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Pixel-based small-window parametric ultrasound imaging for liver tumor characterization
Pixel-based small-window parametric ultrasound imaging for liver tumor characterization
Characterizing liver tumors remains a challenge in clinical practice. Ultrasound parametric imaging based on statistical d...
Prediction of prognosis in supramalleolar osteotomy with or without additional fibula osteotomy by approaching a biomechanical study: a finite element analysis
Prediction of prognosis in supramalleolar osteotomy with or without additional fibula osteotomy by approaching a biomechanical study: a finite element analysis
Supramalleolar osteotomy (SMO) is a representative procedure to restore a malalignment in the varus ankle deformity by shi...
Unsupervised spike sorting for multielectrode arrays based on spike shape features and location methods
Unsupervised spike sorting for multielectrode arrays based on spike shape features and location methods
Microelectrode arrays (MEAs) enable simultaneous measurement of spike trains from numerous neurons, owing to advancements ...
Correction: Recent progress in DNA data storage based on high-throughput DNA synthesis
Correction: Recent progress in DNA data storage based on high-throughput DNA synthesis
In this article, few errors are identified in the text and figure captions. The detai...
Macrophage membrane coated discoidal polymeric particles for evading phagocytosis
Macrophage membrane coated discoidal polymeric particles for evading phagocytosis
The purpose of this study was to investigate the potential of discoidal polymeric particles (DPPs) coated with macrophage ...
Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives
Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives
In this paper, a comprehensive exploration is undertaken to elucidate the utilization of Spiking Neural Networks (SNNs) wi...
Semi-supervised CT image segmentation via contrastive learning based on entropy constraints
Semi-supervised CT image segmentation via contrastive learning based on entropy constraints
Deep learning-based methods for fast target segmentation of computed tomography (CT) imaging have become increasingly popu...
GT-Net: global transformer network for multiclass brain tumor classification using MR images
GT-Net: global transformer network for multiclass brain tumor classification using MR images
Multiclass classification of brain tumors from magnetic resonance (MR) images is challenging due to high inter-class simil...
Cross-domain additive learning of new knowledge rather than replacement
Cross-domain additive learning of new knowledge rather than replacement
In medical clinical scenarios for reasons such as patient privacy, information protection and data migration, when domain ...
Monte Carlo methods for medical imaging research
Monte Carlo methods for medical imaging research
In radiation-based medical imaging research, computational modeling methods are used to design and validate imaging system...
Computer modelling and vegetable bench test of a bipolar electrode array intended for use in high frequency irreversible electroporation treatment of skin cancer
Computer modelling and vegetable bench test of a bipolar electrode array intended for use in high frequency irreversible electroporation treatment of skin cancer
Pulsed electrical field (PEF) ablation is an energy-based technique used to treat a range of cancers by irreversible elect...
Self-supervised learning for CT image denoising and reconstruction: a review
Self-supervised learning for CT image denoising and reconstruction: a review
This article reviews the self-supervised learning methods for CT image denoising and reconstruction. Currently, deep learn...
L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration
L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration
In recent years, deep learning has ushered in significant development in medical image registration, and the method of non...
A pilot study: effect of somatosensory loss on motor corrections in response to unknown loads in a reaching task by chronic stroke survivors
A pilot study: effect of somatosensory loss on motor corrections in response to unknown loads in a reaching task by chronic stroke survivors
Despite recent studies indicating a significant correlation between somatosensory deficits and rehabilitation outcomes, ho...
A novel approach to characterize the correction path features for the tibia deformity correction
A novel approach to characterize the correction path features for the tibia deformity correction
Preoperative correction path planning is an important preparation for obtaining the desired correction. However, a conveni...
Comparison of recognition methods for an asynchronous (un-cued) BCI system: an investigation with 40-class SSVEP dataset
Comparison of recognition methods for an asynchronous (un-cued) BCI system: an investigation with 40-class SSVEP dataset
Steady-state visual evoked potential (SSVEP)-based brain-computer Interface (BCI) has demonstrated the potential to manage...
