. Di Noia, C. Han, E. Sala, M. Castelli, L. Rundo, Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features, Scientific Reports (impact factor: 4.4), November 2021.
• C. Han, L. Rundo, K. Murao, T. Noguchi, Y. Shimahara, Z. Á. Milacski, S. Koshino, E. Sala, H. Nakayama, S. Satoh, MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction, BMC Bioinformatics (impact factor: 3.2), April 2021.
• C. Han, L. Rundo, R. Araki, Y. Nagano, Y. Furukawa, G. Mauri, H. Nakayama, H. Hayashi, Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection, IEEE Access (impact factor: 4.098), October 2019.
• C. Han*, L. Rundo*, Y. Nagano, J. Zhang, R. Hataya, C. Militello, A. Tangherloni, M. S. Nobile, C. Ferretti, D. Besozzi, M. C. Gilardi, S. Vitabile, G. Mauri, H. Nakayama, P. Cazzaniga, USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets, Neurocomputing (Impact Factor: 4.072), July 2019.
  * denotes Co-first Authors

• C. Han, L. Rundo, R. Araki, Y. Furukawa, G. Mauri, H. Nakayama, H. Hayashi, Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection, In A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero (eds.) Neural Approaches to Dynamics of Signal Exchanges, Springer, September 2019. 
• L. Rundo, C. Han, J. Zhang, R. Hataya, Y. Nagano, C. Militello, C. Ferretti, M.S. Nobile, A. Tangherloni, M.C. Gilardi, S. Vitabile, H. Nakayama, G. Mauri, CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study, In A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero (eds.) Neural Approaches to Dynamics of Signal Exchanges, Springer, September 2019.  
• C. Han, K. Tsuge, H. Iba, Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology, In S. Patnaik, X. Yang, and K. Nakamatsu (eds.) Nature Inspired Computing and Optimization: Theory and Applications, Springer, March 2017.

• S. Nakazawa, C. Han, J. Hasei, R. Nakahara, T. Ozaki, BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images, In SPIE Medical Imaging, San Diego, The United States, February 2022.
• C. Han, L. Rundo, K. Murao, T. Nemoto, H. Nakayama, Bridging the Gap between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems, In International Conference on Artificial Intelligence Applications and Innovations (AIAI), Halkidiki, Greece, June 2020.
• K. Murao, Y. Ninomiya, C. Han, K. Aida, S. Satoh, Cloud platform for deep learning-based CAD via collaboration between Japanese medical societies and institutes of informatics, In SPIE Medical Imaging, Houston, The United States, February 2020.
• C. Han, K. Murao, T. Noguchi, Y. Kawata, F. Uchiyama, L. Rundo, H. Nakayama, S. Satoh, Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images, In ACM International Conference on Information and Knowledge Management (CIKM, acceptance rate: ~19%), Beijing, China, November 2019.
• C. Han, L. Rundo, K. Murao, Z. Á. Milacski, K. Umemoto, H. Nakayama, S. Satoh, GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis, In Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB), Bergamo, Italy, September 2019.
• C. Han, K. Tsuge, H. Iba, Optimization of Artificial Operon Construction by Consultation Algorithms Utilizing LCS, In IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, July 2016.

• A. Fukuda, C. Han, K. Hakamada, Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans, In IEEE International Conference on Image Processing (ICIP), Anchorage, The United States, August 2021.
• R. Kuwabara, C. Han, K. Murao, S. Satoh, BERT-based few-shot learning for automatic anomaly classification from Japanese multi-institutional CT scan reports, In Computer Assisted Radiology and Surgery (CARS), Munich, Germany, June 2020.
• C. Han, Y. Kitamura, A. Kudo, A. Ichinose, L. Rundo, Y. Furukawa, K. Umemoto, H. Nakayama, Y. Li, Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection, In International Conference on 3D Vision (3DV), Québec City, Canada, September 2019.
• C. Han, H. Hayashi, L. Rundo, R. Araki, Y. Furukawa, W. Shimoda, S. Muramatsu, G. Mauri, H. Nakayama, GAN-based Synthetic Brain MR Image Generation, In IEEE International Symposium on Biomedical Imaging (ISBI), Washington, D.C., The United States, April 2018.

