Zhao, B., Obuchowski, N., Yang, H., Chou, Y., Ma, H., Guo, P., Tang, Y., Schwartz, L., & Sullivan, D. (2025). Comparing quantitative imaging biomarker alliance volumetric CT classifications with RECIST response categories. Radiology Advances, 2(1). https://doi.org/10.1093/radadv/umaf001

Tian, L., Jaeger, B. C., Scialla, J. J., Budoff, M. J., Mehta, R. C., Jaar, B. G., Saab, G., Dobre, M. A., Reilly, M. P., Rader, D. J., Townsend, R. R., Lash, J. P., Greenland, P., Isakova, T., Bundy, J. D., Anderson, A. H., Appel, L. J., Chen, J., Cohen, D., … Unruh, M. L. (2024). Progression of Coronary Artery Calcification and Risk of Clinical Events in CKD: The Chronic Renal Insufficiency Cohort Study. American Journal of Kidney Diseases. https://doi.org/10.1053/j.ajkd.2024.06.018

Ma, J., Yoon, J. H., Lu, L., Yang, H., Guo, P., Yang, D., Li, J., Shen, J., Schwartz, L. H., & Zhao, B. (2024). A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning. Journal of Applied Clinical Medical Physics. Portico. https://doi.org/10.1002/acm2.14434

Shanbhag, A., Michalowska, A. N. N. A., Zhang, W. E. N. H. A. O., Miller, R. J. H., Lemley, M. A. R. K., Einstein, A. N. D. R. E. W., Liang, J. O. A. N. N. A., Builoff, V. A. L. E. R. I., Berman, D. A. N. I. E. L., Dey, D. A. M. I. N. I., & Slomka, P. I. O. T. R. (2024). Fully automated aortic diameter measurements on SPECT/CT attenuation maps in patients undergoing myocardial perfusion imaging. European Heart Journal - Cardiovascular Imaging, 25(Supplement_1). https://doi.org/10.1093/ehjci/jeae142.016

Wang, Y.-F., Price, M. J., Elliston, C. D., Munbodh, R., Spina, C. S., Horowitz, D. P., & Kachnic, L. A. (2024). Enhancing Safety in AI-Driven Cone Beam CT-based Online Adaptive Radiation Therapy: Development and Implementation of an Interdisciplinary Workflow. Advances in Radiation Oncology, 9(3), 101399. https://doi.org/10.1016/j.adro.2023.101399

Guha, S., Ibrahim, A., Wu, Q., Geng, P., Chou, Y., Yang, H., Ma, J., Lu, L., Wang, D., Schwartz, L. H., Xie, C., & Zhao, B. (2024). Machine learning-based identification of contrast-enhancement phase of computed tomography scans. PLOS ONE, 19(2), e0294581. https://doi.org/10.1371/journal.pone.0294581

Barbur, I., Anderson, N., Bhagat, R., Aranda-Michel, E., Bianco, V., Giuliano, K., Louis, C., & Blitzer, D. (2023). A Primer for Students Regarding Cardiothoracic Imaging: Primer 4 of 7. JTCVS Open, 14, 331–338. https://doi.org/10.1016/j.xjon.2023.04.019

Messenger, J. C., Strobel, A. L., Danenberg, H., De Vroey, F., Kirtane, A. J., Parikh, M. A., Karmpaliotis, D., Hennessey, B., Curcio, A., van Mourik, M., Eshuis, P., & Escaned, J. (2023). LB-1 | Real-World Evaluation of the Feasibility and Quality of PCI Guidance Using Dynamic Coronary Roadmap: A Secondary Analysis of the DCR4Contrast Multicenter, International Randomized Control Trial. Journal of the Society for Cardiovascular Angiography & Interventions, 2(3), 100638. https://doi.org/10.1016/j.jscai.2023.100638

Weinstein, H. N. W., Lang, F. M., Barrett, C., Lampe, A., Sevensky, R., Fields, L., Leschly, K., Argenziano, M., & Rentrop, K. P. (2023). EFFECT OF REVASCULARIZATION VERSUS OPTIMAL MEDICAL THERAPY ALONE ON CORONARY FLOW CAPACITY DERIVED FROM SERIAL PET IMAGING STUDIES. Journal of the American College of Cardiology, 81(8), 1410. https://doi.org/10.1016/s0735-1097(23)01854-5

Ibrahim, A., Lu, L., Yang, H., Akin, O., Schwartz, L. H., & Zhao, B. (2022). The Impact of Image Acquisition Parameters and ComBat Harmonization on the Predictive Performance of Radiomics: A Renal Cell Carcinoma Model. Applied Sciences, 12(19), 9824. https://doi.org/10.3390/app12199824

Lemus, O. M. D., Wang, Y., Li, F., Jambawalikar, S., Horowitz, D. P., Xu, Y., & Wuu, C. (2022). Dosimetric assessment of patient dose calculation on a deep learning‐based synthesized computed tomography image for adaptive radiotherapy. Journal of Applied Clinical Medical Physics, 23(7). Portico. https://doi.org/10.1002/acm2.13595

Refaee, T., Salahuddin, Z., Widaatalla, Y., Primakov, S., Woodruff, H. C., Hustinx, R., Mottaghy, F. M., Ibrahim, A., & Lambin, P. (2022). CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features. Journal of Personalized Medicine, 12(4), 553. https://doi.org/10.3390/jpm12040553