3 papers
cs.CV2026
Lesion-Aware Adaptive Fourier Neural Operator for CT-to-PSMA PET Synthesis in Prostate Cancer
Rashmi Bhaskara, Waleed M. Almutairi, Matthew Gopaulchan +5
Deep learning models that synthesize PET from CT or MRI can reduce patient dose and scanner demand, but are typically optimized with global losses such as L1 or mean squared error…
physics.med-ph2026
A Dual Path Framework with Hotspot Guided Fusion for Three Dimensional CT to PET Synthesis in Head and Neck Cancer
Mohd Maaz Khan, Oluwaseyi Oderinde
18F-FDG PET/CT plays a central role in staging, treatment planning, and response assessment for head and neck cancer by providing functional information that complements anatomical…
physics.med-ph2022
Assessment of fiducial motion in CBCT projections of the abdominal tumor using template matching and sequential stereo triangulation
Oluwaseyi M. Oderinde, Hassan Mostafavi, Daniel Simpson +3
Purpose: To assess the fiducial motion in abdominal stereotactic body radiotherapy (SBRT) using the cone-beam computed tomography (CBCT) projections acquired for pre-treatment pati…