Pamela R. Jackson

According to our database, Pamela R. Jackson authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Digital twins for health: a scoping review.

Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela R. Jackson, Ying Xiao, Tanveer F. Syeda-Mahmood, Richard Tuli, Jun Deng

npj Digit. Medicine, 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

2022

Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.

Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke L. Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer F. Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis

Frontiers Digit. Health, 2022

2020

A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type.

Sara Ranjbar, Kyle W. Singleton, Pamela R. Jackson, Cassandra R. Rickertsen, Scott A. Whitmire, Kamala R. Clark-Swanson, Joseph Ross Mitchell, Kristin R. Swanson, Leland S. Hu

J. Digit. Imaging, 2020

Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth.

Pamela R. Jackson, Andrea Hawkins-Daarud, Kristin R. Swanson

Proceedings of the Simulation and Synthesis in Medical Imaging, 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

2018

Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment.

Pamela R. Jackson, Andrea Hawkins-Daarud, Savannah C. Partridge, Paul E. Kinahan, Kristin R. Swanson

Proceedings of the Medical Imaging 2018: Image Perception, 2018