63 citations · 123 across the 6 of their papers we have counts for
9 papers
Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans
Luka Posilović, Duje Medak, Marko Subasic +2
Non-destructive testing is a set of techniques for defect detection in materials. While the set of imaging techniques are manifold, ultrasonic imaging is the one used the most. The…
Illumination Estimation Challenge: experience of past two years
Egor Ershov, Alex Savchik, Ilya Semenkov +15
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…
The Cube++ Illumination Estimation Dataset
Egor Ershov, Alex Savchik, Illya Semenkov +6
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image process…
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning
Julian Lo, Morgan Heisler, Vinicius Vanzan +6
Purpose: Optical Coherence Tomography Angiography (OCT-A) permits visualization of the changes to the retinal circulation due to diabetic retinopathy (DR), a microvascular complica…
Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms
Morgan Heisler, Forson Chan, Zaid Mammo +15
Automatic quantification of perifoveal vessel densities in optical coherence tomography angiography (OCT-A) images face challenges such as variable intra- and inter-image signal to…
AXS: A framework for fast astronomical data processing based on Apache Spark
Petar Zečević, Colin T. Slater, Mario Jurić +5
We introduce AXS (Astronomy eXtensions for Spark), a scalable open-source astronomical data analysis framework built on Apache Spark, a widely used industry-standard engine for big…