Daniel R. Wong

Trans-Channel Fluorescence Learning Improves High-Content Screening for Alzheimer's Disease Therapeutics

Atul J. Butte, Michael J. Keiser, Stanley B. Prusiner, 2021 .

Deep learning from multiple experts improves identification of amyloid neuropathologies

Michael J. Keiser, Nicholas C. Mew, Daniel R. Wong, 2021, bioRxiv.

Deep Representation Learning Determines Drug Mechanism of Action from Cell Painting Images

David J. Logan, Daniel R. Wong, S. Hariharan, 2022, bioRxiv.

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

Michael J. Keiser, Daniel R. Wong, Jacob I. Ayers, 2021, Nature Machine Intelligence.

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

Michael J. Keiser, Daniel R. Wong, C. DeCarli, 2023, bioRxiv.

Deep learning from multiple experts improves identification of amyloid neuropathologies

Michael J. Keiser, Nicholas C. Mew, Daniel R. Wong, 2022, Acta Neuropathologica Communications.

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

Michael J. Keiser, Daniel R. Wong, C. DeCarli, 2023, Communications biology.

Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding

Erik J. Navarro, Daniel R. Wong, W. DeGrado, 2020, bioRxiv.

Deep learning from multiple experts improves identification of amyloid neuropathologies

Michael J. Keiser, Daniel Wong, Daniel R. Wong, 2021 .