Research graph
References from A straightforward framework to harmonize computational pathology. Local targets link to admitted publications; unresolved targets remain external evidence.
Towards a general-purpose foundation model for computational pathology
10.1038/s41591-024-02857-3 · 2024 · External reference
Unresolved reference
2024 · External reference
Scaling self-supervised learning for histopathology with masked image modeling
2023 · External reference
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2024 · External reference
Implementing the DICOM standard for digital pathology
10.4103/jpi.jpi_42_18 · 2018 · External reference
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2024 · External reference
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2024 · External reference
Generative artificial intelligence in pathology and medicine: a deeper dive
10.1016/j.modpat.2024.100687 · 2025 · External reference
A foundation model for clinical-grade computational pathology and rare cancers detection
10.1038/s41591-024-03141-0 · 2024 · External reference
Transformer-based unsupervised contrastive learning for histopathological image classification
10.1016/j.media.2022.102559 · 2022 · External reference
A whole-slide foundation model for digital pathology from real-world data
10.1038/s41586-024-07441-w · 2024 · External reference
PathOrchestra: a comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks
10.1038/s41746-025-02027-w · 2025 · External reference
Unresolved reference
2024 · External reference
