4 papers
Playing to Par: Reinforcement Learning for Provably Optimal Quadrilateral Block Decompositions
Arjun Narayanan, Per-Olof Persson
A quadrilateral block decomposition of a planar domain is judged by whether it is complete, whether its elements are well shaped, and how many of its vertices are irregular. The la…
Text-Guided Diffusion-Based Adversarial Attacks on Chest X-Ray Images
Basudha Pal, Arjun Narayanan, Neha Ajith +2
As artificial intelligence is increasingly integrated into chest X-ray (CXR) interpretation, triage, and clinical decision support, understanding its vulnerability to adversarial m…
LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
Arjun Narayanan, Fanwei Kong, Shawn Shadden
We present a deep learning model to automatically generate computer models of the human heart from patient imaging data with an emphasis on its capability to generate thin-walled c…
Learning topological operations on meshes with application to block decomposition of polygons
Arjun Narayanan, Yulong Pan, Per-Olof Persson
We present a learning based framework for mesh quality improvement on unstructured triangular and quadrilateral meshes. Our model learns to improve mesh quality according to a pres…