SCI时时刷

search
+
Sensitivity Analysis of Microstrip Patch Antenna Genres: Slotted and Through-hole Microstrip Patch Antenna
Sensitivity Analysis of Microstrip Patch Antenna Genres: Slotted and Through-hole Microstrip Patch Antenna
This paper demonstrates real-time, label-free, contact-based glucose sensor design of inset-fed Microstrip Patch Antenna (...
Advanced optimized nonlinear control strategies for prosthetic knee joints
Advanced optimized nonlinear control strategies for prosthetic knee joints
Prosthetic knee joints are at the forefront of medical innovation, serving as crucial tools in restoring mobility and enha...
Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study
Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study
NAFLD is gaining recognition as a complex, multifactorial condition with suspected associations with endocrine disorders. ...
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Robotic systems rely on spatio-temporal information to solve control tasks. With advancements in deep neural networks, rei...
Alzheimer’s disease recognition based on waveform and spectral speech signal processing
Alzheimer’s disease recognition based on waveform and spectral speech signal processing
Alzheimer’s disease (AD) is a neurodegenerative disorder with an irreversible progression. Currently, it is diagnose...
Enhanced model antigen retention in tissue through topical high-frequency ultrasound treatment
Enhanced model antigen retention in tissue through topical high-frequency ultrasound treatment
Reproducible control of tissue delivery and retention of a therapeutic agent facilitates the maximization of the efficacy ...
Graph structure based data augmentation method
Graph structure based data augmentation method
In this paper, we propose a novel graph-based data augmentation method that can generally be applied to medical waveform d...
A high performance heterogeneous hardware architecture for brain computer interface
A high performance heterogeneous hardware architecture for brain computer interface
Brain–computer interface (BCI) has been widely used in human–computer interaction. The introduction of artific...
Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study
Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study
A weight-bearing lateral radiograph (WBLR) of the foot is a gold standard for diagnosing adult-acquired flatfoot deformity...
Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery
Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery
Stereotactic systems have traditionally used Cartesian coordinate combined with linear algebraic mathematical models to na...
A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective
A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective
Low-dose computed tomography (LDCT) scans are essential in reducing radiation exposure but often suffer from significant i...
Innovative breast cancer detection using a segmentation-guided ensemble classification framework
Innovative breast cancer detection using a segmentation-guided ensemble classification framework
Breast cancer (BC) remains a significant global health issue, necessitating innovative methodologies to improve early dete...
Speech-mediated manipulation of da Vinci surgical system for continuous surgical flow
Speech-mediated manipulation of da Vinci surgical system for continuous surgical flow
With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (d...
A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
Osteoarthritis (OA) is a musculoskeletal disorder that affects weight-bearing joints like the hip, knee, spine, feet, and ...
CT synthesis with deep learning for MR-only radiotherapy planning: a review
CT synthesis with deep learning for MR-only radiotherapy planning: a review
MR-only radiotherapy planning is beneficial from the perspective of both time and safety since it uses synthetic CT for ra...
Excessive propagation of right frontal beta oscillations in patients with a history of major depressive disorder
Excessive propagation of right frontal beta oscillations in patients with a history of major depressive disorder
Patients suffering from various neurological disorders, including major depressive disorder (MDD), often exhibit abnormal ...
Driver fatigue recognition using limited amount of individual electroencephalogram
Driver fatigue recognition using limited amount of individual electroencephalogram
This study aims to create a fatigue recognition system that utilizes electroencephalogram (EEG) signals to assess a driver...
Orthopedic surgeon level joint angle assessment with artificial intelligence based on photography: a pilot study
Orthopedic surgeon level joint angle assessment with artificial intelligence based on photography: a pilot study
Accurate assessment of shoulder range of motion (ROM) is crucial for evaluating patient progress. Traditional manual gonio...
Gaussianmorph: deformable medical image registration with Gaussian noise constraints
Gaussianmorph: deformable medical image registration with Gaussian noise constraints
Deep learning-based image registration methods offer advantages of time efficiency and registration outcomes by automatica...
CT synthesis with deep learning for MR-only radiotherap planning: a review
CT synthesis with deep learning for MR-only radiotherap planning: a review
MR-only radiotherapy planning is beneficial from the perspective of both time and safety since it uses synthetic CT for ra...
A comprehensive review on Compton camera image reconstruction: from principles to AI innovations
A comprehensive review on Compton camera image reconstruction: from principles to AI innovations
Compton cameras have emerged as promising tools in biomedical imaging, offering sensitive gamma-ray imaging capabilities f...
Strategies for mitigating inter-crystal scattering effects in positron emission tomography: a comprehensive review
Strategies for mitigating inter-crystal scattering effects in positron emission tomography: a comprehensive review
Inter-crystal scattering (ICS) events in Positron Emission Tomography (PET) present challenges affecting system sensitivit...
A review of deep learning-based reconstruction methods for accelerated MRI using spatiotemporal and multi-contrast redundancies
A review of deep learning-based reconstruction methods for accelerated MRI using spatiotemporal and multi-contrast redundancies
Accelerated magnetic resonance imaging (MRI) has played an essential role in reducing data acquisition time for MRI. Accel...
New user authentication method based on eye-writing patterns identified from electrooculography for virtual reality applications
New user authentication method based on eye-writing patterns identified from electrooculography for virtual reality applications
Demand for user authentication in virtual reality (VR) applications is increasing such as in-app payments, password manage...
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...
Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system
Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system
The rise in individuals living alone in ageing societies raises concerns about social isolation and associated health risk...
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...
Recent advances in shape memory scaffolds and regenerative outcomes
Recent advances in shape memory scaffolds and regenerative outcomes
The advent of tissue engineering (TE) technologies has revolutionized human medicine over the last few decades. Despite sp...
PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion
PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion
Colorectal cancer ranks as the second most prevalent cancer worldwide, with a high mortality rate. Colonoscopy stands as t...
阅读更多
format_indent_increase