Papers
Papers I've written, contributed to, or frequently reference in my research.
Abhivir Singh · MEng Thesis, Imperial College London
Developing lightweight deep learning models for automated fetal heart analysis in ultrasound. Targeting deployment on portable devices for low-resource clinical settings.
Abhivir Singh et al. · 2024
Comprehensive benchmarking study evaluating large language models across 70+ languages on diverse NLP tasks.
Vaswani et al. · NeurIPS 2017
The paper that started the transformer revolution. Still worth re-reading every few months.
Ronneberger, Fischer, Brox · MICCAI 2015
Foundational architecture for medical image segmentation. Directly relevant to my thesis work on fetal ultrasound.
Howard et al. · arXiv 2017
Depthwise separable convolutions for efficient inference. Key to deploying models on portable ultrasound devices.