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eess.IV2026
An Accessible Solution for Deformable Image Registration Compared with Learning-Based Approaches
Onur Ali Zeybekoglu, David Tilly, Orcun Goksel
Deformable image registration (DIR) is a core problem in medical image analysis; but, unlike labeling decision problems such as classification and segmentation, registration is a p…
eess.IV2026
DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction
Can Deniz Bezek, Orcun Goksel
Medical imaging aims to recover underlying tissue properties, using inexact (simplified/linearized) imaging models and often from inaccurate and incomplete measurements. Analytical…
eess.IV2024
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li +5
Despite their effectiveness, current deep learning models face challenges with images coming from different domains with varying appearance and content. We introduce SegCLR, a vers…