A dual-resolution self- and cross-attention hybrid model localizes T12-L5 vertebral landmarks in multi-scanner DXA images with normalized mean error 4.92 pixels and median 2.35 pixels, outperforming baselines.
Direct estimation of spinal cobb angles by structured multi-output regression, in: IPMI, Springer
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VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images
A dual-resolution self- and cross-attention hybrid model localizes T12-L5 vertebral landmarks in multi-scanner DXA images with normalized mean error 4.92 pixels and median 2.35 pixels, outperforming baselines.