This data package contains the information needed to replicate the research titled - 'Automated segmentation of brain metastases in T1-weighted contrast- enhanced MR images pre and post stereotactic radiosurgery'.

This research is part of the AMICUS project. The anonymized clinical research data from ETZ is used for this research. This data is present in the research servers at ETZ. My supervisor Wouter De Baene also has access to this research data in research servers at ETZ. Due to privacy reasons, data cannot be moved out of ETZ hospital. The data can be accessed after approval from ETZ Wetenschapsbureau.

This research evaluated the well-known Deep Learning approaches (nnU-Net and MedNeXt) for their segmentation performance on both planning and follow-up MR of brain metastases patients treated with stereotactic radiosurgery. This research can be replicated by following the methodology described in the paper.