Author

Tanmay Shukla

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#artificial intelligence Preprint Sep 2026

Cross-Modal Contrastive Learning from Histopathology and CT for Automated Renal Cell Carcinoma Grading

Background: Clear cell renal cell carcinoma (ccRCC) exhibits substantial clinical heterogeneity, and accurate grade assessment is essential for risk stratification and treatment planning. However, conventional grading requires invasive tissue sampling. We developed RCC-Align, a cross-modal contrastive learning framewor...

Amit Das, Tanmay Shukla, Naofumi Tomita et al. · 0 citations

Open access Aug 2026

Multimodal AI Methods for Predicting Pathologic Complete Response in Breast Cancer.

A novel multimodal deep learning approach that combines pre-treatment dynamic contrast-enhanced MRI and clinical data for predicting pCR before chemotherapy, and is the first to integrate attention-based multiple instance learning technique for slice aggregation and a self-supervised contrastive objective to align imag...

Manu Goyal, Tanmay Shukla, Saeed Hassanpour · Journal of imaging informati... · 0 citations