J. Cosentino

发表

Leveraging deep-learning on raw spirograms to improve genetic understanding and risk scoring of COPD despite noisy labels

F. Hormozdiari, B. Hobbs, D. Lai, 2022, medRxiv.

Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

D. Sculley, Zachary R. McCaw, Farhad Hormozdiari, 2020, American journal of human genetics.

An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic Discovery

F. Hormozdiari, C. McLean, Bo Yuan, 2022, bioRxiv.

The Search for Sparse, Robust Neural Networks pdf

Federico Zaiter, Dan Pei, Jun Zhu, 2019, ArXiv.

Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models

Cory Y. McLean, F. Hormozdiari, C. McLean, 2023, Nature Genetics.

Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseases

F. Hormozdiari, A. Khawaja, D. Lai, 2023, medRxiv.

Generative Well-intentioned Networks

Jun Zhu, Justin Cosentino, Jun Zhu, 2019, NeurIPS.

Multimodal LLMs for health grounded in individual-specific data

Cory Y. McLean, F. Hormozdiari, Greg Corrado, 2023, ML4MHD.

Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction

Cory Y. McLean, F. Hormozdiari, A. Khawaja, 2024, Nature genetics.

Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseases

F. Hormozdiari, Howard Yang, A. Carroll, 2022 .