1 citations · 1 across the 3 of their papers we have counts for
3 papers
Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT
Alaa Asfour, Christopher Indris, Leihan Chen +2
Large-scale 3D vision-language models (VLMs) like LLaVA-3D offer strong spatial reasoning but are difficult to deploy due to high computational costs. We propose a knowledge distil…
Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models
Mohsena Chowdhury, Tejas Vyas, Rahul Alapati +2
Inspire therapy is an FDA-approved internal neurostimulation treatment for obstructive sleep apnea. However, not all patients respond to this therapy, posing a challenge even for e…
Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques
Tejas Vyas, Mohsena Chowdhury, Xiaojiao Xiao +3
Mitral Transcatheter Edge-to-Edge Repair (mTEER) is a medical procedure utilized for the treatment of mitral valve disorders. However, predicting the outcome of the procedure poses…