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-Prostate Cancer… Automated mPCa lesion segmentation with self-configuring nnU-Net framework 26 Sep 202524 Oct 2025 An automated segmentation framework based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga]Ga-PSMA-11 PET/CT images for the purpose of extracting patient-level prognostic biomarkers. AI-tool features Disease…
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-PET reconstruction… Model-based deep learning PET image reconstruction using FBSEM 26 Aug 202524 Oct 2025 Task: Bayesian Iterative PET image reconstruction Description: The model consists of a forward-backward splitting algorithm to integrate deep learning into maximum-a-posteriori (MAP) positron emission tomography (PET) image reconstruction. The MAP…
AI-PET reconstruction… Iterative PET Image Reconstruction Using CNN Representation 6 Aug 202524 Oct 2025 Task: Iterative PET Image reconstruction Description: The model employs a deep residual convolutional neural network to improve PET image quality by using the existing inter-patient information. An innovative feature of…
AI-Exam-Reporting… Automatic Personalized Impression Generation for PET Reports Using Large Language Models 7 Jul 20257 Oct 2025 Task: Fine-tuning Large Language Models (LLMs) for PET Report Summarization and Comparative Performance Evaluation of their ability to generate automated personalized impressions from whole-body clinical PET reports that are acceptable…
AI-multi-modality image fusion… LWNet: A lightweight medical image fusion network by structural similarity pseudo labels iteration 7 Jun 20257 Oct 2025 Task: To build a lightweight multimodal medical image fusion network and implement a novel Structural Similarity Pseudo labels Iteration (SPI) mechanism for network training, which continuously refines pseudo labels through iterative screening,…
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…
commercial-only… Voximetry Torch® 19 May 202519 May 2025 A commercial Dosimetry-Guided RadioPharmaceutical Therapy (RPT) Assessment Software by Voximetry offering GPU-Accelerated absorbed dose calculation and patient-drug interaction modeling individualized for the radionuclide, the drug, and the patient. Voximetry Torch® simplifies…
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-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-PET denoising… Neural_Blind_DeConv_PSMA: Neural blind deconvolution for deblurring and supersampling PSMA PET 6 Mar 202524 Oct 2025 Task: To simultaneously deblur and supersample prostate specific membrane antigen (PSMA) positron emission tomography (PET) images using neural blind deconvolution Description: Blind deconvolution is a method of estimating the hypothetical…
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-segmentation… TMTV-Net: Fully Automated Total Metabolic Tumor Volume Segmentation in Lymphoma PET/CT 16 Jan 202524 Oct 2025 Task: TMTV-Net, is specifically designed to automate TMTV segmentation from PET/CT scans. TMTV-Net demonstrates robust performance and adaptability in TMTV segmentation across diverse multi-site external datasets, encompassing various lymphoma subtypes.…
AI-segmentation… SEQUOIA 8 Dec 202424 Oct 2025 automated multiclass SEgmentation, QUantification, and visualizatiOn of the dIseased Aorta on hybrid PET/CT SEQUOIA is an automated pipeline for aortic PET/CT studies. First, it segments the ascending aorta, aortic arch,…
AI-PET denoising… Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising 12 Nov 202424 Oct 2025 Task: Low-dose PET image denoising via a GAN method Description: A hybrid 2D and 3D parameter-transferred Wasserstein GAN PT-WGAN model for low-dose PET image denoising. The model's performance is a…
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-segmentation… NanoMASK: Nanomedicine Multi-modal AI-based Segmentation for PharmacoKinetics 18 Sep 202424 Oct 2025 Task: Automatic organ and tumor segmentation for nanomedicine pharmacokinetic studies. Description: NanoMASK model is a 3D U-Net adapted deep learning tool capable of rapid, automatic organ segmentation of multimodal imaging…
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-multi-modality image fusion… Multi-modal Medical Image Fusion via Multi-dictionary and Truncated Huber Filtering 19 Jul 202424 Oct 2025 Task: Multi-modal medical image fusion Description: The model is comprised of a novel medical image fusion algorithm based on multi-dictionary convolutional sparse representation (CSR) for retaining useful information while achieving…
AI-cardiac… TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction 14 Jun 202424 Oct 2025 Task: To synthesize a reference late cardiac Rb-82 PET image frame from a set of respective early PET image frames for improved inter-frame registration, motion correction and myocardial blood flow…
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-lung cancer… A Bayesian approach to tissue-fraction estimation for oncological PET segmentation 6 Mar 202424 Oct 2025 Task: Semi-automated tissue-fraction estimation-based lesion segmentation from human PET images for quantitative assessments of oncologic diseases. Description: The proposed model implements a novel Bayesian approach to tissue-fraction estimation (TFE) for oncological…
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)…
AI-Large Language Models (LLMs)… Automatic Personalized Impression Generation for PET Reports Using Large Language Models(LLMs) 12 Feb 202424 Oct 2025 Task: Automatic Impression Generation for PET Reports Using Large Language Models (LLMs) Description: A collection of twelve open-source language models fine-tuned on a corpus of 37,370 retrospective PET reports were…
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…
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…
AI-PET denoising… FAN: Frequency Attention Network for Blind Noise Removal in Real Images 25 Jan 202424 Oct 2025 Task: Blind Noise Removal in Real Images Description: The FAN (Frequency Attention Network) model implements a method for blind image denoising that combines frequency domain analysis and attention mechanism, The…
AI-pulses discrimination… DMLLT Detector Pulse Discriminator – A supervised machine learning approach for shape-sensitive detector pulse discrimination in positron annihilation lifetime spectroscopy (PALS) applications 10 Jan 202424 Oct 2025 Task: Detector pulse discrimination in positron annihilation lifetime spectroscopy (PALS) Description: A supervised machine learning (ML) model based on a naive Bayes classification model using a normally distributed likelihood as…
AI-segmentation… MOOSE 27 Dec 202324 Oct 2025 Multi-organ objective segmentation MOOSE (Multi-organ objective segmentation) is a data-centric AI solution designed to streamline systemic Total-Body research by generating multilabel organ segmentations with high precision. Built on the robust…
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