Multi-Anatomy Post-Surgical Magnetic Resonance Dataset (MAPSMR)

Description

The MAPSMR dataset is a multi-organ, post-surgical MRI benchmark dataset focused on organ absence and altered anatomy after common abdominal and pelvic surgeries. The dataset includes cases such as cholecystectomy, prostatectomy, nephrectomy, colectomy, hepatectomy, and related procedures, with annotations identifying surgically absent organs and post-treatment anatomical changes.

Update Frequency

Not updated

License

CC BY-NC-ND 4.0

Documentation

https://github.com/fastestimator/gehcai-mapsmr

Managed By

GE Healthcare

See all datasets managed by GE Healthcare.

Contact

AIFoundationModels@gehealthcare.com

How to Cite

Multi-Anatomy Post-Surgical Magnetic Resonance Dataset (MAPSMR) was accessed on DATE from https://registry.opendata.aws/gehcai-mapsmr. Yang, Zhijian, et al. Decipher-MR - a vision-language foundation model for 3D MRI representations. npj Digital Medicine (2026).

Usage Examples

Tutorials

• Get to know a dataset - GEHCAI-MAPSMR by https://github.com/fastestimator
  

Publications

• Decipher-MR: a vision-language foundation model for 3D MRI representations by Zhijian Yang, Noel DSouza, Istvan Megyeri, Xiaojian Xu, Amin Honarmandi Shandiz, Farzin Haddadpour, Krisztian Koos, Laszlo Rusko, Emanuele Valeriano, Bharadwaj Swaminathan, Lei Wu, Parminder Bhatia, Taha Kass-Hout, Erhan Bas