APA (7th ed.) Citation

Hajianfar, G., Salimi, Y., Amini, M., Hong, X., Chehreghani, M., Mansouri, Z., . . . Zaidi, H. (2025). Deep Learning-Based Indirect Attenuation Correction in Spect Mpi Using Multireconstruction Inputs and Novel Loss Optimization. 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), 2025 IEEE, 1. https://doi.org/10.1109/NSS/MIC/RTSD57106.2025.11287187

Chicago Style (17th ed.) Citation

Hajianfar, G., et al. "Deep Learning-Based Indirect Attenuation Correction in Spect Mpi Using Multireconstruction Inputs and Novel Loss Optimization." 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), 2025 IEEE 2025: 1. https://doi.org/10.1109/NSS/MIC/RTSD57106.2025.11287187.

MLA (9th ed.) Citation

Hajianfar, G., et al. "Deep Learning-Based Indirect Attenuation Correction in Spect Mpi Using Multireconstruction Inputs and Novel Loss Optimization." 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), 2025 IEEE, 2025, p. 1, https://doi.org/10.1109/NSS/MIC/RTSD57106.2025.11287187.