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Simultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework
Noninvasive, accurate, and simultaneous grading of liver fibrosis, inflammation, and steatosis is valuable for reversing the progression and...
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ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration
AbstractRetinal image registration is of utmost importance due to its wide applications in medical practice. In this context, we propose ConKeD, a...
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Enhanced deep leaning model for detection and grading of lumbar disc herniation from MRI
Lumbar disc herniation is one of the most prevalent orthopedic issues in clinical practice. The lumbar spine is a crucial joint for movement and...
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DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model
AbstractContinuous blood pressure (BP) provides essential information for monitoring one’s health condition. However, BP is currently monitored using...
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Left ventricle diastolic vortex ring characterization in ischemic cardiomyopathy: insight into atrio-ventricular interplay
Diastolic vortex ring (VR) plays a key role in the blood-pum** function exerted by the left ventricle (LV), with altered VR structures being...
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Modeling and control of COVID-19 disease using deep reinforcement learning method
The prevalence of epidemics has been studied by researchers in various fields. In the last 2 years, the outbreak of COVID-19 has affected the health,...
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Continuous mobile measurement of camptocormia angle using four accelerometers
Camptocormia, a severe flexion deformity of the spine, presents challenges in monitoring its progression outside laboratory settings. This study...
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Multi-file dynamic compression method based on classification algorithm in DNA storage
AbstractThe exponential growth in data volume has necessitated the adoption of alternative storage solutions, and DNA storage stands out as the most...
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VascuConNet: an enhanced connectivity network for vascular segmentation
Medical image segmentation commonly involves diverse tissue types and structures, including tasks such as blood vessel segmentation and nerve fiber...
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Proximal cementation of a collarless polished tapered hip stem: biomechanical analysis using a validated finite element model
Total hip replacement (THR) with cemented stem is a common procedure for patients with hip osteoarthritis. When primary THR fails, removal of the...
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SMILEY—assistive application to support social and emotional skills in SPCD individuals
AbstractAccording to the available studies, mobile applications have provided significant support in improving the diverse skills of special...
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Classification of Parkinson’s disease severity using gait stance signals in a spatiotemporal deep learning classifier
AbstractParkinson’s disease (PD) is a degenerative nervous system disorder involving motor disturbances. Motor alterations affect the gait according...
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A unified approach for Parkinson’s disease recognition: imbalance mitigation and grid search optimized boosting with LightGBM
The work elucidates the importance of accurate Parkinson’s disease classification within medical diagnostics and introduces a novel framework for...
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Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus...
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Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning
AbstractBlindness is preventable by early detection of ocular abnormalities. Computer-aided diagnosis for ocular abnormalities is built by analyzing...
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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dysfunction. Accurately predicting the demand for...
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Influence of framing coil orientation and its shape on the hemodynamics of a basilar aneurysm model
AbstractAneurysms are bulges of an artery, which require clinical management solutions. Due to the inherent advantages, endovascular coil filling is...
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Machine learning models’ assessment: trust and performance
AbstractThe common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread...
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Layer-selective deep representation to improve esophageal cancer classification
AbstractEven though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their...
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Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery
Ultrasound (US) has been introduced to computer-assisted orthopedic surgery for bone registration owing to its advantages of nonionizing radiation,...
