Three RML Papers Accepted to EMBC 2026

RML is proud to have three papers accepted to the IEEE Engineering in Medicine and Biology Conference (EMBC 2026), taking place in Toronto, Canada in July 2026.

MultiLangCue: Exploring Multilingual Emotion Recognition Through Language-Specific Prompting N. Vieira, C. Wasef, N. Khan This paper investigates how emotion recognition models can be adapted through language-specific prompting, leveraging features unique to each language. The approach is evaluated on English and German datasets, exploring the intersection of multilingual NLP and affective computing.

R-ECAM: Reliability-Aware Ensemble Class Activation Map for Breast Lesion Pseudo-Mask Generation S. Barzegar, N. Khan An unsupervised segmentation model for breast lesion detection that leverages class activation maps to generate reliable pseudo-masks — enabling weakly-supervised training without dense pixel-level annotations.

In-Context Facial Expression Synthesis for Sign Language Generation Using Large Language Models S. Hassan, N. Khan A novel approach to facial expression synthesis for sign language generation using in-context learning with large language models — an underexplored problem with important implications for accessible communication technology.

Congratulations to Nick, Carol, Somayeh, and Safwan!