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-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-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-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-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-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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