A review of functional neuromodulation in humans using low-intensity transcranial focused ultrasound
A review of functional neuromodulation in humans using low-intensity transcranial focused ultrasound
Transcranial ultrasonic neuromodulation is a rapidly burgeoning field where low-intensity transcranial focused ultrasound ...
Study of mechanical property and biocompatibility of graphene oxide/MEO2MA hydrogel scaffold for wound healing application
Study of mechanical property and biocompatibility of graphene oxide/MEO2MA hydrogel scaffold for wound healing application
Wound healing is a complex biological process crucial for restoring tissue integrity and preventing infections. The develo...
A multimodal framework based on deep belief network for human locomotion intent prediction
A multimodal framework based on deep belief network for human locomotion intent prediction
Accurate prediction of human locomotion intent benefits the seamless switching of lower limb exoskeleton controllers in di...
Floating electrode–dielectric barrier discharge-based plasma promotes skin regeneration in a full-thickness skin defect mouse model
Floating electrode–dielectric barrier discharge-based plasma promotes skin regeneration in a full-thickness skin defect mouse model
Wound healing involves a complex and dynamic interplay among various cell types, cytokines, and growth factors. Macrophage...
Nonlinear beamforming for intracardiac echocardiography: a comparative study
Nonlinear beamforming for intracardiac echocardiography: a comparative study
Intracardiac echocardiography (ICE) enables cardiac imaging with a wide field of view, deep imaging depth, and high frame ...
Multi-physics simulations for investigating the effect of electrode conditions on transscleral ocular iontophoresis for particulate drug delivery into ocular tissues
Multi-physics simulations for investigating the effect of electrode conditions on transscleral ocular iontophoresis for particulate drug delivery into ocular tissues
Transscleral ocular iontophoresis has been proposed to deliver charged particulate drugs to ocular tissues effectively by ...
Optimal design of bone tumor ablation device based on radio frequency heating using Taguchi method
Optimal design of bone tumor ablation device based on radio frequency heating using Taguchi method
This study investigated the optimal design of a radio-frequency (RF) bone tumor ablation device to achieve uniform heating...
Bioelectric medicine: unveiling the therapeutic potential of micro-current stimulation
Bioelectric medicine: unveiling the therapeutic potential of micro-current stimulation
Bioelectric medicine (BEM) refers to the use of electrical signals to modulate the electrical activity of cells and tissue...
Location-based electrotactile feedback localizes hitting point in virtual-reality table tennis game
Location-based electrotactile feedback localizes hitting point in virtual-reality table tennis game
Learning new motor skills is often challenged by sensory mismatches. For reliable sensory information, people have activel...
A review of algorithms and software for real-time electric field modeling techniques for transcranial magnetic stimulation
A review of algorithms and software for real-time electric field modeling techniques for transcranial magnetic stimulation
Transcranial magnetic stimulation (TMS) is a device-based neuromodulation technique increasingly used to treat brain disea...
Recent progress in DNA data storage based on high-throughput DNA synthesis
Recent progress in DNA data storage based on high-throughput DNA synthesis
DNA data storage has emerged as a solution for storing massive volumes of data by utilizing nucleic acids as a digital inf...
Dual threshold input receiver FPGA-only signal digitization method for time-of-flight positron emission tomography
Dual threshold input receiver FPGA-only signal digitization method for time-of-flight positron emission tomography
As silicon photomultiplier (SiPM)-based time-of-flight (TOF) positron emission tomography (PET) becomes popular, the need ...
Automated analysis of fetal heart rate baseline/acceleration/deceleration using MTU-Net3 + model
Automated analysis of fetal heart rate baseline/acceleration/deceleration using MTU-Net3 + model
In clinical practice, obstetricians use visual interpretation of fetal heart rate (FHR) to diagnose fetal conditions, but ...
Automated assessment of mental workload from PPG sensor data using cross-wavelet coherence and transfer learning
Automated assessment of mental workload from PPG sensor data using cross-wavelet coherence and transfer learning
Highly complex cognitive works require more brain power. The productivity of a person suffers due to this strain, which is...
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