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2020 – today
- 2024
[j6]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:
Weakly-Supervised Transfer Learning With Application in Precision Medicine. IEEE Trans Autom. Sci. Eng. 21(4): 6250-6264 (2024)- [i3]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) - [i2]Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li:
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review. CoRR abs/2401.06406 (2024) - 2022
- [j5]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
- [j4]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:
A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type. J. Digit. Imaging 33(2): 439-446 (2020) - [j3]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 - [i1]Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Cassandra R. Rickertsen, Lisa E. Paulson, Leland S. Hu, Joseph Ross Mitchell, Kristin R. Swanson:
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet. CoRR abs/2006.02627 (2020)
2010 – 2019
- 2019
- [j2]Mohamad Koohi-Moghadam, Mitesh J. Borad, Nhan L. Tran, Kristin R. Swanson, Lisa Boardman, Hong-Zhe Su, Junwen Wang:
MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers. Bioinform. 35(19): 3812-3814 (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
2000 – 2009
- 2008
- [j1]Kristin R. Swanson:
Quantifying glioma cell growth and invasion in vitro. Math. Comput. Model. 47(5-6): 638-648 (2008)
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