3 papers
cs.CV2026
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/Bas…
quant-ph2026
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 scalabl…
cs.CV2026
BAC-JEPA: Label-Efficient Breast Arterial Calcification Segmentation via Synthetic Mammography-Guided Supervision
Scott Chase Waggener, Lakshman Tamil
Breast arterial calcification (BAC) on screening mammograms is an emerging cardiovascular risk biomarker, but quantitative use requires reproducible segmentation and expert pixel-l…