Kristin R. Swanson

According to our database, Kristin R. Swanson authored at least 13 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma.

Hairong Wang, Michael G. Argenziano, Hyunsoo Yoon, Deborah Boyett, Akshay Save, Petros Petridis, William Savage, Pamela R. Jackson, Andrea Hawkins-Daarud, Nhan L. Tran, Leland S. Hu, Kyle W. Singleton, Lisa E. Paulson, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R. Swanson, Peter D. Canoll, Jing Li

npj Digit. Medicine, 2024

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review.

Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li

CoRR, 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

Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine.

Lujia Wang, Andrea Hawkins-Daarud, Kristin R. Swanson, Leland S. Hu, Jing Li

IEEE Trans Autom. Sci. Eng., 2022

2020

From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response.

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

PLoS Comput. Biol., 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

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

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

MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers.

Mohamad Koohi-Moghadam, Mitesh J. Borad, Nhan L. Tran, Kristin R. Swanson, Lisa Boardman, Hong-Zhe Su, Junwen Wang

Bioinform., 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

2008

Quantifying glioma cell growth and invasion in vitro.

Kristin R. Swanson

Math. Comput. Model., 2008