The Center for No-Boundary Thinking aims to support a vibrant intellectual environment and promote deep connection between AI and other disciplines.
Submissions from 2023
Modeling the Factors Associated with Topic Avoidance about Mental Health: Depressive Symptoms, Information and Relationship Assessments, and Efficacy, Amanda M. Carpenter and Jennifer A. Theiss
Submissions from 2022
Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning, Emily S. Bellis, Ahmed A. Hashem, Jason L. Causey, Benjamin R. K. Runkle, Beatriz Moreno-García, Brayden W. Burns, V. Steven Green, Timothy N. Burcham, Michele L. Reba, and Xiuzhen Huang
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, and Xiuzhen Huang
Cardiovascular Applications of Artificial Intelligence in Research, Diagnosis, and Disease Management, Viswanathan Rajagopalan and Houwei Cao
Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images, Jonathan Stubblefield, Christopher Saldivar, Anna De Feria, James Riddle, Abhijit Shivkumar, Jason Causey, Jake Qualls, Jennifer Fowler, and Xiuzhen Huang
Submissions from 2021
Identify differentially expressed genes with large background samples, Jennifer Fowler, Jonathan Stubblefield, Jason L. Causey, Jake Qualls, Wei Dong, Hongmei Jiang, Karl Walker, Yuanfang Guan, and Xiuzhen Huang
A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization, Yao Yan, Thomas Schaffter, Timothy Bergquist, Thomas Yu, Justin Prosser, Zafer Aydin, Amhar Jabeer, Ivan Brugere, Jifan Gao, Guanhua Chen, Jason L. Causey, Yuxin Yao, Kevin Bryson, Dustin R. Long, Jeffrey G. Jarvik, Christoph I. Lee, Adam Wilcox, Justin Guinney, Sean Mooney, Chethan Jujjavarapu, Jason Thomas, Martin Gunn, YiFan Wu, Nicholas Dobbins, Vikas O′Reilly-Shah, Andrew Teng, Noah Hammarlund, Graham Nichol, Pascal Brandt, Vikas Pejaver, Beth Britt, and Yuanfang Guan
Submissions from 2020
Spatial Pyramid Pooling with 3D Convolution Improves Lung Cancer Detection, Jason L. Causey, Keyu Li, Xianghao Chen, Wei Dong, Karl Walker, Jake Qualls, Jonathan Stubblefield, Jason H. Moore, Yuanfang Guan, and Xiuzhen Huang
Massard Prairie Restoration and Soil Microbiome Succession, Jeffrey M. Shaver, Emily S. Bellis, Chizuko Iwaki, Jake Qualls, Jay Randolph, and Jeremiah Smith
Transfer learning with chest X-rays for ER patient classification, Jonathan Stubblefield, Mitchell Hervert, Jason L. Causey, Jake A. Qualls, Wei Dong, Lingrui Cai, Jennifer Fowler, Emily Bellis, Karl Walker, Jason H. Moore, Sara Nehring, and Xiuzhen Huang
Submissions from 2018
DNAp: A Pipeline for DNA-Seq Data Analysis, Jason L. Causey, Cody Ashby, Karl Walker, Zhiping Paul Wang, Mary Yang, Yuanfang Guan, Jason H. Moore, and Xiuzhen Huang
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 Prior, Shuzhong Zhang, and Xiuzhen Huang
