Jake A. Qualls

According to our database, Jake A. Qualls authored at least 5 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images.

Jason L. Causey, Jonathan Stubblefield, Jake A. Qualls, Jennifer Fowler, Lingrui Cai, Karl Walker, Yuanfang Guan, Xiuzhen Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection.

Jason L. Causey, Keyu Li, Xianghao Chen, Wei Dong, Karl Walker, Jake A. Qualls, Jonathan Stubblefield, Jason H. Moore, Yuanfang Guan, Xiuzhen Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

Identify differentially expressed genes with large background samples.

Jennifer Fowler, Jonathan Stubblefield, Jason L. Causey, Jake A. Qualls, Wei Dong, Hongmei Jiang, Karl Walker, Yuanfang Guan, Xiuzhen Huang

Int. J. Comput. Biol. Drug Des., 2021

2019

Lung cancer screening with low-dose CT scans using a deep learning approach.

Jason L. Causey, Yuanfang Guan, Wei Dong, Karl Walker, Jake A. Qualls, Fred W. Prior, Xiuzhen Huang

CoRR, 2019

2018

Highly accurate model for prediction of lung nodule malignancy with CT scans.

Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang

CoRR, 2018