Validating the predictions of mathematical models describing tumor growth and treatment response. - Lorenzo, Guillermo; Hormuth, David A., II; Wu, Chengyue; Pash, Graham; Chaudhuri, Anirban; Lima, Ernesto A. B. F.; Okereke, Lois C.; Patel, Reshmi; Willcox, Karen; Yankeelov, Thomas E. (CoRR, 2025)

Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma. - Wu, Chengyue; Hormuth, David A.; Christenson, Chase; Woodall, Ryan T.; Abdelmalik, Michael R. A.; Phillips, William T.; Hughes, Thomas J. R.; Brenner, Andrew J.; Yankeelov, Thomas E. (Comput. Biol. Medicine, 2024)

Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States. - Davarci, Orhun O.; Yang, Emily Y.; Viguerie, Alexander; Yankeelov, Thomas E.; Lorenzo, Guillermo (Eng. Comput., 2024)

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. - Lorenzo, Guillermo; Jarrett, Angela M.; Meyer, Christian T.; DiCarlo, Julie C.; Virostko, John; Quaranta, Vito; Tyson, Darren R.; Yankeelov, Thomas E. (Eng. Comput., 2024)

Toward mechanistic medical digital twins: some use cases in immunology. - Laubenbacher, Reinhard C.; Adler, Fred; An, Gary; Castiglione, Filippo; Eubank, Stephen; Fonseca, Luis L.; Glazier, James A.; Helikar, Tomás; Jett-Tilton, Marti; Kirschner, Denise; Macklin, Paul; Mehrad, Borna; et al. (Frontiers Digit. Health, 2024)

Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition. - Christenson, Chase; Wu, Chengyue; Hormuth, David A.; Stowers, Casey E.; LaMonica, Megan; Ma, Jingfei; Rauch, Gaiane M.; Yankeelov, Thomas E. (J. Comput. Sci., 2024)

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. - Chaudhuri, Anirban; Pash, Graham; Hormuth, David A.; Lorenzo, Guillermo; Kapteyn, Michael G.; Wu, Chengyue; Lima, Ernesto A. B. F.; Yankeelov, Thomas E.; Willcox, Karen (Frontiers Artif. Intell., 2023)

Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. - Phillips, Caleb M.; Lima, Ernesto A. B. F.; Wu, Chengyue; Jarrett, Angela M.; Zhou, Z.; Elshafeey, N.; Ma, J.; Rauch, Greta; Yankeelov, Thomas E. (J. Comput. Sci., 2023)

Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis. - Phillips, Caleb M.; Lima, Ernesto A. B. F.; Gadde, Manasa; Jarrett, Angela M.; Rylander, Marissa Nichole; Yankeelov, Thomas E. (PLoS Comput. Biol., 2023)

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. - Liang, Baoshan; Tan, Jingye; Lozenski, Luke; Hormuth, David A.; Yankeelov, Thomas E.; Villa, Umberto; Faghihi, Danial (IEEE Trans. Medical Imaging, 2023)

Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma. - Wu, Chengyue; Hormuth, David A.; Christenson, Chase; Woodall, Ryan T.; Abdelmalik, Michael R. A.; Phillips, William T.; Hughes, Thomas J. R.; Brenner, Andrew J.; Yankeelov, Thomas E. (2023)

Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. - Chaudhuri, Anirban; Pash, Graham; Hormuth, David A., II; Lorenzo, Guillermo; Kapteyn, Michael G.; Wu, Chengyue; Lima, Ernesto A. B. F.; Yankeelov, Thomas E.; Willcox, Karen (CoRR, 2023)

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data. - Lorenzo, Guillermo; Ahmed, Syed Rakin; Hormuth, David A., II; Vaughn, Brenna; Kalpathy-Cramer, Jayashree; Solorio, Luis; Yankeelov, Thomas E.; Gómez, Héctor (CoRR, 2023)

Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model. - Lorenzo, Guillermo; Heiselman, Jon S.; Liss, Michael A.; Miga, Michael I.; Gómez, Héctor; Yankeelov, Thomas E.; Reali, Alessandro; Hughes, Thomas J. R. (CoRR, 2023)

Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules. - Howard, Grant R.; Jost, Tyler A.; Yankeelov, Thomas E.; Brock, Amy (PLoS Comput. Biol., 2022)

Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. - Wu, Chengyue; Hormuth, David A.; Lorenzo, Guillermo; Jarrett, Angela M.; Pineda, Federico; Howard, Frederick M.; Karczmar, Gregory S.; Yankeelov, Thomas E. (IEEE Trans. Biomed. Eng., 2022)

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. - Liang, Baoshan; Tan, Jingye; Lozenski, Luke; Hormuth, David A., II; Yankeelov, Thomas E.; Villa, Umberto; Faghihi, Danial (CoRR, 2022)

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. - Lorenzo, Guillermo; Jarrett, Angela M.; Meyer, Christian T.; Quaranta, Vito; Tyson, Darren R.; Yankeelov, Thomas E. (CoRR, 2022)

Simulating the spread of COVID-19 via a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. - Viguerie, Alex; Lorenzo, Guillermo; Auricchio, Ferdinando; Baroli, Davide; Hughes, Thomas J. R.; Patton, Alessia; Reali, Alessandro; Yankeelov, Thomas E.; Veneziani, Alessandro (Appl. Math. Lett., 2021)

Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics. - Kim, Mirae; Hong, Soonwoo; Yankeelov, Thomas E.; Yeh, Hsin-Chih; Liu, Yen-Liang (Bioinform., 2021)

