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10/23/2020
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
With the growing significance of graphs as an effective representation o...
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07/16/2020
Camera Bias in a Fine Grained Classification Task
We show that correlations between the camera used to acquire an image an...
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04/28/2019
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Handling large corpuses of documents is of significant importance in man...
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03/15/2019
Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features
While deep learning has seen many recent applications to drug discovery,...
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02/01/2019
2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor
The detection of vascular structures from noisy images is a fundamental ...
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11/20/2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Graphs are a commonly used construct for representing relationships betw...
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09/23/2018
Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images
A wide range of biomedical applications requires enhancement, detection,...
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09/14/2018
Style Augmentation: Data Augmentation via Style Randomization
We introduce style augmentation, a new form of data augmentation based o...
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06/19/2018
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
Graph embeddings have become a key and widely used technique within the ...
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02/14/2018
The Multiscale Bowler-Hat Transform for Vessel Enhancement in 3D Biomedical Images
Enhancement and detection of 3D vessel-like structures has long been an ...
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09/16/2017