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Lakshman Tamil

2 papers indexed

arxivcs.CV2026-06-30

AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography

Scott Chase Waggener, Sai Karthik Navuluru, Lakshman Tamil

We present Aegis, a joint-embedding predictive architecture for breast cancer detection and density assessment in mammography. We train three Vision Transformer variants (Small/Base/Large) using self-supervised joint-embedding predictive architecture (JEPA) pre-training on 71,103…

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arxivquant-phcs.LG2026-06-26

Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection

Akshay Bhagwan Sonawane, Sophie Choe, Lakshman Tamil

Early detection of oral cancer markedly improves clinical outcomes, yet specialized diagnostic tools remain scarce in low-resource settings. Smartphone-based screening is a scalable alternative but needs lightweight models that run within edge-hardware constraints. Hybrid classic…

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