AI-PET synthesis… SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis 14 May 202524 Oct 2025 Task: Multimodal (PET & multi-modal MR) 3D medical image synthesis Description: A novel 3D conditional generative adversarial network (GAN) designed and optimized for the application of multimodal 3D neuroimaging synthesis.…
AI-PET attenuation… Whole Body PET Attenuation Correction Map Synthesizing using 3D Deep Networks 8 Oct 202424 Oct 2025 Task: Whole body attenuation map generation using 3D U-Net generative adversarial networks (GANs) Description: The model is initially trained as a 3D U-Net to learn the mapping from non attenuation…
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-PET synthesis… CycleGAN-QSDL: Quasi-supervised deep learning for super-resolution PET 28 Feb 202424 Oct 2025 Task: Generate synthetic high-resolution PET images from low-resolution PET images Description: QSDL is a quasi-supervised deep learning method, which is a new type of weakly-supervised learning methods, to recover high-resolution…
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)…
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