2 papers
cs.LG2025
LVADNet3D: A Deep Autoencoder for Reconstructing 3D Intraventricular Flow from Sparse Hemodynamic Data
Mohammad Abdul Hafeez Khan, Marcello Mattei Di Eugeni, Benjamin Diaz +3
Accurate assessment of intraventricular blood flow is essential for evaluating hemodynamic conditions in patients supported by Left Ventricular Assist Devices (LVADs). However, cli…
cs.LG2025
Test-time Prompt Refinement for Text-to-Image Models
Mohammad Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya +1
Text-to-image (T2I) generation models have made significant strides but still struggle with prompt sensitivity: even minor changes in prompt wording can yield inconsistent or inacc…