Data models

Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data
Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
This prospective study on the greatest number of panic attacks to date suggests daily mood rating, state-level Twitter mood, and wearables data could each help predict next-day panic attack onset. read more

Introduction to the Special Section on Computational Modeling and Digital Twin Technology in Biomedical Engineering
Introduction to the Special Section on Computational Modeling and Digital Twin Technology in Biomedical Engineering 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Author(s): Marianna Laviola Abstract: Published in: IEEE Open Journal of Engineering in Medicine and Biology Page(s): 607 – 610 Year of Publication: 2024 Electronic ISSN: 2644-1276 DOI: 10.1109/OJEMB.2024.3428898 Publisher: IEEE…

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Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation Through End-to-End Data and Model Management
Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation Through End-to-End Data and Model Management 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
In the evolving field of medical imaging and machine learning (ML), this paper introduces a novel framework for evaluating synthetic pulmonary imaging aiming to assess synthetic data quality and applicability.… read more

Digital Twins of Biological Systems: A Narrative Review
Digital Twins of Biological Systems: A Narrative Review 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in… read more

PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Background: Deep learning models for patch classification in whole-slide images (WSIs) have shown promise in assisting follicular lymphoma grading. However, these models often require pathologists to identify centroblasts and manually… 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

Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management
Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Accurate short- and mid-term blood glucose predictions are crucial for patients with diabetes struggling to maintain healthy glucose levels, as well as for individuals at risk of developing the disease.… read more

Guest Editorial Introduction to the Special Section on Image-Guided Therapies
Guest Editorial Introduction to the Special Section on Image-Guided Therapies 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Numerous medical imaging modalities are clinically available and widely used in disease diagnosis and monitoring therapy response. Imaging data are also increasingly being used for constructing patient-specific computational models to… read more
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