AI-motion correction… DL-HMC++: PET Head Motion Estimation Using Supervised Deep Learning with Attention 24 Oct 2025 Task: A deep-learning head motion correction approach with cross-attention (DL-HMC++) to predict rigid head motion from one-second 3D PET raw data. Rationale: Head movement poses a significant challenge in brain…
AI-Alzheimer's Disease… FuseNet: Attention-learning based MRI–PET slice fusion for Alzheimer’s diagnosis 8 Sep 20257 Oct 2025 Task: Enhance the accuracy of Alzheimer's Disease (AD) classification by (1) implementing a Multimodal Neuroimaging (PET-MRI) Fusion fremwork using Discrete Wavelet Transform (DWT) to seamlessly combines structural MRI with functional PET images,…
AI-multi-modality image fusion… MdAFuse: Adaptive fusion for Multi-Dimensional features of medical image 24 May 202524 Oct 2025 Task: MR-PET medical image fusion based on unsupervised deep learning and a convolutional neural network. Rationale: The fusion of magnetic resonance imaging and positron emission tomography can combine biological anatomical…
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-NeuroImaging… JuST_BrainPET: Juelich Segmentation Tool for Amino Acid PET Brain Tumor Segmentation 12 Aug 202424 Oct 2025 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 9 May 202424 Oct 2025 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 10 Apr 202424 Oct 2025 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 20 Mar 202424 Oct 2025 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 16 Feb 202424 Oct 2025 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 5 Feb 202424 Oct 2025 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…
NMMItools 