8 citations · 11 across the 3 of their papers we have counts for
3 papers
eess.IV2019
Medical Imaging with Deep Learning: MIDL 2019 -- Extended Abstract Track
M. Jorge Cardoso, Aasa Feragen, Ben Glocker +4
This compendium gathers all the accepted extended abstracts from the Second International Conference on Medical Imaging with Deep Learning (MIDL 2019), held in London, UK, 8-10 Jul…
cs.CV2019★ 3 cited
Adversarial Augmentation for Enhancing Classification of Mammography Images
Lukas Jendele, Ondrej Skopek, Anton S. Becker +1
Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging. On t…
cs.LG2014★ 8 cited
Approximate False Positive Rate Control in Selection Frequency for Random Forest
Ender Konukoglu, Melanie Ganz
Random Forest has become one of the most popular tools for feature selection. Its ability to deal with high-dimensional data makes this algorithm especially useful for studies in n…