1 code implementation • 17 May 2021 • Vignav Ramesh, Blaine Rister, Daniel L. Rubin
Chest X-rays of coronavirus disease 2019 (COVID-19) patients are frequently obtained to determine the extent of lung disease and are a valuable source of data for creating artificial intelligence models.
no code implementations • 13 Jul 2020 • Blaine Rister, Daniel L. Rubin
Neuron death is a complex phenomenon with implications for model trainability: the deeper the network, the lower the probability of finding a valid initialization.
no code implementations • 27 Nov 2018 • Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, Daniel L. Rubin
To achieve the best results from data augmentation, our model uses the intersection-over-union (IOU) loss function, a close relative of the Dice loss.
no code implementations • 17 Jul 2016 • Blaine Rister, Daniel L. Rubin
Finally, that the network as a function of all its parameters is piecewise multi-convex, a generalization of biconvexity.