3 papers
cs.CV2024
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation
Meghana Karri, Amit Soni Arya, Koushik Biswas +5
This work proposes a novel framework, Uncertainty-Guided Cross Attention Ensemble Mean Teacher (UG-CEMT), for achieving state-of-the-art performance in semi-supervised medical imag…
eess.IV2024
Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost
Yalcin Tur, Vedat Cicek, Tufan Cinar +6
Pulmonary Embolism (PE) is a serious cardiovascular condition that remains a leading cause of mortality and critical illness, underscoring the need for enhanced diagnostic strategi…
eess.IV2023
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
Aliasghar Mortazi, Vedat Cicek, Elif Keles +1
The goal of this work is to identify the best optimizers for deep learning in the context of cardiac image segmentation and to provide guidance on how to design segmentation networ…