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PainFusion+

A deep learning method for multimodal pain assessment with transformers.



🚀 Getting Started

Clone the repository and follow the instructions below to set up the environment and start training.

git clone https://github.com/your-org/PainFusion.git
cd PainFusion

⚙️ Environment Setup

A Dockerfile is provided to create a reproducible environment.

# Build the image (run from repo root)
docker build -t painfusion:latest .

# Run a container interactively (adjust flags as needed)
docker run --rm -it painfusion:latest /bin/bash

🔧 Configuration

All configuration files live in the configs/ directory. An example configuration is included as configs/default.yaml to demonstrate expected structure and defaults.

When launching scripts, point them to the desired YAML configuration file.


🏃‍♂️ Running Training

To start training, run the provided script and pass the config file path as an argument:

bash scripts/run-train.sh configs/config_file.yaml

📂 Project Structure

PainFusion+/
├── configs/           # Configuration files (example included: configs/example.yaml)
├── scripts/           # Training and utility scripts
├── data/              # Data loading and preprocessing
├── modules/           # Model components
├── docker             # Docker and Python dependencies
├── README.md          # This file
├── main.py            # Main training script
└── LICENSE            # License

📜 Citation

If you use PainFusion+ in your research or work, please cite our paper (citation to be added once published):

Citation — TO DO (will be provided once the work is published)


✉️ Contact

For questions, suggestions, or other correspondence, please open a pull request or send an email to: mbenavent@dtic.ua.es.

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[Neurocomputing 2025] Official Implementation of "Multimodal pain assessment with transformers"

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