Young Sin Ko

Orcid: 0000-0003-1319-4847

According to our database1, Young Sin Ko authored at least 10 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks.
BMC Medical Imaging, December, 2025

Learned Image Compression and Restoration for Digital Pathology.
CoRR, March, 2025

Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification.
CoRR, March, 2025

Towards Classifying Histopathological Microscope Images as Time Series Data.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace.
BMC Medical Imaging, December, 2024

MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images.
CoRR, 2024

WISE: Efficient WSI selection for active learning in histopathology.
Comput. Medical Imaging Graph., 2024

Automatic Tumor Cellularity Measurement: AI-Based Pipeline for Multi-Organ Pathology Imaging.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Leveraging Spatial Relationships in Microscopic Images for Patient Cancer Diagnosis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Generating BlobCell Label from Weak Annotations for Precise Cell Segmentation.
Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023


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