MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI

ArXi:2604.11762v1 Announce Type: cross Deep learning underpins a wide range of applications in MRI, including reconstruction, artifact removal, and segmentation. However, progress has been driven largely by public datasets focused on brain and knee imaging, shaping how models are trained and evaluated. As a result, careful studies of the reliability of these models across diverse anatomical settings remain limited. In this work, we