Publications

Fractal-Based Morphometrics of Glioblastoma. In: Di Ieva, A. The Fractal Geometry of the Brain (Advances in Neurobiology, 2024)

Lee Curtin

doi.org/10.1007/978-3-031-47606-8_28

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

doi.org/10.1371/journal.pone.0299267

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

doi.org/10.1371/journal.pone.0287767

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

doi.org/10.1038/s41467-023-41559-1

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

doi.org/10.3389/fonc.2023.1185738

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

doi.org/10.1109/TASE.2023.3323773

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

doi.org/10.3389/fnimg.2022.832512