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Jake A. Qualls
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Highly accurate model for prediction of lung nodule malignancy with CT scans
JL Causey, J Zhang, S Ma, B Jiang, JA Qualls, DG Politte, F Prior, ...
Scientific reports 8 (1), 9286, 2018
1992018
Why computational thinking should be integrated into the curriculum
JA Qualls, LB Sherrell
Journal of Computing Sciences in Colleges 25 (5), 66-71, 2010
1812010
Lung cancer screening with low-dose CT scans using a deep learning approach
JL Causey, Y Guan, W Dong, K Walker, JA Qualls, F Prior, X Huang
arXiv preprint arXiv:1906.00240, 2019
232019
Minor QTLs mining through the combination of GWAS and machine learning feature selection
W Zhou, ES Bellis, J Stubblefield, J Causey, J Qualls, K Walker, X Huang
BioRxiv, 712190, 2019
172019
Spatial pyramid pooling with 3D convolution improves lung cancer detection
JL Causey, K Li, X Chen, W Dong, K Walker, JA Qualls, J Stubblefield, ...
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020
162020
CS1 STUDENTS'UNDERSTANDING OF COMPUTATIONAL THINKING CONCEPTS
JA Qualls, MM Grant, LB Sherrell
Journal of Computing Sciences in Colleges 26 (5), 62-71, 2011
162011
An ensemble of U-Net models for kidney tumor segmentation with CT images
J Causey, J Stubblefield, J Qualls, J Fowler, L Cai, K Walker, Y Guan, ...
IEEE/ACM transactions on computational biology and bioinformatics 19 (3 …, 2021
152021
Transfer learning with chest X-rays for ER patient classification
J Stubblefield, M Hervert, JL Causey, JA Qualls, W Dong, L Cai, J Fowler, ...
Scientific reports 10 (1), 20900, 2020
92020
Minor QTLs mining through the combination of GWAS and machine learning feature selection. BioRxiv, 712190
W Zhou, ES Bellis, J Stubblefield, J Causey, J Qualls, K Walker, X Huang
52019
Highly accurate model for prediction of lung nodule malignancy with CT scans. Sci Rep. 8: 1–12
JL Causey, J Zhang, S Ma, B Jiang, JA Qualls, DG Politte
5
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
J Stubblefield, M Hervert, J Causey, J Qualls, W Dong, L Cai, J Fowler, ...
MedRxiv, 2020.04. 11.20062091, 2020
42020
Dyslexia and AI: the use of artificial intelligence to identify and create font to improve reading ability of individuals with Dyslexia
B Gilbert, J Stubblefield, J Qualls, X Huang, A Pait, K Yanowitz, A Hays, ...
Society for Information Technology & Teacher Education International …, 2023
12023
Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis
J Stubblefield, A Kronberger, J Causey, J Qualls, J Fowler, K Zeng, ...
MedRxiv, 2022.10. 30.22281735, 2022
12022
Data Analysis of Computer-Generated Font and Student Reading Performance: Dyslexia and AI-Next Steps
A Pait, J Qualls, BB Gilbert, A Hays, K Yanowitz, X Huang, G Carter, ...
Society for Information Technology & Teacher Education International …, 2024
2024
Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images
J Stubblefield, C Saldivar, A De Feria, J Riddle, A Shivkumar, J Causey, ...
medRxiv, 2022
2022
COVID19 Diagnosis Using Chest X-rays and Transfer Learning
J Stubblefield, J Causey, D Dale, J Qualls, E Bellis, J Fowler, K Walker, ...
MedRxiv, 2022
2022
Identify differentially expressed genes with large background samples
J Fowler, J Stubblefield, J Causey, J Qualls, W Dong, H Jiang, K Walker, ...
International Journal of Computational Biology and Drug Design 14 (6), 411-428, 2021
2021
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification (preprint)
J Stubblefield, M Hervert, J Causey, J Qualls, W Dong, L Cai, J Fowler, ...
2020
Massard Prairie Restoration and Soil Microbiome Succession
JM Shaver, ES Bellis, C Iwaki, J Qualls, J Randolph, J Smith
Journal of the Arkansas Academy of Science 74 (1), 2020
2020
CNNcon: A Quantitative Imaging Tool for Lung CT Image Feature Analysis
J Causey, J Qualls, JH Moore, F Prior, X Huang
bioRxiv, 615492, 2019
2019
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Articles 1–20