AI-outcome prediction… ICARE: Individual Coefficient Approximation for Risk Estimation model for outcome prediction in head and neck PET/CT 29 Apr 202524 Oct 2025 Task: Recurrence Free Survival (RFS) Prediction in Head and Neck Tumors segmented from 18F-FDG PET/CT images Description: ICARE is a publicly available novel binary-weighted model operating on radiomic features calculated…
AI-NeuroImaging… BAP2A-Public: Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET derived features 3 Apr 202524 Oct 2025 Task: Build a model (BAP2A-public) to predict brain age using 5-HT2AR binding PET outcomes, compare 5-HT2AR-PET-based predictions of brain age to predictions based on gray matter (GM) volume, as determined…
AI-NeuroImaging… ArcheD: residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET 22 Feb 202524 Oct 2025 Task: A novel residual neural network ("ArcheD") to predict amyloid-beta cerebrospinal fluid (CSF) concentration directly from amyloid-beta (Αβ) PET scans, independent of the tracer, brain reference region or preselected regions…
AI-outcome prediction… nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 7 Feb 202424 Oct 2025 nnU-Net (v2) is a deep learning-based segmentation method that automatically configures itself, including preprocessing, network architecture, training and post-processing for any new task in the biomedical domain. The key design…
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