Deep Learning-Based Indirect Attenuation Correction in Spect Mpi Using Multireconstruction Inputs and Novel Loss Optimization

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Deep Learning-Based Indirect Attenuation Correction in Spect Mpi Using Multireconstruction Inputs and Novel Loss Optimization
Συγγραφείς: Hajianfar, G., Salimi, Y., Amini, M., Hong, X., Chehreghani, M., Mansouri, Z., Nkoulou, R., Sanaat, A., Rajabi, A. Bitarafan, Shiri, I., Zaidi, H.
Πηγή: 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. :1-2 Nov, 2025
Relation: 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9781665477673
9781665477680
ISSN:25770829
10823654
DOI:10.1109/NSS/MIC/RTSD57106.2025.11287187