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 | 200 | 2018 |
Why computational thinking should be integrated into the curriculum JA Qualls, LB Sherrell Journal of Computing Sciences in Colleges 25 (5), 66-71, 2010 | 182 | 2010 |
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 | 24 | 2019 |
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 | 18 | 2019 |
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 | 16 | 2020 |
CS1 STUDENTS'UNDERSTANDING OF COMPUTATIONAL THINKING CONCEPTS JA Qualls, MM Grant, LB Sherrell Journal of Computing Sciences in Colleges 26 (5), 62-71, 2011 | 16 | 2011 |
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 | 15 | 2021 |
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 | 9 | 2020 |
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 | 5 | 2019 |
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 | 4 | 2020 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 |