3 papers
eess.IV2024
WAVE-UNET: Wavelength based Image Reconstruction method using attention UNET for OCT images
Maryam Viqar, Erdem Sahin, Violeta Madjarova +2
In this work, we propose to leverage a deep-learning (DL) based reconstruction framework for high quality Swept-Source Optical Coherence Tomography (SS-OCT) images, by incorporatin…
eess.SP2021
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation
Mehmet Yamac, Ugur Akpinar, Erdem Sahin +2
In CS literature, the efforts can be divided into two groups: finding a measurement matrix that preserves the compressed information at the maximum level, and finding a reconstruct…
eess.IV2019
Learning Wavefront Coding for Extended Depth of Field Imaging
Ugur Akpinar, Erdem Sahin, Monjurul Meem +2
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information. Extended depth of field (EDoF) imaging is a challengin…