• C. Han, T. Okamoto, K. Takeuchi, D. Katsios, A. Grushnikov, M. Kobayashi, A. Choppin, Y. Kurashina, Y. Shimahara, Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey, Medical Imaging and Information Sciences, April 2021.
• C. Han, K. Murao, S. Satoh, H. Nakayama, Learning More with Less: GAN-based Medical Image Augmentation, Medical Imaging Technology, Japanese Society of Medical Imaging Technology, June 2019.

Currently no

• Reviewer, Medical Image Analysis
• Reviewer, IEEE Transactions on Medical Imaging
• Reviewer, Lecture Notes in Bioinformatics (LNBI)
• Reviewer, Fire Technology
• Reviewer, IEEE Access
• Reviewer, INFORMS Journal on Computing
• Editor, Journal of Imaging
• Track Chair, Session: Machine Learning and Computational Intelligence in multi-omics and medical image analysis, Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB), Bergamo, Italy, September 2019.

• C. Han, F. Gesser, Z.Á. Milacski, L. Rundo, H. Nakayama, RNN-based Unsupervised Anomaly Detection for Alzheimer's Disease Diagnosis Using Multiple MR Image Interpolation, In International Summer School on Deep Learning (DeepLearn), Genoa, Italy, July 2018. 
• L. Rundo, C. Han, J. Zhang, R. Hataya, Y. Nagano, C. Militello, C. Ferretti, M.S. Nobile, A. Tangherloni, M.C. Gilardi, S. Vitabile, H. Nakayama, G. Mauri, CNN-based Prostate Zonal Segmentation on MR Images: A Multi-centric Study, In International Summer School on Deep Learning (DeepLearn), Genoa, Italy, July 2018. 
• C. Han, L. Rundo, R. Araki, Y. Furukawa, G. Mauri, H. Nakayama, H. Hayashi, Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection, In The Italian Workshop on Neural Networks (WIRN), Vietri sul Mare, Italy, June 2018.
• L. Rundo, C. Han, J. Zhang, R. Hataya, Y. Nagano, C. Militello, C. Ferretti, M.S. Nobile, A. Tangherloni, M.C. Gilardi, S. Vitabile, H. Nakayama, G. Mauri, CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study, In The Italian Workshop on Neural Networks (WIRN), Vietri sul Mare, Italy, June 2018.

• C. Han, H. Hayashi, L. Rundo, R. Araki, Y. Nagano, Y. Furukawa, G. Mauri, H. Nakayama, Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection, In International Computer Vision Summer School (ICVSS), Sicily, Italy, July 2018.
• C. Han, F. Gesser, Z.Á. Milacski, Tomographic Slice Reconstruction by U-Net, In Vision and Sports Summer School (VS3), Prague, Czech Republic, August 2016.
• C. Han, F. Navarro, F. Achiles, Tomographic Slice Reconstruction by Convolutional Neural Network, In Medical Imaging Summer School (MISS) Sicily, Italy, August 2016.

• 2020.05 IPSJ Computer Vision and Image Media (CVIM) Best Research Award
• 2019.09 International Conference on 3D Vision (3DV) Student Travel Grant (grant: $CAD 500)
• 2019.08 University of Tokyo AI Solutions Global Competition 2019 Winner (prize: the right to attend SU Global Summit 2020 including flight tickets and accommodation)
• 2019.08 Meeting on Image Recognition and Understanding (MIRU) Student Research Encouragement Award
• 2019.05 Symposium on Medical Imaging Best Research Award
• 2018.12 GCL Mini-Presentation Competition Winner (prize: 0.1M Yen)
• 2017.08 Meeting on Image Recognition and Understanding (MIRU) Best Research Plan Award (Team Leader, prize: GPUs worth 1M Yen)
• 2016.08 Vision and Sports Summer School (VS3) Best Poster Award

• 2019.10-2020.03 Individual Project in Graduate Program for Social ICT Global Creative Leaders
• 2017.12-2018.03 Individual Project in Graduate Program for Social ICT Global Creative Leaders
• 2017.06-2018.03 Team Project in Graduate Program for Social ICT Global Creative Leaders (Team Leader)
• 2015.10-2016.03 Individual Project in Graduate Program for Social ICT Global Creative Leaders
• 2015.04-2020.03 Graduate Program for Social ICT Global Creative Leaders
• 2010.03-2015.03 Japan-Korea Joint Government Scholarship Program for the Students in Science and Engineering Departments

• Japanese: Native
• Korean: Native
• English: Advanced (TOEIC: 985/990)
• Programming: Python (Modules: NumPy, TensorFlow, Keras)