M. J. Keiser

Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures

The paper introduces a deep learning tool called Metric Ion Classification (MIC) to classify ions and waters in cryo-EM and x-ray crystallography structures, identifying mismodeled ions in the PDB.

Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels

The paper develops a deep learning model to detect amyloid neuropathologies from whole slide images using coarse labels, achieving performance comparable to expert annotations.

Deep learning from multiple experts improves identification of amyloid neuropathologies

The paper develops a deep learning model that combines multiple expert annotations to improve the identification of amyloid neuropathologies, achieving consistent diagnoses across varying expert opinions.

Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeutics

This paper introduces a deep learning method to improve high-content screening for Alzheimer's disease therapeutics by generating predicted fluorescent signals from alternative markers.

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

This paper develops a deep learning pipeline to classify Alzheimer’s disease pathologies, achieving high accuracy in detecting amyloid plaques and cerebral amyloid angiopathy from histological slides.