Jacob J. Michaelson

According to our database, Jacob J. Michaelson authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

2024

The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem.

Heath A. Davis, Donna A. Santillan, Chris E. Ortman, Asher A. Hoberg, Joseph P. Hetrick, Charles W. McBrearty, Erliang Zeng, Mary S. Vaughan Sarrazin, Karen Dunn Lopez, Cole G. Chapman, Ryan M. Carnahan, Jacob J. Michaelson, Boyd M. Knosp

J. Am. Medical Informatics Assoc., February, 2024

2023

Exploratory Application of Deep Learning in Pharmaceutical Drug Discovery.

Lakshmi Namratha Vempaty, Anurag Shrivastava, Anuradha S. Nigade, Ajay Rana, Jacob J. Michaelson, Dinesh Singh

Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

2020

Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional Networks.

Leo Brueggeman, Taylor R. Thomas, Tanner Koomar, Brady Hoskins, Jacob J. Michaelson

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes.

Leo Brueggeman, Tanner Koomar, Yongchao Huang, Brady Hoskins, Tien Tong, James Kent, Ethan Bahl, Charles E. Johnson, Alexander Powers, Douglas R. Langbehn, Jatin G. Vaidya, Hans J. Johnson, Jacob J. Michaelson

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

2018

TiSAn: estimating tissue-specific effects of coding and non-coding variants.

Kevin Vervier, Jacob J. Michaelson

Bioinform., 2018

2017

cerebroViz: an R package for anatomical visualization of spatiotemporal brain data.

Ethan Bahl, Tanner Koomar, Jacob J. Michaelson

Bioinform., 2017