Lee Curtin

According to our database, Lee Curtin authored at least 4 papers between 2019 and 2024.

Collaborative distances:

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

2024

Weakly-Supervised Transfer Learning With Application in Precision Medicine.

Lingchao Mao, Lujia Wang, Leland S. Hu, Jenny M. Eschbacher, Gustavo De Leon, Kyle W. Singleton, Lee Curtin, Javier Urcuyo, Christopher P. Sereduk, Nhan L. Tran, Andrea Hawkins-Daarud, Kristin R. Swanson, Jing Li

IEEE Trans Autom. Sci. Eng., October, 2024

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.

Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugala, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li

CoRR, 2024

2020

Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet.

Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Cassandra R. Rickertsen, Lisa E. Paulson, Leland S. Hu, Joseph Ross Mitchell, Kristin R. Swanson

CoRR, 2020

2019

Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs.

Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Susan Christine Massey, Andrea Hawkins-Daarud, Pamela R. Jackson, Kristin R. Swanson

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019