OphMAE is a multimodal masked autoencoder that fuses volumetric 3D and planar 2D OCT imaging, achieving SOTA AUCs of 96.9% for AMD and 97.2% for DME while adapting to single-modality or low-data scenarios.
InProceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition, 16000–16009 (2022)
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OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis
OphMAE is a multimodal masked autoencoder that fuses volumetric 3D and planar 2D OCT imaging, achieving SOTA AUCs of 96.9% for AMD and 97.2% for DME while adapting to single-modality or low-data scenarios.