| 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 | 328 | 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 | 212 | 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 | 177 | 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 | 129 | 2021 |
| 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 | 119 | 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 | 106 | 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 | 97 | 2019 |
| 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 | 39 | 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 Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020 | 24 | 2020 |
| 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 | 18 | 2021 |
| 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 | 16 | 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 | 9 | 2018 |
| Learning More with Less: GAN-based Medical Image Augmentation C Han, K Murao, H NAKAYAMA Medical Imaging Technology 37 (3), 137-142, 2019 | 7 | 2019 |
| Pathology-aware generative adversarial networks for medical image augmentation C Han arXiv preprint arXiv:2106.01915, 2021 | 3 | 2021 |
| Prostate Zonal Segmentation Using Deep Learning C Han, J Zhang, R Hataya, Y Nagano, H Nakayama, L Rundo Symposium on Medical Imaging (MI), 2018 | 3 | 2018 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| Advanced Computational Methods for Oncological Image Analysis L Rundo, C Militello, V Conti, F Zaccagna, C Han Journal of Imaging 7 (11), 237, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
Leonardo RundoTenure-Track Assistant Professor, University of SalernoVerified email at unisa.it
