Author

O. Oderinde

2 papers indexed here

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Open access Aug 2026

Multimodal Radiogenomic Machine Learning for Biochemical Recurrence Prediction Following Radical Prostatectomy Using PSMA-PET, mpMRI, and the Decipher Genomic Classifier

Background: Biochemical recurrence (BCR) occurs in up to 40% of men following radical prostatectomy (RP). Current risk models rely primarily on clinicopathologic variables and may not fully capture the biological heterogeneity associated with recurrence. The Decipher Genomic Classifier (DGC), prostate-specific membrane...

R. Chimmula, C. Yong, H. Love et al. · medRxiv · 0 citations

Preprint Aug 2026

Lesion-Aware Adaptive Fourier Neural Operator for CT-to-PSMA PET Synthesis in Prostate Cancer

Deep learning models that synthesize PET from CT or MRI can reduce patient dose and scanner demand, but are typically optimized with global losses such as L1 or mean squared error (MSE) that treat all voxels similarly. In whole-body PSMA-PET, tumor voxels occupy only a small fraction of the volume, yet carry the clinic...

Rashmi Bhaskara, Waleed M. Almutairi, Matthew Gopaulchan et al. · 0 citations