Search Results for author:
Found 3 papers, 1 papers with code
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification
In this paper, we propose a framework that incorporates experts diagnostics and insights into the analysis of Optical Coherence Tomography (OCT) using multi-modal learning.
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
Understanding Earth's subsurface structures has been and continues to be an essential component of various applications such as environmental monitoring, carbon sequestration, and oil and gas exploration.
UNIQUE: Unsupervised Image Quality Estimation
A linear decoder is trained with 7 GB worth of data, which corresponds to 100, 000 8x8 image patches randomly obtained from nearly 1, 000 images in the ImageNet 2013 database.
Ranked #1 on
Image Quality Assessment
on MSU NR VQA Database
