112 citations · 411 across the 40 of their papers we have counts for
13 papers · 1 filter
Evaluation of AI-based Visual Crack Detection in Steel Bridges Using Probability of Detection
Andrii Kompanets, Finn Michael Sherry, Remco Duits +2
Bridge structures are regularly inspected for structural damage such as cracks and corrosion in order to ensure public safety and reduce maintenance costs. Much research has been d…
Segmentation tool for images of cracks
Andrii Kompanets, Remco Duits, Davide Leonetti +3
Safety-critical infrastructures, such as bridges, are periodically inspected to check for existing damage, such as fatigue cracks and corrosion, and to guarantee the safe use of th…
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
Andrii Kompanets, Gautam Pai, Remco Duits +2
Automating the current bridge visual inspection practices using drones and image processing techniques is a prominent way to make these inspections more effective, robust, and less…
Optimal Transport on the Lie Group of Roto-translations
Daan Bon, Gautam Pai, Gijs Bellaard +2
The roto-translation group SE2 has been of active interest in image analysis due to methods that lift the image data to multi-orientation representations defined on this Lie group.…
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim +2
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications. We propose a framework t…
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets
Jie Xing, Zheren Li, Biyuan Wang +6
Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the b…