Scott A. Small

According to our database, Scott A. Small authored at least 4 papers between 2019 and 2022.

Collaborative distances:

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

2022

Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning.

Junhao Zhang, Vishwanatha M. Rao, Ye Tian, Yanting Yang, Nicolas Acosta, Zihan Wan, Pin-Yu Lee, Chloe Zhang, Lawrence S. Kegeles, Scott A. Small, Jia Guo

CoRR, 2022

2021

Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data.

Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Substituting Gadolinium in Brain MRI Using DeepContrast.

Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo

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

2019

Estimating brain age based on a healthy population with deep learning and structural MRI.

Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano

CoRR, 2019