| Soft-label anonymous gastric x-ray image distillation G Li, R Togo, T Ogawa, M Haseyama Proceedings of the IEEE International Conference on Image Processing (ICIP …, 2020 | 56 | 2020 |
| Compressed gastric image generation based on soft-label dataset distillation for medical data sharing G Li, R Togo, T Ogawa, M Haseyama Computer Methods and Programs in Biomedicine (CMPB) 227, 107189, 2022 | 42 | 2022 |
| Self-knowledge distillation based self-supervised learning for covid-19 detection from chest x-ray images G Li, R Togo, T Ogawa, M Haseyama Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2022 | 28 | 2022 |
| Dataset distillation for medical dataset sharing G Li, R Togo, T Ogawa, M Haseyama Proceedings of the AAAI Conference on Artificial Intelligence (AAAI …, 2023 | 27 | 2023 |
| Dataset distillation using parameter pruning G Li, R Togo, T Ogawa, M Haseyama IEICE Transactions on Fundamentals of Electronics, Communications and …, 2024 | 24 | 2024 |
| COVID-19 detection based on self-supervised transfer learning using chest X-ray images G Li, R Togo, T Ogawa, M Haseyama International Journal of Computer Assisted Radiology and Surgery (IJCARS) 18 …, 2023 | 22 | 2023 |
| Tribyol: Triplet byol for self-supervised representation learning G Li, R Togo, T Ogawa, M Haseyama Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2022 | 22 | 2022 |
| Self-supervised learning for gastritis detection with gastric x-ray images G Li, R Togo, T Ogawa, M Haseyama International Journal of Computer Assisted Radiology and Surgery (IJCARS) 18 …, 2023 | 17 | 2023 |
| Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling G Li, R Togo, T Ogawa, M Haseyama Computers in Biology and Medicine (CIBM) 158, 106877, 2023 | 10 | 2023 |
| Generative Dataset Distillation Based on Diffusion Model D Su, J Hou, G Li, R Togo, R Song, T Ogawa, M Haseyama Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024 | 8 | 2024 |
| Zero-shot traffic sign recognition based on midlevel feature matching Y Gan, G Li, R Togo, K Maeda, T Ogawa, M Haseyama Sensors 23 (23), 9607, 2023 | 8 | 2023 |
| Awesome Dataset Distillation G Li, B Zhao, T Wang https://github.com/Guang000/Awesome-Dataset-Distillation, 2022 | 8 | 2022 |
| Importance-aware adaptive dataset distillation G Li, R Togo, T Ogawa, M Haseyama Neural Networks (NN) 172, 106154, 2024 | 7 | 2024 |
| Multimodal Low-light Image Enhancement with Depth Information Z Wang, D Li, G Li, Z Zhang, R Jiang Proceedings of the ACM International Conference on Multimedia (ACM MM), 2024 | 6 | 2024 |
| Cross-view self-supervised learning via momentum statistics in batch normalization G Li, R Togo, T Ogawa, M Haseyama IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2, 2021 | 6 | 2021 |
| Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum G Li, R Togo, T Ogawa, M Haseyama Multimedia Tools and Applications (MTAP) 81 (22), 32287-32303, 2022 | 5 | 2022 |
| Triplet self-supervised learning for gastritis detection with scarce annotations G Li, R Togo, T Ogawa, M Haseyama Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE …, 2021 | 5 | 2021 |
| RGMIM: Region-guided masked image modeling for learning meaningful representations from X-ray images G Li, R Togo, T Ogawa, M Haseyama Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2024 | 4* | 2024 |
| Generative Dataset Distillation: Balancing Global Structure and Local Details L Li, G Li, R Togo, K Maeda, T Ogawa, M Haseyama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Complexity evaluation of medical image data for classification problem based on spectral clustering G Li, R Togo, T Ogawa, M Haseyama Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE …, 2020 | 3 | 2020 |
Miki HaseyamaHokkaido UniversityVerified email at ist.hokudai.ac.jp
