IEEE Open Journal of Engineering in Medicine and Biology

We represent a novel semi-supervised framework for medical image classification, which only needs limited labeled data to achieve excellent performance. read more

Cell tracking and motility analysis are essential for understanding multicellular processes, automated quantification in biomedical experiments, and medical diagnosis and treatment. read more

Effectively identify high gastric cancer risk patients with CGI from endoscopic images by a novel deep learning network without invasive biopsies. read more

A novel method for quantifying aleatoric and epistemic uncertainties in the unsupervised and unpaired MR-CT synthesis of scoliotic spines, thus improving model performance and providing interpretable outputs through confidence maps. read more

This study is the first attempt to combine the multiple modalities of facial expressions, speech, and EEG for emotion recognition. The accuracy and robustness of the emotion recognition method are improved using three improved deep learning models for each modality and an optimal weight distribution-based decision-level fusion method. read more

Our envisioned smartphone wound assessment system can reduce the significant burden that manual wound grading imposes on wound care nurses. read more

Continuous, robust, and non-invasive monitoring of vitals with only one wearable sensor having applications in remote, fitness, and mobile health-care devices where both RR and BP are desired. read more

There is no dynamic approach to decode the arousal from the arousal-performance link. Our algorithm decodes the arousal using skin conductance as well as cognitive performance. read more

Fractional-order calculus improves arterial compliance modeling for human vascular aging. Our model accurately estimates blood pressure distribution and stiffness, advancing the understanding of cardiovascular disease. read more

The presented computational study investigated the electrical impedance spectroscopy as a potential method to discriminate thyroid and parathyroid tissue during thyroidectomy. read more