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Author

R. Shiradkar

2 papers indexed here

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Open access 2026

Comparative Analysis of AI Architectures for Prostate Gland Segmentation on MRI

Prostate gland segmentation on magnetic resonance imaging (MRI) is important for prostate cancer treatment planning, but manual segmentation is time-consuming and subject to inter-reader variability. Deep learning models may offer automation and efficiency, but boundary uncertainty, tissue heterogeneity, morphological...

Ryan Karim, Sumedh Sonawane, R. Shiradkar · 0 citations
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. · 0 citations

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