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MedicalPatchNet
MedicalPatchNet PublicMedicalPatchNet is a self-explainable deep learning architecture designed for medical classification that provides transparent and interpretable predictions without relying on post-hoc explanation …
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RadiographLandmarkMatching
RadiographLandmarkMatching PublicAI framework enabling precise, automated morphometric measurements by transferring landmarks from a single annotated reference radiograph to previously unseen images using dense matching
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Repositories
- RadiographMorphometryAgent Public
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- RadiographLandmarkMatching Public
AI framework enabling precise, automated morphometric measurements by transferring landmarks from a single annotated reference radiograph to previously unseen images using dense matching
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- MedicalPatchNet Public
MedicalPatchNet is a self-explainable deep learning architecture designed for medical classification that provides transparent and interpretable predictions without relying on post-hoc explanation methods.
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[MICCAI'26] Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study
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