deep learning

Fetal-BET: Brain Extraction Tool for Fetal MRI
Fetal-BET: Brain Extraction Tool for Fetal MRI 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In this study, we address the critical challenge of fetal brain extraction from MRI sequences. Fetal MRI has played a crucial role in prenatal neurodevelopmental studies and in advancing… read more

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction
Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed… read more

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction
Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed… read more

Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection
Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Sleep Apnea (SA) is a prevalent sleep disorder with multifaceted etiologies that can have severe consequences for patients. Diagnosing SA traditionally relies on the in-laboratory polysomnogram (PSG), which records various… read more

Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications
Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Researchers in biomedical engineering are increasingly turning to weakly-supervised deep learning (WSDL) techniques [1] to tackle challenges in biomedical data analysis, which often involves noisy, limited, or imprecise expert annotations… read more

Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In light of the COVID-19 pandemic, the early diagnosis of respiratory diseases has become increasingly crucial. Traditional diagnostic methods such as computed tomography (CT) and magnetic resonance imaging (MRI),… read more

NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning
NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Auscultation for neonates is a simple and non-invasive method of diagnosing cardiovascular and respiratory disease. However, obtaining high-quality chest sounds containing only heart or lung sounds is non-trivial. Hence,… read more

A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept
A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In this study, we demonstrate that a deep neural network (DNN) can be trained to reconstruct high-contrast images, resembling those produced by the multistatic Synthetic Aperture (SA) method using… read more

Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features
Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: The early diagnosis and treatment of hepatitis is essential to reduce hepatitis-related liver function deterioration and mortality. One component of the widely-used Ishak grading system for the grading of… read more

Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods
Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education… read more
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