27 citations · 28 across the 3 of their papers we have counts for
3 papers
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Sylwia Majchrowska, Anders Hildeman, Philip Teare +1
Supervised training of deep learning models for medical imaging applications requires a significant amount of labeled data. This is posing a challenge as the images are required to…
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
Maria Ferlin, Sylwia Majchrowska, Marta Plantykow +4
Labeling is the cornerstone of supervised machine learning, which has been exploited in a plethora of various applications, with sign language recognition being one of them. Howeve…
The (de)biasing effect of GAN-based augmentation methods on skin lesion images
Agnieszka Mikołajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros
New medical datasets are now more open to the public, allowing for better and more extensive research. Although prepared with the utmost care, new datasets might still be a source…