Tetsuo Ushiku
Orcid: 0000-0002-1763-8380
According to our database1,
Tetsuo Ushiku
authored at least 9 papers
between 2023 and 2025.
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Bibliography
2025
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis.
CoRR, January, 2025
Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning.
Proceedings of the 19th International Conference on Machine Vision and Applications, 2025
2024
IEEE Access, 2024
Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis.
Proceedings of the Applications of Medical Artificial Intelligence, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists.
Patterns, February, 2023
Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023