| A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues. DOI | H&E | frontal, parietal, occipital | svs, czi | |
| Applying machine learning to assist in the morphometric assessment of brain arteriosclerosis through automation. DOI | H&E | frontal, occipital, periventricular WM | svs, czi | |
| Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline. DOI | 4G8 | superior and middle temporal gyri | jpg | |
| Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases. DOI | 4G8 | temporal | svs | |
| Validation of machine learning models to detect amyloid pathologies across institutions. DOI | 4G8 | temporal | svs | |
| Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles. DOI | PHF-1, pan-tau, AT8, CP13 | p. hippo, a. hippo, amygdala, temporal, occipital | svs, ndpi | |
| Deep learning from multiple experts improves identification of amyloid neuropathologies. DOI | 4G8, NAB228, 6E10 | temporal | svs | |
| Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels. DOI | 4G8, NAB228, 6E10 | temporal | svs | |
| Learning precise segmentation of neurofibrillary tangles from rapid manual point annotations. DOI | AT8 | temporal | czi | |
| Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data. DOI | H&E | non-brain tissue (colorectal, breast) | N/A | |
| Clinical and pathologic correlations of machine learning quantification of Aβ deposits across 3 brain regions of decedents with Alzheimer disease. DOI | 4G8 | frontal, temporal, parietal | czi | |
| Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels. DOI | 4G8, NAB228, 6E10 | temporal | svs | |
