16.2k citations · 16.2k across the 2 of their papers we have counts for
3 papers · 1 filter
One-Step Diffusion Distillation via Deep Equilibrium Models
Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
Diffusion models excel at producing high-quality samples but naively require hundreds of iterations, prompting multiple attempts to distill the generation process into a faster net…
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala +6
Importance: Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. Objective: To develop and validate a set of deep…
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
Jay Patravali, Shubham Jain, Sasank Chilamkurthy
In this paper, we develop a 2D and 3D segmentation pipelines for fully automated cardiac MR image segmentation using Deep Convolutional Neural Networks (CNN). Our models are traine…