Thomas E. Yankeelov
Orcid: 0000-0001-6201-3913
According to our database1,
Thomas E. Yankeelov
authored at least 35 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.
IEEE Trans. Medical Imaging, October, 2023
Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.
J. Comput. Sci., May, 2023
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.
Frontiers Artif. Intell., February, 2023
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., January, 2023
Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model.
CoRR, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data.
CoRR, 2023
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
2022
Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics.
IEEE Trans. Biomed. Eng., 2022
Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules.
PLoS Comput. Biol., 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.
CoRR, 2022
2021
Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging.
IEEE Trans. Biomed. Eng., 2021
Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth.
PLoS Comput. Biol., 2021
An <i>in silico</i> validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.
Medical Image Anal., 2021
CoRR, 2021
Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics.
Bioinform., 2021
Simulating the spread of COVID-19 <i>via</i> a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion.
Appl. Math. Lett., 2021
2020
Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.
IEEE Trans. Medical Imaging, 2020
Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion.
CoRR, 2020
2017
Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast.
Int. J. Biomed. Imaging, 2017
2016
Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2015
Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI.
Int. J. Comput. Assist. Radiol. Surg., 2015
Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Voxel-level reproducibility assessment of modality independent elastography in a pre-clinical murine model.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Image to physical space registration of supine breast MRI for image guided breast surgery.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.
J. Am. Medical Informatics Assoc., 2013
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations.
Int. J. Biomed. Imaging, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI.
IEEE Trans. Medical Imaging, 2012
Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods.
Int. J. Biomed. Imaging, 2012
Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012
2009
Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer.
J. Digit. Imaging, 2009
Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
2007
Constrained non-rigid registration for whole body image registration: method and validation.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006