Thomas E. Yankeelov

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 30

Top Topics

Patient Outcomes

Contrast Enhanced

Computational Fluid Dynamics

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

PLoS Comput. Biol.

Publications

Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Julie C. DiCarlo, John Virostko, Vito Quaranta, Darren R. Tyson, Thomas E. Yankeelov
A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data. Eng. Comput. 40 (3) (2024)
Orhun O. Davarci, Emily Y. Yang, Alexander Viguerie, Thomas E. Yankeelov, Guillermo Lorenzo
Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States. Eng. Comput. 40 (2) (2024)
Chase Christenson, Chengyue Wu, David A. Hormuth, Casey E. Stowers, Megan LaMonica, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition. J. Comput. Sci. 82 (2024)
Reinhard C. Laubenbacher, Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luis L. Fonseca, James A. Glazier, Tomás Helikar, Marti Jett-Tilton, Denise Kirschner, Paul Macklin, Borna Mehrad, Beth Moore, Virginia Pasour, Ilya Shmulevich, Amber Smith, Isabel Voigt, Thomas E. Yankeelov, Tjalf Ziemssen
Toward mechanistic medical digital twins: some use cases in immunology. Frontiers Digit. Health 6 (2024)
Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma. Comput. Biol. Medicine 179 (2024)
Caleb M. Phillips, Ernesto A. B. F. Lima, C. Wu, Angela M. Jarrett, Z. Zhou, N. Elshafeey, J. Ma, Greta Rauch, Thomas E. Yankeelov
Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. J. Comput. Sci. 69 (2023)
Anirban Chaudhuri, Graham Pash, David A. Hormuth II, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR (2023)
Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma. SC Workshops (2023)
Caleb M. Phillips, Ernesto A. B. F. Lima, Manasa Gadde, Angela M. Jarrett, Marissa Nichole Rylander, Thomas E. Yankeelov
Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis. PLoS Comput. Biol. 19 (1) (2023)
Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. IEEE Trans. Medical Imaging 42 (10) (2023)
Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. 6 (2023)
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth II, Brenna Vaughn, Jayashree Kalpathy-Cramer, Luis Solorio, Thomas E. Yankeelov, Héctor Gómez
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data. CoRR (2023)
Guillermo Lorenzo, Jon S. Heiselman, Michael A. Liss, Michael I. Miga, Héctor Gómez, Thomas E. Yankeelov, Alessandro Reali, Thomas J. R. Hughes
Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model. CoRR (2023)
Grant R. Howard, Tyler A. Jost, Thomas E. Yankeelov, Amy Brock
Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules. PLoS Comput. Biol. 18 (3) (2022)
Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth II, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. CoRR (2022)
Chengyue Wu, David A. Hormuth, Guillermo Lorenzo, Angela M. Jarrett, Federico Pineda, Frederick M. Howard, Gregory S. Karczmar, Thomas E. Yankeelov
Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. IEEE Trans. Biomed. Eng. 69 (11) (2022)
Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Vito Quaranta, Darren R. Tyson, Thomas E. Yankeelov
Identifying mechanisms driving the early response of triple negative breast cancer patients to neoadjuvant chemotherapy using a mechanistic model integrating in vitro and in vivo imaging data. CoRR (2022)
Birkan Tunç, David A. Hormuth II, George Biros, Thomas E. Yankeelov
Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Chengyue Wu, David A. Hormuth II, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov
validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Medical Image Anal. 73 (2021)
Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J. R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani
a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. Appl. Math. Lett. 111 (2021)
Mirae Kim, Soonwoo Hong, Thomas E. Yankeelov, Hsin-Chih Yeh, Yen-Liang Liu
Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics. Bioinform. 38 (1) (2021)
Ernesto A. B. F. Lima, Danial Faghihi, Russell Philley, Jianchen Yang, John Virostko, Caleb M. Phillips, Thomas E. Yankeelov
Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. PLoS Comput. Biol. 17 (11) (2021)
Guillermo Lorenzo, David A. Hormuth II, Angela M. Jarrett, Ernesto A. B. F. Lima, Shashank Subramanian, George Biros, J. Tinsley Oden, Thomas J. R. Hughes, Thomas E. Yankeelov
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. CoRR (2021)
Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J. R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani
Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. CoRR (2020)
Chengyue Wu, David A. Hormuth, Todd A. Oliver, Federico Pineda, Guillermo Lorenzo, Gregory S. Karczmar, Robert D. Moser, Thomas E. Yankeelov
Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Trans. Medical Imaging 39 (9) (2020)
Dong Wang, Lori R. Arlinghaus, Thomas E. Yankeelov, Xiaoping Yang, David S. Smith
Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. Int. J. Biomed. Imaging 2017 (2017)
Joseph B. DeGrandchamp, Jennifer G. Whisenant, Lori R. Arlinghaus, Vandana G. Abramson, Thomas E. Yankeelov, Julio Cárdenas-Rodríguez
Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Katelyn M. Flint, Jared A. Weis, Thomas E. Yankeelov, Michael I. Miga
Voxel-level reproducibility assessment of modality independent elastography in a pre-clinical murine model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Jared A. Weis, Allison M. Johnsen, Geoffrey E. Wile, Thomas E. Yankeelov, Richard G. Abramson, Michael I. Miga
Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Rebekah H. Conley, Ingrid M. Meszoely, Jared A. Weis, Thomas S. Pheiffer, Lori R. Arlinghaus, Thomas E. Yankeelov, Michael I. Miga
Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. Int. J. Comput. Assist. Radiol. Surg. 10 (12) (2015)
Rebekah H. Conley, Ingrid M. Meszoely, Thomas S. Pheiffer, Jared A. Weis, Thomas E. Yankeelov, Michael I. Miga
Image to physical space registration of supine breast MRI for image guided breast surgery. Medical Imaging: Image-Guided Procedures (2014)
Stephanie L. Barnes, Jennifer G. Whisenant, Xia Li, Thomas E. Yankeelov
Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer. EMBC (2014)
Subramani Mani, Yukun Chen, Xia Li, Lori R. Arlinghaus, A. Bapsi Chakravarthy, Vandana G. Abramson, Sandeep R. Bhave, Mia A. Levy, Hua Xu, Thomas E. Yankeelov
Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. J. Am. Medical Informatics Assoc. 20 (4) (2013)
David S. Smith, Lori R. Arlinghaus, Thomas E. Yankeelov, Edward B. Welch
Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. Medical Imaging: Image Processing (2013)
Jacob U. Fluckiger, Xia Li, Jennifer G. Whisenant, Todd E. Peterson, John C. Gore, Thomas E. Yankeelov
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations. Int. J. Biomed. Imaging 2013 (2013)
David S. Smith, Xia Li, James V. Gambrell, Lori R. Arlinghaus, Christopher Chad Quarles, Thomas E. Yankeelov, E. Brian Welch
Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI. IEEE Trans. Medical Imaging 31 (2) (2012)
Xia Li, Lori R. Arlinghaus, A. Bapsi Chakravarthy, Jaime Farley, Ingrid A. Mayer, Vandana G. Abramson, Mark C. Kelley, Ingrid M. Meszoely, Julie Means-Powell, Thomas E. Yankeelov
Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy. WBIR (2012)
David S. Smith, John C. Gore, Thomas E. Yankeelov, E. Brian Welch
Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. Int. J. Biomed. Imaging 2012 (2012)
Robert E. Lee, E. Brian Welch, Jared G. Cobb, Tuhin Sinha, John C. Gore, Thomas E. Yankeelov
Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer. J. Digit. Imaging 22 (4) (2009)
Xia Li, Benoit M. Dawant, E. Brian Welch, A. Bapsi Chakravarthy, Darla Freehardt, Ingrid A. Mayer, Mark C. Kelley, Ingrid M. Meszoely, John C. Gore, Thomas E. Yankeelov
Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. Medical Imaging: Image Processing (2009)
Xia Li, Thomas E. Yankeelov, Todd E. Peterson, John C. Gore, Benoit M. Dawant
Constrained non-rigid registration for whole body image registration: method and validation. Medical Imaging: Image Processing (2007)
Xia Li, Thomas E. Yankeelov, Glenn D. Rosen, John C. Gore, Benoit M. Dawant
Multi-modal inter-subject registration of mouse brain images. Medical Imaging: Image Processing (2006)