HRLB Lab
HRLB Lab
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Agnes B Fogo
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AI applications in renal pathology
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation
Circle Representation for Medical Object Detection
Compound Figure Separation of Biomedical Images with Side Loss
Construction of a multi-phase contrast computed tomography kidney atlas
Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation
Instance segmentation for whole slide imaging: end-to-end or detect-then-segment
Map3D: registration based multi-object tracking on 3D serial whole slide images
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks
CircleNet: Anchor-free detection with circle representation
EasierPath: an open-source tool for human-in-the-loop deep learning of renal pathology
Multi-Contrast Computed Tomography Healthy Kidney Atlas
Multi-Contrast Computed Tomography Healthy Kidney Atlas
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