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eess.IV2025
Anatomy-Aware Lymphoma Lesion Detection in Whole-Body PET/CT
Simone Bendazzoli, Antonios Tzortzakakis, Andreas Abrahamsson +4
Early cancer detection is crucial for improving patient outcomes, and 18F FDG PET/CT imaging plays a vital role by combining metabolic and anatomical information. Accurate lesion d…
eess.IV2024
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
Mehdi Astaraki, Simone Bendazzoli
The automatic segmentation of pathological regions within whole-body PET-CT volumes has the potential to streamline various clinical applications such as diagno-sis, prognosis, and…
eess.IV2024
Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
Jingru Fu, Simone Bendazzoli, Ãrjan Smedby +1
Significant advances have been made toward building accurate automatic segmentation models for adult gliomas. However, the performance of these models often degrades when applied t…