Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
MD, University of Minnesota Twin Cities
Award Date: May 7 2011
PhD, University of Minnesota Twin Cities
Award Date: Dec 31 2009
Research Interest Keywords
- 3D printing
- Radiomics
- Head and neck cancer
- CNS tumors
- Radiation oncology
- Big data
- Machine learning
- Computational modeling
Fingerprint
The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Projects
- 1 Active
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Evaluation of disparities in oncology care among the LGBTQ community
Rider, G. N., Tebbe, E. A., Terezakis, S. & Wilke, C. T.
8/1/20 → 7/31/22
Project: Research project
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Predicting Glioblastoma Cellular Motility from In Vivo MRI with a Radiomics Based Regression Model
Mulford, K., Mcmahon, M., Gardeck, A. M., Hunt, M., Chen, C. C., Odde, D. J. & Wilke, C., Feb 1 2022, In: Cancers. 14, 3, 578.Research output: Contribution to journal › Article › peer-review
Open Access -
Stereotactic Laser Ablation (SLA) followed by consolidation stereotactic radiosurgery (cSRS) as treatment for brain metastasis that recurred locally after initial radiosurgery (BMRS): a multi-institutional experience
Peña Pino, I., Ma, J., Hori, Y. S., Fomchenko, E., Dusenbery, K., Reynolds, M., Wilke, C., Yuan, J., Srinivasan, E., Grabowski, M., Fecci, P., Domingo-musibay, E., Fujioka, N., Barnett, G. H., Chang, V., Mohammadi, A. M. & Chen, C. C., Jan 2022, In: Journal of neuro-oncology. 156, 2, p. 295-306 12 p.Research output: Contribution to journal › Article › peer-review
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A radiomics-based model for predicting local control of resected brain metastases receiving adjuvant SRS
Mulford, K., Chen, C., Dusenbery, K., Yuan, J., Hunt, M. A., Chen, C. C., Sperduto, P., Watanabe, Y. & Wilke, C., Jul 2021, In: Clinical and Translational Radiation Oncology. 29, p. 27-32 6 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Computed tomography radiomic features hold prognostic utility for canine lung tumors: An analytical study
Able, H., Wolf-Ringwall, A., Rendahl, A., Ober, C. P., Seelig, D. M., Wilke, C. T. & Lawrence, J., Aug 2021, In: PloS one. 16, 8 August, e0256139.Research output: Contribution to journal › Article › peer-review
Open Access -
Defining the dose-volume criteria for laryngeal sparing in locally advanced oropharyngeal cancer utilizing split-field IMRT, whole-field IMRT and VMAT
Wilke, C., Takiar, V., Wang, H., Moreno, A. C., Tung, S. M. S., Quinlan-Davidson, S. R., Garden, A. S., Rosenthal, D. I., Fuller, C. D., Gunn, G. B., Reddy, J. P., Morrison, W. H., Wang, C., Zhao, G., Hutcheson, K. A. & Phan, J., Jan 2021, In: Journal of Applied Clinical Medical Physics. 22, 1, p. 37-44 8 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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CT radiomic features for canine primary lung tumors
Wolf-Ringwall, A. L., Rendahl, A., Seelig, D., Ober, C., Able, H., Wilke, C. T. & Lawrence, J., Data Repository for the University of Minnesota, Jul 20 2021
https://hdl.handle.net/11299/221999
Dataset