AI-NeuroImaging… JuST_BrainPET: Juelich Segmentation Tool for Amino Acid PET Brain Tumor Segmentation 1 Jan 202422 Feb 2024 Task: Automated Brain Tumor Detection and Segmentation for Treatment Response Assessment Using Amino Acid PET Description: JuST_BrainPET: Juelich Segmentation Tool for Brain Tumor PET is a model trained for metabolic…
AI-NeuroImaging… AI-imputed tau-PET: Synthesizing PET images of tau pathology from cross-modal neuroimaging using deep learning 1 Jan 202423 Feb 2024 Task: To impute tau-PET images from more widely available cross-modality imaging inputs Description: The AI-imputed tau-PET model is a 3D Dense-U-Net Convolutional Neural Network (CNN) that imputes synthetic tau-PET images…
AI-NeuroImaging… brainPETNR: Brain PET Noise Reduction using a Frequency Attention Network 1 Jan 202422 Feb 2024 Task: Denoising of low-activity PET reconstruction of [11C]PiB and [18F]FE-PE2I images in neurodegenerative disorders Description: The brainPETNR framework utilizes a Frequency Attention Network (FAN) model for denoising of low-activity reconstructed brain…
AI-classification… Automated Detection of Focal Cortical Dysplasia With the FCDdetection Model Using Quantitative Multimodal Surface-Based Features 1 Jan 202423 Feb 2024 Task: Detection of Focal Cortical Dysplasia (FCD) lesions by combining quantitative multimodal surface-based features with machine learning and to assess its clinical value. Decription: The FCDdetection model is a neural…
AI-classification… CGAN-based 18F-Florbetaben PET Data Augmentation for Enhanced Classification of Amyloid-beta distributions 1 Jan 202424 Feb 2024 Task 1: Improve Data Augmentation (DA) of a limited training set of 18F-Florbetaben (18F-FBB) PET images by synthesizing additional realistic 18F-FBB PET images using a Conditional Generative Adversarial Network (CGAN)…
AI-NeuroImaging… DaT-SPECT-Segmentation: A tissue-fraction estimation-based segmentation framework for quantitative dopamine transporter SPECT 1 Jan 202425 Feb 2024 Task: Fully automated tissue-fraction estimation-based segmentation of the caudate, putamen, and Globus Pallidus (GP) from human brain DaT-SPECT images for quantitative assessments of Parkinson's Disease. Description: The DaT-SPECT-Segmentation model estimates the…