Katherine D. Van Schaik

According to our database, Katherine D. Van Schaik authored at least 3 papers between 2023 and 2025.

Collaborative distances:

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

2025

CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression.

Dingjie Su, Katherine D. Van Schaik, Lucas W. Remedios, Thomas Z. Li, Fabien Maldonado, Kim L. Sandler, Benoit M. Dawant, Bennett A. Landman

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.

Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman

CoRR, 2024

2023

Predicting Age from White Matter Diffusivity with Residual Learning.

Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman

CoRR, 2023