Jake Qualls

Arkansas State University — United States

Medicine · Health Sciences

8h-index374citations18works0.02yr avg
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Research Topics

COVID-19 diagnosis using AI(7), Radiomics and Machine Learning in Medical Imaging(7), Lung Cancer Diagnosis and Treatment(5), Genetic Mapping and Diversity in Plants and Animals(3), Machine Learning in Healthcare(3)

Publications18 total

Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images
2022Open Access
Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis
2022· 1 citedOpen Access
COVID19 Diagnosis Using Chest X-rays and Transfer Learning
2022· 3 citedOpen Access
An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2021· 37 citedOpen Access
Identify differentially expressed genes with large background samples
International Journal of Computational Biology and Drug Design·2021
Identify differentially expressed genes with large background samples
International Journal of Computational Biology and Drug Design·2021
Transfer learning with chest X-rays for ER patient classification
Scientific Reports·2020· 16 citedOpen Access
Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2020· 36 citedOpen Access
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
2020· 5 citedOpen Access
Massard Prairie Restoration and Soil Microbiome Succession
Journal of the Arkansas Academy of Science·2020· 1 citedOpen Access
Minor QTLs mining through the combination of GWAS and machine learning feature selection
2019· 25 citedOpen Access
Minor QTLs mining through the combination of GWAS and machine learning feature selection
2019· 9 citedOpen Access
Lung cancer screening with low-dose CT scans using a deep learning approach
arXiv (Cornell University)·2019· 21 citedOpen Access
Minor QTLs mining through the combination of GWAS and machine learning feature selection
2019· 5 citedOpen Access
CNNcon: A Quantitative Imaging Tool for Lung CT Image Feature Analysis
2019Open Access
Arkansas AI-Campus Method for the 2019 Kidney Tumor Segmentation Challenge
2019Open Access
Highly accurate model for prediction of lung nodule malignancy with CT scans
Scientific Reports·2018· 202 citedOpen Access
Highly accurate model for prediction of lung nodule malignancy with CT scans
arXiv (Cornell University)·2018· 13 citedOpen Access

Frequent Co-authors

Jason Causey(17), Xiuzhen Huang(17), Jonathan Stubblefield(13), Karl Walker(12), Jennifer Fowler(7), Emily S. Bellis(7), Yuanfang Guan(5), Fred Prior(4), Wei Dong(4), Jason H. Moore(4), Lingrui Cai(3), Wei Zhou(3), Junyu Zhang(2), Shiqian Ma(2), Bo Jiang(2), David G. Politte(2), Shuzhong Zhang(2), Mitchell Hervert(2), Sara M. Nehring(2), Keyu Li(1)