Research
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- Rubin, D. L., Willrett, D., O'Connor, M. J., Hage, C., Kurtz, C., & Moreira, D. A. (2014). Automated tracking of quantitative assessments of tumor burden in clinical trials. Translational oncology, 7(1), 23–35. https://doi.org/10.1593/tlo.13796
- Schaer, R., Cid, Y. D., Alkim, E., John, S., Rubin, D. L., & Depeursinge, A. (2017). Web-based tools for exploring the potential of quantitative imaging biomarkers in radiology: Intensity and texture analysis on the epad platform. In Biomedical Texture Analysis (pp. 379-410). Academic Press.
- Rubin, D. L., Akdogan, M. U., Altindag, C., & Alkim, E. (2019). ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging. Tomography, 5(1), 170–183. https://doi.org/10.18383/j.tom.2018.00055
- U24 Project (Baylor College of Medicine*/UT Austin/Stanford): Integrating Omics and Quantitative Imaging Data in Co-Clinical Trials to Predict Treatment Response in Triple Negative Breast Cancer