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2020 – today
- 2024
[i1]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:
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. CoRR abs/2401.00128 (2024)- 2022
- [j2]Lujia Wang
, Andrea Hawkins-Daarud, Kristin R. Swanson, Leland S. Hu, Jing Li:
Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine. IEEE Trans Autom. Sci. Eng. 19(3): 2203-2215 (2022) - 2020
- [j1]Jill Gallaher, Susan Christine Massey, Andrea Hawkins-Daarud, Sonal S. Noticewala, Russell C. Rockne, Sandra K. Johnston, Luis Gonzalez-Cuyar, Joseph Juliano, Orlando Gil, Kristin R. Swanson, Peter D. Canoll, Alexander R. A. Anderson:
From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response. PLoS Comput. Biol. 16(2) (2020) - [c3]Pamela R. Jackson, Andrea Hawkins-Daarud, Kristin R. Swanson:
Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth. SASHIMI@MICCAI 2020: 32-40
2010 – 2019
- 2019
- [c2]Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Susan Christine Massey, Andrea Hawkins-Daarud, Pamela R. Jackson, Kristin R. Swanson:
Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs. ABCD-NP@MICCAI 2019: 150-157 - 2018
- [c1]Pamela R. Jackson, Andrea Hawkins-Daarud, Savannah C. Partridge, Paul E. Kinahan, Kristin R. Swanson:
Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105771D
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