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CUHK-AIM-Group

Official

@cuhk-aim-group · Hong Kong

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105Public Repos
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39Published Skills

The Artificial Intelligence in Medicine (AIM) Group from The Chinese University of Hong Kong (CUHK)

Skills Distribution
DomainAI Models & ...Neuroimaging Prepr.. (40%)Clinical Data Stan.. (30%)Academic Research .. (20%)Computational Infr.. (10%)

Agent Skills by CUHK-AIM-Group

Showing 39 vetted skills indexed across 1 GitHub repositories.

CUHK-AIM-GroupCUHK-AIM-Group
78

dcm2nii

Convert clinical DICOM data to NIfTI volumes with JSON sidecars.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

git-workflows

Orchestrate complex git tasks across branches and remotes.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

freesurfer-tool

Automate end-to-end FreeSurfer processing for structural MRI data.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

brain-visualization

Translate neuroimaging outputs into publication-ready figures and 3D meshes.

Official
Intermediate
CUHK-AIM-GroupCUHK-AIM-Group
78

mne-eeg-tool

Load, preprocess, and analyze EEG data with MNE-Python pipelines.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

eeg-skill

Coordinate EEG data workflows by planning and delegating processing steps to specialized tools.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

nii2dcm

Convert NIfTI volumes to single-frame DICOM series with MR/SVR tagging.

Official
Intermediate
CUHK-AIM-GroupCUHK-AIM-Group
78

hcppipeline-tool

Orchestrates HCP-style preprocessing of multimodal MRI data with plan-driven safety checks.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

overleaf-skill

Synchronize Overleaf projects with a pull-first workflow and explicit authorization.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

conda-env-manager

Plan, create, and manage conda environments with dry-run previews and logging.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

hcp-skill

Orchestrate HCP multimodal processing from data download to modality-specific pipelines.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

method-design

Convert IDEA.md research ideas into METHOD.md with architecture, formulas, and pseudocode.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

qsiprep-tool

Plan and orchestrate QSIPrep diffusion MRI preprocessing on BIDS datasets.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

git-essentials

Automate Git commands for version control and collaboration on NeuroClaw projects.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

fsl-tool

Orchestrate FSL neuroimaging workflows with installation checks and user-confirmed execution plans.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

multi-search-engine

Aggregate web search queries across 17 engines without API keys.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

dipy-tool

Extract diffusion MRI metrics from DWI data using DIPY.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

adni-skill

Orchestrate ADNI workflows from raw NIfTI to BIDS-ready outputs with fMRIPrep and DK68 ROI extraction.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

fmri-skill

Plan and delegate fMRI processing tasks across base tool-skills for BIDS workflows.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

dwi-skill

Plan diffusion MRI preprocessing and metric extraction workflows across DICOM, NIfTI, and BIDS datasets.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

experiment-controller

Automate NeuroClaw experiment runs from IDEA/METHOD inputs to EXPERIMENT.md logging.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

dependency-planner

Detect environments and generate reproducible dependency installation plans.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

bids-organizer

Detect DICOM, NIfTI, and EEG data and generate a BIDS organization plan.

Official
Advanced
CUHK-AIM-GroupCUHK-AIM-Group
78

claw-shell

Routes shell commands through a dedicated, guarded tmux session with output capture.

Official
Advanced

Frequently Asked Questions About CUHK-AIM-Group

FAQPage Schema
What specific neuroimaging tasks are supported by these capabilities?

These capabilities support DICOM to NIfTI conversion, structural MRI segmentation, EEG preprocessing, and fMRI connectivity analysis. They enable standardized BIDS-compliant data organization and the execution of complex neuroimaging pipelines including FreeSurfer, FSL, and QSIPrep.

Who is the target persona for these neuroimaging resources?

The target personas are clinical researchers, neuroscientists, and medical imaging engineers. These resources are designed for professionals managing large-scale neuroimaging datasets who require reproducible, audit-logged, and structured processing environments for clinical studies.

What are the prerequisites for running these neuroimaging pipelines?

Users require a Unix-based environment with Docker and Conda installed to manage containerized dependencies. The system relies on BIDS-formatted datasets and specific neuroimaging software suites like FSL, FreeSurfer, or CONN, which must be pre-installed or accessible via the provided container management modules.