APA (7th ed.) Citation

M, V., S, R., JJ, P., RKG, D., AL, S., G, W., & B, D. M. (2026). Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastases. Medical physics, 53(5), e70500. https://doi.org/10.1002/mp.70500

Chicago Style (17th ed.) Citation

M, Venugopal, Ramani S, Peoples JJ, Do RKG, Simpson AL, Wang G, and De Man B. "Towards Quality Control and Harmonization of Deep Learning CT Radiomics: An In-silico Feasibility Study with Virtual Colorectal Liver Metastases." Medical Physics 53, no. 5 (2026): e70500. https://doi.org/10.1002/mp.70500.

MLA (9th ed.) Citation

M, Venugopal, et al. "Towards Quality Control and Harmonization of Deep Learning CT Radiomics: An In-silico Feasibility Study with Virtual Colorectal Liver Metastases." Medical Physics, vol. 53, no. 5, 2026, p. e70500, https://doi.org/10.1002/mp.70500.