18 citations · 26 across the 7 of their papers we have counts for
7 papers
Mammographic Breast Positioning Assessment via Deep Learning
Toygar Tanyel, Nurper Denizoglu, Mustafa Ege Seker +5
Breast cancer remains a leading cause of cancer-related deaths among women worldwide, with mammography screening as the most effective method for the early detection. Ensuring prop…
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
Hongwei Bran Li, Fernando Navarro, Ivan Ezhov +77
Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising from differences in interpretations and annotations by various experts, presents a sign…
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation
Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel
Convolutional Neural Networks (CNNs) have become widely adopted for medical image segmentation tasks, demonstrating promising performance. However, the inherent inductive biases in…
Explainable Image Quality Assessment for Medical Imaging
Caner Ozer, Arda Guler, Aysel Turkvatan Cansever +1
Medical image quality assessment is an important aspect of image acquisition, as poor-quality images may lead to misdiagnosis. Manual labelling of image quality is a tedious task f…
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching
Mahyar Bolhassani, Ilkay Oksuz
Automatic segmentation of the heart cavity is an essential task for the diagnosis of cardiac diseases. In this paper, we propose a semi-supervised segmentation setup for leveraging…
Prostate Lesion Estimation using Prostate Masks from Biparametric MRI
Ahmet Karagoz, Mustafa Ege Seker, Mert Yergin +5
Biparametric MRI has emerged as an alternative to multiparametric prostate MRI, which eliminates the need for the potential harms to the patient due to the contrast medium. One maj…