Sage Hahn

According to our database, Sage Hahn authored at least 3 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics.

Zhipeng Cao, Guilai Zhan, Jinmei Qin, Renata B. Cupertino, Jonatan Ottino-Gonzalez, Alistair Murphy, Devarshi Pancholi, Sage Hahn, Dekang Yuan, Peter Callas, Scott Mackey, Hugh Garavan

NeuroImage, 2024

2021

Brain Predictability toolbox: a Python library for neuroimaging-based machine learning.

Sage Hahn, Dekang Yuan, Wesley K. Thompson, Max M. Owens, Nicholas A. Allgaier, Hugh Garavan

Bioinform., 2021

2019

Deep Learning for Recognition of Endoleak After Endovascular Abdominal Aortic Aneurysm Repair.

Sage Hahn, Christopher S. Morris, Daniel J. Bertges, Safwan Wshah

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019