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Found 6 papers, 0 papers with code
Real Time Multi Organ Classification on Computed Tomography Images
Organ segmentation is a fundamental task in medical imaging, and it is useful for many clinical automation pipelines.
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies
We propose a method to match anatomical locations between pairs of medical images in longitudinal comparisons.
Deep Generative Neural Embeddings for High Dimensional Data Visualization
We propose a visualization technique that utilizes neural network embeddings and a generative network to reconstruct original data.
Supervised Understanding of Word Embeddings
We have shown that the method creates interpretable projections of original embedding dimensions.
Document Representation Learning for Patient History Visualization
To facilitate this, we have used a representation learning algorithm that creates a semantic representation space for documents where the clinically related documents lie close to each other.
Hierarchical Latent Word Clustering
This paper presents a new Bayesian non-parametric model by extending the usage of Hierarchical Dirichlet Allocation to extract tree structured word clusters from text data.
