APA (7th ed.) Citation

Jajroudi, M., Jamalirad, H., Enferadi, M., Roshanravan, V., Emami, F., Geramifar, P., & Eslami, S. (2026). A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics. EJNMMI Physics, 13(1), 1. https://doi.org/10.1186/s40658-026-00838-8

Chicago Style (17th ed.) Citation

Jajroudi, Mahdie, Hossein Jamalirad, Milad Enferadi, Vahid Roshanravan, Farshad Emami, Parham Geramifar, and Saeid Eslami. "A Deep Learning Framework for Lesion-level Treatment Response Prediction in Hodgkin Lymphoma Using PET/CT Tensor Radiomics." EJNMMI Physics 13, no. 1 (2026): 1. https://doi.org/10.1186/s40658-026-00838-8.

MLA (9th ed.) Citation

Jajroudi, Mahdie, et al. "A Deep Learning Framework for Lesion-level Treatment Response Prediction in Hodgkin Lymphoma Using PET/CT Tensor Radiomics." EJNMMI Physics, vol. 13, no. 1, 2026, p. 1, https://doi.org/10.1186/s40658-026-00838-8.