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View article: Consistent Point Matching
Consistent Point Matching Open
This study demonstrates that incorporating a consistency heuristic into the point-matching algorithm \cite{yerebakan2023hierarchical} improves robustness in matching anatomical locations across pairs of medical images. We validated our app…
View article: Consistent Point Matching
Consistent Point Matching Open
This study demonstrates that incorporating a consistency heuristic into the point-matching algorithm improves robustness in thetask of matching anatomical locations in pairs of medical images. We validated our approach on diverse longitudi…
View article: BodyGPS: Anatomical Positioning System
BodyGPS: Anatomical Positioning System Open
We introduce a new type of foundational model for parsing human anatomy in medical images that works for different modalities. It supports supervised or unsupervised training and can perform matching, registration, classification, or segme…
View article: Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2
Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2 Open
Anatomical landmarks are vital in medical imaging for navigation and anomaly detection. Modern large language models (LLMs), like Llama-2, offer promise for automating the mapping of these landmarks in free-text radiology reports to corres…
View article: Real Time Multi Organ Classification on Computed Tomography Images
Real Time Multi Organ Classification on Computed Tomography Images Open
Organ segmentation is a fundamental task in medical imaging since it is useful for many clinical automation pipelines. However, some tasks do not require full segmentation. Instead, a classifier can identify the selected organ without segm…
View article: FHIR-GPT Enhances Health Interoperability with Large Language Models
FHIR-GPT Enhances Health Interoperability with Large Language Models Open
Advancing health interoperability can significantly benefit health research, including phenotyping, clinical trial support, and public health surveillance. Federal agencies, including ONC, CDC, and CMS, have been collectively collaborating…
View article: Enhancing Health Data Interoperability with Large Language Models: A FHIR Study
Enhancing Health Data Interoperability with Large Language Models: A FHIR Study Open
In this study, we investigated the ability of the large language model (LLM) to enhance healthcare data interoperability. We leveraged the LLM to convert clinical texts into their corresponding FHIR resources. Our experiments, conducted on…
View article: A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies Open
We propose a method to match anatomical locations between pairs of medical images in longitudinal comparisons. The matching is made possible by computing a descriptor of the query point in a source image based on a hierarchical sparse samp…
View article: Deep Generative Neural Embeddings for High Dimensional Data Visualization
Deep Generative Neural Embeddings for High Dimensional Data Visualization Open
We propose a visualization technique that utilizes neural network embeddings and a generative network to reconstruct original data. This method allows for independent manipulation of individual image embeddings through its non-parametric s…
View article: Supervised Understanding of Word Embeddings
Supervised Understanding of Word Embeddings Open
Pre-trained word embeddings are widely used for transfer learning in natural language processing. The embeddings are continuous and distributed representations of the words that preserve their similarities in compact Euclidean spaces. Howe…
View article: Hierarchical Latent Word Clustering
Hierarchical Latent Word Clustering Open
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. The inference algorithm of the model collects words in a cluster i…