3 papers
cs.LG2019
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis
Erdi Çallı, Keelin Murphy, Ecem Sogancioglu +1
In this work, we propose a method to reject out-of-distribution samples which can be adapted to any network architecture and requires no additional training data. Publicly availabl…
cs.CV2018
Context Encoding Chest X-rays
Davide Belli, Shi Hu, Ecem Sogancioglu +1
Chest X-rays are one of the most commonly used technologies for medical diagnosis. Many deep learning models have been proposed to improve and automate the abnormality detection ta…
cs.GR2018
Chest X-ray Inpainting with Deep Generative Models
Ecem Sogancioglu, Shi Hu, Davide Belli +1
Generative adversarial networks have been successfully applied to inpainting in natural images. However, the current state-of-the-art models have not yet been widely adopted in the…