6 citations · 6 across the 3 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
Mehmet Aygün, Yusuf Hüseyin Şahin, Gözde Ünal
In this work, we propose a multi-modal Convolutional Neural Network (CNN) approach for brain tumor segmentation. We investigate how to combine different modalities efficiently in t…
cs.CV2018
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir +1
Magnetic Resonance Angiography (MRA) has become an essential MR contrast for imaging and evaluation of vascular anatomy and related diseases. MRA acquisitions are typically ordered…
cs.CV2018
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir, Gozde Unal
Area of image inpainting over relatively large missing regions recently advanced substantially through adaptation of dedicated deep neural networks. However, current network soluti…