NVIDIA Federated Learning Application Runtime Environment
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Updated
Apr 16, 2026 - Python
NVIDIA Federated Learning Application Runtime Environment
BIDScoin converts your source-level neuroimaging data to BIDS
A desktop kitty that sleeps, wanders around, and keeps you company
[MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).
万物皆可 Relic — 给灵魂开个 GitHub | Universal Digital Immortality Engine 🧬
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
[MedIA 2024] This is a code implemention of the joint learning framework proposed in the manuscipt "Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information".
Este repositório é um projeto desenvolvido pelo grupo PET BCC com o objetivo de resolver todos os exercícios disponíveis na plataforma utilizando a linguagem de programação C
Prompt-learning methods used BERT4Keras (PET, EFL and NSP-BERT), both for Chinese and English.
REACT: Receptor-Enriched Analysis of functional Connectivity by Targets
Home assistant HACS component to integrate with SurePetCare Api.
Real-time pet detection and recognition with yolo
NiftyPET: Neuro-Image Manipulation, Processing and Analysis
Reusable neuroimaging pipelines using nipype
Python library unifying Positron Emission Particle Tracking (PEPT) research, including tracking, simulation, data analysis and visualisation tools.
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