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Thomas E. Yankeelov

Observed names: T. E. Yankeelov, T.E. Yankeelov, Thomas E Yankeelov, Thomas Yankeelov
ORCID: 0000-0002-7022-0565
Observed ORCIDs: 0000-0002-7022-0565, 0000-0001-6201-3913
OpenAlex ID: A5103190036
The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge
2016 · Wei Huang, Yiyi Chen, et al. · Tomography · 77
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MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens
2025 · Chengyue Wu, Ernesto A. B. F. Lima, et al. · npj Digital Medicine · 38
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Quantitative MRI in Cancer
2011 · Thomas E. Yankeelov, David R. Pickens, et al. · CRC Press eBooks · 28
A critical assessment of artificial intelligence in magnetic resonance imaging of cancer
2025 · Chengyue Wu, Meryem Abbad Andaloussi, et al. · npj Imaging · 16
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Magnetic Resonance Angiography
2011 · Thomas E. Yankeelov, David R. Pickens, et al. · CRC Press eBooks · 16
The ISMRM Open Science Initiative for Perfusion Imaging ( OSIPI ): Results from the OSIPI–Dynamic Contrast‐Enhanced challenge
2023 · Eve S. Shalom, Harrison Kim, et al. · Magnetic Resonance in Medicine · 14
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Bloch–Siegert B1-Mapping Improves Accuracy and Precision of Longitudinal Relaxation Measurements in the Breast at 3 T
2016 · Jennifer G. Whisenant, Richard D. Dortch, et al. · Tomography · 14
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An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data
2022 · Kalina P. Slavkova, Julie C. DiCarlo, et al. · Magnetic Resonance in Medicine · 11
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Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer
2012 · Thomas E. Yankeelov · ISRN Biomathematics · 9
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Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition
2024 · Chase Christenson, Chengyue Wu, et al. · Journal of Computational Science · 7
Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based Modeling
2025 · David A. Hormuth, Maguy Farhat, et al. · International Journal of Radiation Oncology*Biology*Physics · 3
A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiation
2025 · Hugo J. M. Miniere, David A. Hormuth, et al. · BMC Cancer · 2
Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast
2022 · Julie C. DiCarlo, Angela M. Jarrett, et al. · Magnetic Resonance in Medicine · 2
Abstract PS11-07: Predicting the response of locally advanced breast cancer to neoadjuvant therapy using MRI-based mathematical modeling of the I-SPY 2 dataset
2025 · Reshmi Patel, Chengyue Wu, et al. · Clinical Cancer Research · 1
Effect of chemoradiation on high-grade gliomas can be forecasted by mid-treatment images via image-driven mathematical modeling
2024 · David Hormuth, Maguy Farhat, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 1
Quantitative imaging to guide mechanism-based modeling of cancer
2019 · David A. Hormuth, Matthew T. McKenna, et al. · Chapman & Hall/CRC eBooks · 1
Incorporating the Effects of Transcytolemmal Water Exchange in the Reference Region Model for DCE-MRI Analysis
2006 · Thomas E. Yankeelov, Laura M. DeBusk, et al. · 1
An MRI-informed poromechanical model for organ-scale prediction of glioma growth
2026 · M. Abbad Andaloussi, S. Urcun, et al. · Computer Methods in Applied Mechanics and Engineering
Additional file 2 of TumorTwin: a Python framework for patient-specific digital twins in oncology
2026 · Michael G. Kapteyn, Anirban Chaudhuri, et al. · Figshare
Additional file 3 of TumorTwin: a Python framework for patient-specific digital twins in oncology
2026 · Michael G. Kapteyn, Anirban Chaudhuri, et al. · Figshare
Additional file 1 of TumorTwin: a Python framework for patient-specific digital twins in oncology
2026 · Michael G. Kapteyn, Anirban Chaudhuri, et al. · Figshare
Abstract 6840: Developing a data assimilation framework to forecast patient-specific tumor burden in low-grade glioma.
2026 · Sophia Ty, Devika Shankar, et al. · Cancer Research
Abstract 6832: Toward personalized rotational multi-agent therapies to overcome treatment resistance in pancreatic cancer: A virtual trial framework in mice.
2026 · Krithik Vishwanath, Hoon Choi, et al. · Cancer Research
Predicting Combined Radiotherapy-immunotherapy Outcomes in Murine Tnbc Via Bayesian Calibration of Biology-based Ode Models and [89zr]-cd8 Pet Image
2026 · Guilherme Rodrigues, Paulo Fernando de Arruda Mancera, et al. · Hematology Transfusion and Cell Therapy
Abstract PS3-04-22: A mathematical framework to optimize combination therapy for triple-negative breast cancer in obese mice
2026 · K. Vishwanath, C. I. Crawford, et al. · Clinical Cancer Research
Works count: 35
Citation count: 241
H-index: 9
I10-index: 8
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