Search Results for author: Blaine Rister

Found 4 papers, 1 papers with code

COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs

1 code implementation17 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.

Computed Tomography (CT) Lesion Segmentation

Probabilistic bounds on neuron death in deep rectifier networks

no code implementations13 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.

CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss

no code implementations27 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.

Data Augmentation Image Segmentation +2

Piecewise convexity of artificial neural networks

no code implementations17 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.

speech-recognition Speech Recognition

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