Publications
Fractal-Based Morphometrics of Glioblastoma. In: Di Ieva, A. The Fractal Geometry of the Brain (Advances in Neurobiology, 2024)
Lee Curtin
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm (PLOS ONE, 2024)
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. Mrugała, Michele Ceccarelli ,Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li
Image-localized Biopsy Mapping of Brain Tumor Heterogeneity: A Single-Center Study Protocol (PLOS ONE, 2023)
Javier C Urcuyo*, Lee Curtin*, Jazlynn M Langworthy, Gustavo De Leon, Barrett Anderies, Kyle W Singleton, Andrea Hawkins-Daarud, Pamela R Jackson, Kamila M Bond, Sara Ranjbar, Yvette Lassiter-Morris, Kamala R Clark-Swanson, Lisa E Paulson, Christopher P Sereduk, Maciej M Mrugala, Alyx B Porter, Leslie C Baxter, Marcela Salomao, Kliment Donev, Miles Hudson, Jenna Meyer, Qazi Zeeshan, Mithun Sattur, Devi P Patra, Breck Jones, Rudy Rahme, Matthew T Neal, Naresh P Patel, Pelagia E Kouloumberis, Ali H Turkmani, Mark K Lyons, Chandan Krishna, Richard S Zimmerman, Bernard R Bendok, Nhan L Tran, Leland S Hu, Kristin R Swanson
*co-first authors
Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures (Nature Communications, 2023)
Leland Hu, Fulvio D'Angelo, Taylor Weiskittel, Francesca Caruso, Shannon Fortin Ensign, Mylan Blomquist, Matthew Flick, Lujia Wang, Christopher Sereduk, Kevin Meng-Lin, Gustavo De Leon, Ashley Nespodzany, Javier Urcuyo Acevedo, Ashlynn Gonzalez, Lee Curtin, Erika Lewis, Kyle Singleton, Timothy Dondlinger, Aliya Anil, Natenael Simmineh, Teresa Maria Rosaria Noviello, Reyna Patel, Panwen Wang, Junwen Wang, Jennifer Eschbacher, Andrea Hawkins-Daarud, Pamela Jackson, Itamar Grunfeld, Christian Elrod, Gina Mazza, Sam McGee, Lisa Paulson, Kamala Clark-Swanson, Yvette Lassiter-Morris, Kris Smith, Peter Nakaji, Bernard Bendok, Richard Zimmerman, Chandan Krishna, Devi Patra, Naresh Patel, Mark Lyons, Matthew Neal, Kliment Donev, Maciej Mrugala, Alyx Porter, Scott Beeman, Todd Jensen, Kathleen Schmainda, Yuxiang Zhou, Leslie Baxter, Christopher Plaisier, Jing Li, Hu Li, Anna Lasorella, C Quarles, Kristin Swanson, Michele Ceccarelli, Antonio Iavarone, and Nhan Tran
An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients (Frontiers in Oncology, 2023)
Kamila Bond, Lee Curtin, Sara Ranjbar, Ariana E Afshari, Leland S Hu, Joshua B Rubin, Kristin R Swanson
Weakly-Supervised Transfer Learning with Application in Precision Medicine (IEEE Transactions on Automation Science and Engineering, 2023)
Lingchao Mao, Lujia Wang, Leland S. Hu, Jenny M. Eschbacher, Gustavo De Leon, Kyle W. Singleton, Lee Curtin, Javier Urcuyo, Chris Sereduk, Nhan L. Tran, Andrea Hawkins-Daarud, Kristin R. Swanson, Jing Li
Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients (Frontiers in Neuroimaging, 2022)
Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Cassandra R. Rickertsen, Lisa E. Paulson, Leland S. Hu, J. Ross Mitchell, Kristin R. Swanson
Shape matters: morphological metrics of glioblastoma imaging abnormalities as biomarkers of prognosis (Scientific Reports, 2021)
Lee Curtin, Paula Whitmire, Haylye White, Kamila M. Bond, Maciej M. Mrugala, Leland S. Hu, Kristin R. Swanson
Assessment of Prognostic Value of Cystic Features in Glioblastoma Relative to Sex and Treatment with Standard-of-Care (Frontiers in Oncology 2020)
Lee Curtin, Paula Whitmire, Cassandra R. Rickertsen, Peter Canoll, Maciej M. Mrugula, Kristin R. Swanson, Leland S. Hu
A Mechanistic Investigation into Ischemia-Driven Distal Recurrence of Glioblastoma (Bulletin of Mathematical Biology, 2020)
Lee Curtin, Andrea Hawkins-Daarud, Alyx B. Porter, Kristoffer G. van der Zee, Markus R. Owen, Kristin R. Swanson
Learning Equations from Biological Data with Limited Time Samples (Bulletin of Mathematical Biology, 2020)
John T. Nardini, John H. Lagergren, Andrea Hawkins-Daarud, Lee Curtin, Bethan Morris, Erica M. Rutter, Kristin R. Swanson, Kevin B. Flores
Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations (Mathematical Biosciences and Engineering, 2020)
Bethan Morris, Lee Curtin, Andrea Hawkins-Daarud, Matthew E. Hubbard, Ruman Rahman, Stuart J. Smith, Dorothee Auer, Nhan L. Tran, Leland S. Hu, Jennifer M. Eschbacher, Kris A. Smith, Ashley Stokes, Kristin R. Swanson, Markus R. Owen
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients (BMC Cancer, 2020)
Paula Whitmire, Cassandra R Rickertsen, Andrea Hawkins-Daarud, Eduardo Carrasco, Julia Lorence, Gustavo De Leon, Lee Curtin, Spencer Bayless, Kamala Clark-Swanson, Noah C Peeri, Christina Corpuz, Christine Paula Lewis-de los Angeles, Bernard R Bendok, Luis Gonzalez-Cuyar, Sujay Vora, Maciej Mrugala, Leland S Hu, Lei Wang, Alyx Porter, Priya Kumthekar, Sandra K Johnston, Kathleen M Egan, Robert Gatenby, Peter Canoll, Joshua B Rubin, Kristin R. Swanson
Speed Switch in Glioblastoma Growth Rate due to Enhanced Hypoxia-Induced Migration (Bulletin of Mathematical Biology, 2020)
Lee Curtin, Andrea Hawkins-Daarud, Kristoffer G. van der Zee, Kristin R. Swanson, Markus R. Owen
Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs (Lecture Notes in Computer Science, 2019)
Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Susan Christine Massey, Andrea Hawkins-Daarud, Pamela R. Jackson, Kristin R. Swanson