feature extraction

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

Scalable Neuroanatomical and Behavioral Phenotyping of Radio Frequency Radiation on Young Zebrafish
Scalable Neuroanatomical and Behavioral Phenotyping of Radio Frequency Radiation on Young Zebrafish 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Objective: In our wireless-centric world, evaluating the health effects of radio frequency electromagnetic radiation (RF-EMR) is crucial. An existing research gap pertains to the replication of real-world specific absorption rates… read more

Passive Radar Sensing for Human Activity Recognition: A Survey
Passive Radar Sensing for Human Activity Recognition: A Survey 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Continuous and unobtrusive monitoring of daily human activities in homes can potentially improve the quality of life and prolong independent living for the elderly and people with chronic diseases by… 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

Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications
Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. Methods: We proposed an end-to-end data preprocessing framework… 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

Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning
Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Recently, deep learning-based methods have emerged as the preferred approach for ultrasound data analysis. However, these methods often require large-scale annotated datasets for training deep models, which are not readily… read more

NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification
NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: The purpose of this paper is to recognize autism spectrum disorders (ASD) using graph attention network. Methods: we propose a node features graph attention network (NF-GAT) for learning functional… read more
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