Karl Walker
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View article: Blockchain-Integrated Federated Learning Framework for Detecting False Data Injection Attacks in Power Systems With Homomorphic Encryption
Blockchain-Integrated Federated Learning Framework for Detecting False Data Injection Attacks in Power Systems With Homomorphic Encryption Open
False Data Injection Attacks (FDIAs) pose a substantial risk to the reliability and stability of Cyber-Physical Power Systems (CPPS). While federated learning (FL) has emerged as a promising approach to detect such attacks without exposing…
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: Lung cancer screening with low-dose CT scans using a deep learning approach
Lung cancer screening with low-dose CT scans using a deep learning approach Open
Lung cancer is the leading cause of cancer deaths. Early detection through low-dose computed tomography (CT) screening has been shown to significantly reduce mortality but suffers from a high false positive rate that leads to unnecessary d…
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: DNAp: A Pipeline for DNA-seq Data Analysis
DNAp: A Pipeline for DNA-seq Data Analysis Open
Next-generation sequencing is empowering genetic disease research. However, it also brings significant challenges for efficient and effective sequencing data analysis. We built a pipeline, called DNAp, for analyzing whole exome sequencing …
View article: Liquid biopsy and its role in an advanced clinical trial for lung cancer
Liquid biopsy and its role in an advanced clinical trial for lung cancer Open
Liquid biopsy methodologies, for the purpose of plasma genotyping of cell-free DNA (cfDNA) of solid tumors, are a new class of novel molecular assays. Such assays are rapidly entering the clinical sphere of research-based monitoring in tra…
View article: Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm Open
Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient, and/or will solve your probl…