2 papers
cs.CV2025
Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
Dariush Lotfi, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam +1
In AI-driven medical imaging, the failure to detect out-of-distribution (OOD) data poses a severe risk to clinical reliability, potentially leading to critical diagnostic errors. C…
eess.IV2024
AutoPET III Challenge: PET/CT Semantic Segmentation
Reza Safdari, Mohammad Koohi-Moghaddam, Kyongtae Tyler Bae
In this study, we implemented a two-stage deep learning-based approach to segment lesions in PET/CT images for the AutoPET III challenge. The first stage utilized a DynUNet model f…