CUHK-AIM-Group
Official@cuhk-aim-group · Hong Kong
The Artificial Intelligence in Medicine (AIM) Group from The Chinese University of Hong Kong (CUHK)
Agent Skills by CUHK-AIM-Group
Showing 39 vetted skills indexed across 1 GitHub repositories.
dcm2nii
Convert clinical DICOM data to NIfTI volumes with JSON sidecars.
git-workflows
Orchestrate complex git tasks across branches and remotes.
freesurfer-tool
Automate end-to-end FreeSurfer processing for structural MRI data.
brain-visualization
Translate neuroimaging outputs into publication-ready figures and 3D meshes.
mne-eeg-tool
Load, preprocess, and analyze EEG data with MNE-Python pipelines.
eeg-skill
Coordinate EEG data workflows by planning and delegating processing steps to specialized tools.
nii2dcm
Convert NIfTI volumes to single-frame DICOM series with MR/SVR tagging.
hcppipeline-tool
Orchestrates HCP-style preprocessing of multimodal MRI data with plan-driven safety checks.
overleaf-skill
Synchronize Overleaf projects with a pull-first workflow and explicit authorization.
conda-env-manager
Plan, create, and manage conda environments with dry-run previews and logging.
hcp-skill
Orchestrate HCP multimodal processing from data download to modality-specific pipelines.
method-design
Convert IDEA.md research ideas into METHOD.md with architecture, formulas, and pseudocode.
qsiprep-tool
Plan and orchestrate QSIPrep diffusion MRI preprocessing on BIDS datasets.
git-essentials
Automate Git commands for version control and collaboration on NeuroClaw projects.
fsl-tool
Orchestrate FSL neuroimaging workflows with installation checks and user-confirmed execution plans.
multi-search-engine
Aggregate web search queries across 17 engines without API keys.
dipy-tool
Extract diffusion MRI metrics from DWI data using DIPY.
adni-skill
Orchestrate ADNI workflows from raw NIfTI to BIDS-ready outputs with fMRIPrep and DK68 ROI extraction.
fmri-skill
Plan and delegate fMRI processing tasks across base tool-skills for BIDS workflows.
dwi-skill
Plan diffusion MRI preprocessing and metric extraction workflows across DICOM, NIfTI, and BIDS datasets.
experiment-controller
Automate NeuroClaw experiment runs from IDEA/METHOD inputs to EXPERIMENT.md logging.
dependency-planner
Detect environments and generate reproducible dependency installation plans.
bids-organizer
Detect DICOM, NIfTI, and EEG data and generate a BIDS organization plan.
claw-shell
Routes shell commands through a dedicated, guarded tmux session with output capture.
Frequently Asked Questions About CUHK-AIM-Group
FAQPage SchemaWhat 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.