An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. - Wu, Chengyue; Hormuth, David A., II; Easley, Ty; Eijkhout, Victor; Pineda, Federico; Karczmar, Gregory S.; Yankeelov, Thomas E. (Medical Image Anal., 2021)

Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. - Lima, Ernesto A. B. F.; Faghihi, Danial; Philley, Russell; Yang, Jianchen; Virostko, John; Phillips, Caleb M.; Yankeelov, Thomas E. (PLoS Comput. Biol., 2021)

Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging. - Tunç, Birkan; Hormuth, David A., II; Biros, George; Yankeelov, Thomas E. (IEEE Trans. Biomed. Eng., 2021)

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. - Lorenzo, Guillermo; Hormuth, David A., II; Jarrett, Angela M.; Lima, Ernesto A. B. F.; Subramanian, Shashank; Biros, George; Oden, J. Tinsley; Hughes, Thomas J. R.; Yankeelov, Thomas E. (CoRR, 2021)

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. - Wu, Chengyue; Hormuth, David A.; Oliver, Todd A.; Pineda, Federico; Lorenzo, Guillermo; Karczmar, Gregory S.; Moser, Robert D.; Yankeelov, Thomas E. (IEEE Trans. Medical Imaging, 2020)

Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. - Viguerie, Alex; Lorenzo, Guillermo; Auricchio, Ferdinando; Baroli, Davide; Hughes, Thomas J. R.; Patton, Alessia; Reali, Alessandro; Yankeelov, Thomas E.; Veneziani, Alessandro (CoRR, 2020)

Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. - Wang, Dong; Arlinghaus, Lori R.; Yankeelov, Thomas E.; Yang, Xiaoping; Smith, David S. (Int. J. Biomed. Imaging, 2017)

Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data. - DeGrandchamp, Joseph B.; Whisenant, Jennifer G.; Arlinghaus, Lori R.; Abramson, Vandana G.; Yankeelov, Thomas E.; Cárdenas-Rodríguez, Julio (2016)

Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. - Conley, Rebekah H.; Meszoely, Ingrid M.; Weis, Jared A.; Pheiffer, Thomas S.; Arlinghaus, Lori R.; Yankeelov, Thomas E.; Miga, Michael I. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness. - Weis, Jared A.; Johnsen, Allison M.; Wile, Geoffrey E.; Yankeelov, Thomas E.; Abramson, Richard G.; Miga, Michael I. (2015)

Voxel-level reproducibility assessment of modality independent elastography in a pre-clinical murine model. - Flint, Katelyn M.; Weis, Jared A.; Yankeelov, Thomas E.; Miga, Michael I. (2015)

Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer. - Barnes, Stephanie L.; Whisenant, Jennifer G.; Li, Xia; Yankeelov, Thomas E. (2014)

Image to physical space registration of supine breast MRI for image guided breast surgery. - Conley, Rebekah H.; Meszoely, Ingrid M.; Pheiffer, Thomas S.; Weis, Jared A.; Yankeelov, Thomas E.; Miga, Michael I. (2014)

Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations. - Fluckiger, Jacob U.; Li, Xia; Whisenant, Jennifer G.; Peterson, Todd E.; Gore, John C.; Yankeelov, Thomas E. (Int. J. Biomed. Imaging, 2013)

Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. - Mani, Subramani; Chen, Yukun; Li, Xia; Arlinghaus, Lori R.; Chakravarthy, A. Bapsi; Abramson, Vandana G.; Bhave, Sandeep R.; Levy, Mia A.; Xu, Hua; Yankeelov, Thomas E. (J. Am. Medical Informatics Assoc., 2013)

Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. - Smith, David S.; Arlinghaus, Lori R.; Yankeelov, Thomas E.; Welch, Edward B. (2013)

Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. - Smith, David S.; Gore, John C.; Yankeelov, Thomas E.; Welch, E. Brian (Int. J. Biomed. Imaging, 2012)

Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI. - Smith, David S.; Li, Xia; Gambrell, James V.; Arlinghaus, Lori R.; Quarles, Christopher Chad; Yankeelov, Thomas E.; Welch, E. Brian (IEEE Trans. Medical Imaging, 2012)

Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy. - Li, Xia; Arlinghaus, Lori R.; Chakravarthy, A. Bapsi; Farley, Jaime; Mayer, Ingrid A.; Abramson, Vandana G.; Kelley, Mark C.; Meszoely, Ingrid M.; Means-Powell, Julie; Yankeelov, Thomas E. (2012)

Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer. - Lee, Robert E.; Welch, E. Brian; Cobb, Jared G.; Sinha, Tuhin; Gore, John C.; Yankeelov, Thomas E. (J. Digit. Imaging, 2009)

Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. - Li, Xia; Dawant, Benoit M.; Welch, E. Brian; Chakravarthy, A. Bapsi; Freehardt, Darla; Mayer, Ingrid A.; Kelley, Mark C.; Meszoely, Ingrid M.; Gore, John C.; Yankeelov, Thomas E. (2009)

Constrained non-rigid registration for whole body image registration: method and validation. - Li, Xia; Yankeelov, Thomas E.; Peterson, Todd E.; Gore, John C.; Dawant, Benoit M. (2007)

Multi-modal inter-subject registration of mouse brain images. - Li, Xia; Yankeelov, Thomas E.; Rosen, Glenn D.; Gore, John C.; Dawant, Benoit M. (2006)