Call for Contributions: MICCAI Challenge Implementations in MONAI

Hi everyone,

I would like to encourage all contributors to share their implementations related to the MICCAI challenge in the MONAI framework. The topics of focus include, but are not limited to:

• Text-to-Image or Video Generation
  Solutions aimed at generating images or videos for surgical or clinical use.

• Surgical Image/Video Depth Estimation
  Leveraging technologies such as NeRF and 3D Generative Systems. Ongoing work from TAO and Holohub can be referenced, alongside KCL's version which has noted temporal consistency issues.

• 3D/2D Multi-modal Registration
  Techniques for aligning modalities like X-ray with CT or combining endoscopic ultrasound with CT/MR.

• 3D Freehand Ultrasound Reconstruction

• De-smoke Techniques

• Raw Signal Processing

• Focusing on surgical workflow and phase recognition.

• Surgical Skill Assessment

• Developing methodologies to evaluate surgical skills.

• Surgical Instrument Pose Estimation and Localization

• Techniques for detecting and localizing surgical instruments effectively.

Your contributions are vital for enhancing the MONAI project and advancing research in these critical areas. Let’s work together to make our implementations more robust and impactful!

Thank you for your collaboration!

The issue provides no files, tests, or entry points to inspect. Review the listed MICCAI topics and determine which implementation can be contributed to MONAI; completion is not defined beyond sharing a robust implementation, so scope and acceptance criteria would need clarification.