1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
Shuja Khalid, Frank Rudzicz
This paper explores how graph neural networks (GNNs) can be used to enhance visual scene understanding and surgical skill assessment. By using GNNs to analyze the complex visual da…
cs.CV2023★ 1 cited
RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters
Shuja Khalid, Frank Rudzicz
Novel view synthesis (NVS) is a challenging task in computer vision that involves synthesizing new views of a scene from a limited set of input images. Neural Radiance Fields (NeRF…
cs.LG2022
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data
Shuja Khalid, Francisco Matos, Ayman Abunimer +6
30-day hospital readmission is a long standing medical problem that affects patients' morbidity and mortality and costs billions of dollars annually. Recently, machine learning mod…