Thomas E. Yankeelov

46 papers B 4Journal 35Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens. npj Digit. Medicine Chengyue Wu, Ernesto A. B. F. Lima, Casey E. Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov
2025	J	`jnl`	Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology. CoRR Graham Pash, Umberto Villa, David A. Hormuth II, Thomas E. Yankeelov, Karen Willcox
2025	J	`jnl`	TumorTwin: A python framework for patient-specific digital twins in oncology. CoRR Michael G. Kapteyn, Anirban Chaudhuri, Ernesto A. B. F. Lima, Graham Pash, Rafael Bravo, Karen Willcox, Thomas E. Yankeelov, David A. Hormuth II
2025	J	`jnl`	Validating the predictions of mathematical models describing tumor growth and treatment response. CoRR Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Graham Pash, Anirban Chaudhuri, Ernesto A. B. F. Lima, Lois C. Okereke, Reshmi Patel, Karen Willcox, Thomas E. Yankeelov
2024	J	`jnl`	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. Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Julie C. DiCarlo, John Virostko, Vito Quaranta, Darren R. Tyson, Thomas E. Yankeelov
2024	J	`jnl`	Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States. Eng. Comput. Orhun O. Davarci, Emily Y. Yang, Alexander Viguerie, Thomas E. Yankeelov, Guillermo Lorenzo
2024	J	`jnl`	Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition. J. Comput. Sci. Chase Christenson, Chengyue Wu, David A. Hormuth, Casey E. Stowers, Megan LaMonica, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov
2024	J	`jnl`	Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma. Comput. Biol. Medicine 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
2024	J	`jnl`	Toward mechanistic medical digital twins: some use cases in immunology. Frontiers Digit. Health 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
2023	J	`jnl`	Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. J. Comput. Sci. Caleb M. Phillips, Ernesto A. B. F. Lima, Chengyue Wu, Angela M. Jarrett, Z. Zhou, N. Elshafeey, J. Ma, Greta Rauch, Thomas E. Yankeelov
2023	J	`jnl`	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. IEEE Trans. Medical Imaging Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
2023	—	`conf`	Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma. SC Workshops 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
2023	J	`jnl`	Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model. CoRR Guillermo Lorenzo, Jon S. Heiselman, Michael A. Liss, Michael I. Miga, Héctor Gómez, Thomas E. Yankeelov, Alessandro Reali, Thomas J. R. Hughes
2023	J	`jnl`	Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data. CoRR Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth II, Brenna Vaughn, Jayashree Kalpathy-Cramer, Luis Solorio, Thomas E. Yankeelov, Héctor Gómez
2023	J	`jnl`	Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR 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
2023	J	`jnl`	Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
2023	J	`jnl`	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. Caleb M. Phillips, Ernesto A. B. F. Lima, Manasa Gadde, Angela M. Jarrett, Marissa Nichole Rylander, Thomas E. Yankeelov
2022	J	`jnl`	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. CoRR Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth II, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
2022	J	`jnl`	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 Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Vito Quaranta, Darren R. Tyson, Thomas E. Yankeelov
2022	J	`jnl`	Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules. PLoS Comput. Biol. Grant R. Howard, Tyler A. Jost, Thomas E. Yankeelov, Amy Brock
2022	J	`jnl`	Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. IEEE Trans. Biomed. Eng. Chengyue Wu, David A. Hormuth, Guillermo Lorenzo, Angela M. Jarrett, Federico Pineda, Frederick M. Howard, Gregory S. Karczmar, Thomas E. Yankeelov
2021	J	`jnl`	An Medical Image Anal. Chengyue Wu, David A. Hormuth II, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov
2021	J	`jnl`	Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. PLoS Comput. Biol. Ernesto A. B. F. Lima, Danial Faghihi, Russell Philley, Jianchen Yang, John Virostko, Caleb M. Phillips, Thomas E. Yankeelov
