5 papers
Domain Shift in Echocardiography: Interpretable Quantification and Prediction of Cross-Dataset Left Ventricular Segmentation
Soroush Elyasi, Nasim Dadashi Serej, Julie Wall +1
Cross-dataset generalisation remains a major barrier to clinical deployment of echocardiographic left ventricular segmentation, yet the sources of this shift are rarely disentangle…
EAGT: Echocardiography Augmentation for Generalisability and Transferability
Soroush Elyasi, Sara Adibzadeh, Nasim Dadashi Serej +1
Deep learning models for echocardiography segmentation often struggle to generalise across institutions, scanners, and patient populations, where collecting large, consistently ann…
MentalGame: Predicting Personality-Job Fitness for Software Developers Using Multi-Genre Games and Machine Learning Approaches
Soroush Elyasi, Arya VarastehNezhad, Fattaneh Taghiyareh
Personality assessment in career guidance and personnel selection traditionally relies on self-report questionnaires, which are susceptible to response bias, fatigue, and intention…
AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries
Arya VarastehNezhad, Reza Tavasoli, Soroush Elyasi +2
Depression, anxiety, and stress are widespread mental health concerns that increasingly drive individuals to seek information from Large Language Models (LLMs). This study investig…
How Jungian Cognitive Functions Explain MBTI Type Prevalence in Computer Industry Careers
Arya VarastehNezhad, Behnam Agahi, Soroush Elyasi +2
This study investigates the relationship between Carl Jung's cognitive functions and success in computer industry careers by analyzing the distribution of Myers-Briggs Type Indicat…