6 papers
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns
Sevgi Altun, Mustafa Cem Gunes, Yusuf H. Sahin +3
This study integrates artificial intelligence and computational design tools to extract information from architectural heritage. Photogrammetry-based point cloud models of brick wa…
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
Ufuk Demir, Atahan Ozer, Yusuf H. Sahin +1
In recent years, deep learning based methods have shown success in essential medical image analysis tasks such as segmentation. Post-processing and refining the results of segmenta…
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation
Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff +1
We propose a new approach for the problem of relative depth estimation from a single image. Instead of directly regressing over depth scores, we formulate the problem as estimation…
EfficientSeg: An Efficient Semantic Segmentation Network
Vahit Bugra Yesilkaynak, Yusuf H. Sahin, Gozde Unal
Deep neural network training without pre-trained weights and few data is shown to need more training iterations. It is also known that, deeper models are more successful than their…
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…
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…