Kristin R. Swanson

15 papers Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review.
IEEE Trans Autom. Sci. Eng.
Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li
2024 J jnl
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma.
npj Digit. Medicine
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
2024 J jnl
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review.
CoRR
Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li
2024 J jnl
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
CoRR
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
2024 J jnl
Weakly-Supervised Transfer Learning With Application in Precision Medicine.
IEEE Trans Autom. Sci. Eng.
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
2022 J jnl
Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine.
IEEE Trans Autom. Sci. Eng.
Lujia Wang, Andrea Hawkins-Daarud, Kristin R. Swanson, Leland S. Hu, Jing Li
2020 J jnl
A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type.
J. Digit. Imaging
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
2020 J jnl
From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response.
PLoS Comput. Biol.
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
2020 J jnl
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet.
CoRR
Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Cassandra R. Rickertsen, Lisa E. Paulson, Leland S. Hu, Joseph Ross Mitchell, Kristin R. Swanson
2020 — conf
Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth.
SASHIMI@MICCAI
Pamela R. Jackson, Andrea Hawkins-Daarud, Kristin R. Swanson
2019 J jnl
MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers.
Bioinform.
Mohamad Koohi-Moghadam, Mitesh J. Borad, Nhan L. Tran, Kristin R. Swanson, Lisa Boardman, Hong-Zhe Su, Junwen Wang
2019 — conf
Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs.
ABCD-NP@MICCAI
Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Susan Christine Massey, Andrea Hawkins-Daarud, Pamela R. Jackson, Kristin R. Swanson
2018 — conf
Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment.
Image Perception, Observer Performance, and Technology Assessment
Pamela R. Jackson, Andrea Hawkins-Daarud, Savannah C. Partridge, Paul E. Kinahan, Kristin R. Swanson
2014 J jnl
Mathematical Oncology: Using Mathematics to Enable Cancer Discoveries.
Am. Math. Mon.
Trachette Jackson, Natalia L. Komarova, Kristin R. Swanson
2008 J jnl
Quantifying glioma cell growth and invasion in vitro.
Math. Comput. Model.
Kristin R. Swanson