Jonathan Stubblefield
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View article: Using Large Language Models to Translate Machine Results to Human Results
Using Large Language Models to Translate Machine Results to Human Results Open
Chest x-rays are among the most common diagnostic studies used in most both inpatient and outpatient settings, and they represent a significant portion of the workload for radiologists. Many different machine learning models have been deve…
View article: Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images
Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images Open
We have conducted a study of the COVID-19 severity with the chest x-ray images, a private dataset collected from our collaborator St Bernards Medical Center. The dataset is comprised of chest x-ray images from 1,550 patients who were admit…
View article: Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis
Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis Open
Alzheimer’s Disease (AD) is a degenerative brain disease and is the most common cause of dementia. Despite being a common disease, AD is poorly understood. Current medical treatments for AD are aimed at slowing the progression of the disea…
View article: COVID19 Diagnosis Using Chest X-rays and Transfer Learning
COVID19 Diagnosis Using Chest X-rays and Transfer Learning Open
A pandemic of respiratory illnesses from a novel coronavirus known as Sars-CoV-2 has swept across the globe since December of 2019. This is calling upon the research community including medical imaging to provide effective tools for use in…
View article: An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images Open
We present here the Arkansas AI-Campus solution method for the 2019 Kidney Tumor Segmentation Challenge (KiTS19). Our Arkansas AI-Campus team participated the KiTS19 Challenge for four months, from March to July of 2019. This paper provide…
View article: Transfer learning with chest X-rays for ER patient classification
Transfer learning with chest X-rays for ER patient classification Open
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We conducted a ret…
View article: Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection Open
Lung cancer is the leading cause of cancer deaths. Low-dose computed tomography (CT)screening has been shown to significantly reduce lung cancer mortality but suffers from a high false positive rate that leads to unnecessary diagnostic pro…
View article: Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification Open
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We evaluated ER pa…
View article: Minor QTLs mining through the combination of GWAS and machine learning feature selection
Minor QTLs mining through the combination of GWAS and machine learning feature selection Open
Introduction Minor QTLs mining has a very important role in genomic selection, pathway analysis and trait development in agricultural and biological research. Since most individual loci contribute little to complex trait variations, it rem…
View article: Minor QTLs mining through the combination of GWAS and machine learning feature selection
Minor QTLs mining through the combination of GWAS and machine learning feature selection Open
Introduction Minor QTLs mining has a very important role in genomic selection, pathway analysis and trait development in agricultural and biological research. Since most individual loci contribute little to complex trait variations, it rem…
View article: Minor QTLs mining through the combination of GWAS and machine learning feature selection
Minor QTLs mining through the combination of GWAS and machine learning feature selection Open
Background Minor QTLs mining has a very important role in genomic selection, pathway analysis and trait development in agricultural and biological research. Since most individual loci contribute little to complex trait variations, it remai…
View article: Arkansas AI-Campus Method for the 2019 Kidney Tumor Segmentation Challenge
Arkansas AI-Campus Method for the 2019 Kidney Tumor Segmentation Challenge Open
Our Arkansas AI-Campus team participants the 2019 Kidney Tumor Segmentation Challenge (KiTS19) during the past 4 months. Here the paper provides a summary of our methods and validation results for this grand challenge in biomedical imaging…