publications
2023
- A brain-wide risk score for psychiatric disorder evaluated in a large adolescent population reveals increased divergence among higher-risk groups relative to controlsBiological Psychiatry 2023
- Multimodal subspace independent vector analysis captures latent subspace structures in large multimodal neuroimaging studiesbioRxiv 2023
- Predictive Sparse Manifold TransformWorkshop on High-dimensional Learning Dynamics (HLD), International Conference on Machine Learning (ICML) 2023
- Learning pipeline-invariant representation for robust brain phenotype predictionData-centric Machine Learning Research (DMLR) Workshop, International Conference on Machine Learning (ICML) 2023
2022
- Pipeline-Invariant Representation Learning for NeuroimagingMachine Learning for Health (ML4H) 2022
- Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoderIn 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022
2021
- Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studiesbioRxiv 2021
- Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT ScansTranslational Vision Science & Technology 2021
- Toward Automatic Segmentation for Non-human Primates.In 2nd International Workshop on Non-invasive Brain Stimulation 2021
2020
- Evaluating the transferability of deep learning models that distinguish glaucomatous from non-glaucomatous OCT circumpapillary disc scans.In Investigative Ophthalmology & Visual Science 2020