2021	J	`jnl`	Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics. Bioinform. Mirae Kim, Soonwoo Hong, Thomas E. Yankeelov, Hsin-Chih Yeh, Yen-Liang Liu
2021	J	`jnl`	Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. Birkan Tunç, David A. Hormuth II, George Biros, Thomas E. Yankeelov
2021	J	`jnl`	Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. CoRR 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
2021	J	`jnl`	Simulating the spread of COVID-19 Appl. Math. Lett. Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J. R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani
2020	J	`jnl`	Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Trans. Medical Imaging Chengyue Wu, David A. Hormuth, Todd A. Oliver, Federico Pineda, Guillermo Lorenzo, Gregory S. Karczmar, Robert D. Moser, Thomas E. Yankeelov
2020	J	`jnl`	Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. CoRR Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J. R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani
2017	J	`jnl`	Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. Int. J. Biomed. Imaging Dong Wang, Lori R. Arlinghaus, Thomas E. Yankeelov, Xiaoping Yang, David S. Smith
2016	—	`conf`	Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data. Biomedical Applications in Molecular, Structural, and Functional Imaging Joseph B. DeGrandchamp, Jennifer G. Whisenant, Lori R. Arlinghaus, Vandana G. Abramson, Thomas E. Yankeelov, Julio Cárdenas-Rodríguez
2015	—	`conf`	Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness. Biomedical Applications in Molecular, Structural, and Functional Imaging Jared A. Weis, Allison M. Johnsen, Geoffrey E. Wile, Thomas E. Yankeelov, Richard G. Abramson, Michael I. Miga
2015	J	`jnl`	Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. Int. J. Comput. Assist. Radiol. Surg. Rebekah H. Conley, Ingrid M. Meszoely, Jared A. Weis, Thomas S. Pheiffer, Lori R. Arlinghaus, Thomas E. Yankeelov, Michael I. Miga
2015	—	`conf`	Voxel-level reproducibility assessment of modality independent elastography in a pre-clinical murine model. Biomedical Applications in Molecular, Structural, and Functional Imaging Katelyn M. Flint, Jared A. Weis, Thomas E. Yankeelov, Michael I. Miga
2014	—	`conf`	Image to physical space registration of supine breast MRI for image guided breast surgery. Image-Guided Procedures Rebekah H. Conley, Ingrid M. Meszoely, Thomas S. Pheiffer, Jared A. Weis, Thomas E. Yankeelov, Michael I. Miga
2014	—	`conf`	Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer. EMBC Stephanie L. Barnes, Jennifer G. Whisenant, Xia Li, Thomas E. Yankeelov
2013	B	`conf`	Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. Image Processing David S. Smith, Lori R. Arlinghaus, Thomas E. Yankeelov, Edward B. Welch
2013	J	`jnl`	Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. J. Am. Medical Informatics Assoc. 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
2013	J	`jnl`	Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations. Int. J. Biomed. Imaging Jacob U. Fluckiger, Xia Li, Jennifer G. Whisenant, Todd E. Peterson, John C. Gore, Thomas E. Yankeelov
2012	—	`conf`	Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy. WBIR 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
2012	J	`jnl`	Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. Int. J. Biomed. Imaging David S. Smith, John C. Gore, Thomas E. Yankeelov, E. Brian Welch
2012	J	`jnl`	Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI. IEEE Trans. Medical Imaging David S. Smith, Xia Li, James V. Gambrell, Lori R. Arlinghaus, Christopher Chad Quarles, Thomas E. Yankeelov, E. Brian Welch
2009	J	`jnl`	Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer. J. Digit. Imaging Robert E. Lee, E. Brian Welch, Jared G. Cobb, Tuhin Sinha, John C. Gore, Thomas E. Yankeelov
2009	B	`conf`	Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. Image Processing 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
2007	B	`conf`	Constrained non-rigid registration for whole body image registration: method and validation. Image Processing Xia Li, Thomas E. Yankeelov, Todd E. Peterson, John C. Gore, Benoit M. Dawant
2006	B	`conf`	Multi-modal inter-subject registration of mouse brain images. Image Processing Xia Li, Thomas E. Yankeelov, Glenn D. Rosen, John C. Gore, Benoit M. Dawant