Search Results for author: Dillon Laird

Found 2 papers, 1 papers with code

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

11 code implementations11 Dec 2017 Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

To evaluate models robustly and to get an estimate of radiologist performance, we collect additional labels from six board-certified Stanford radiologists on the test set, consisting of 207 musculoskeletal studies.

Anomaly Detection Specificity

Stochastic Variational Inference for Hidden Markov Models

no code implementations NeurIPS 2014 Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox

Variational inference algorithms have proven successful for Bayesian analysis in large data settings, with recent advances using stochastic variational inference (SVI).

Stochastic Optimization Variational Inference

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