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Development of a neural network predicting signals for time-domain diffuse optical tomography
Development of a neural network predicting signals for time-domain diffuse optical tomography
Time-domain diffuse optical tomography (TD-DOT) is a powerful method for diagnosing anomalies in biological tissue such as...
Optical coherence tomography for broad spectrum of thyroid carcinoma: a qualitative and quantitative analysis
Optical coherence tomography for broad spectrum of thyroid carcinoma: a qualitative and quantitative analysis
Optical coherence tomography (OCT) is a non-invasive imaging modality providing real-time micrometer-scale resolution with...
Single-channel gamma burst dynamics and adaptive deep learning for robust EEG motor state decoding
Single-channel gamma burst dynamics and adaptive deep learning for robust EEG motor state decoding
Reliable motor decoding from single-channel EEG remains challenging due to low signal quality and strong inter-session var...
Integrating optoacoustic microscopy with existing and emerging imaging modalities: a review
Integrating optoacoustic microscopy with existing and emerging imaging modalities: a review
Multimodal imaging integrates complementary contrasts to improve the understanding of physiological processes and disease ...
Deep learning-based multi-contrast windowing for task-specific medical image visualization
Deep learning-based multi-contrast windowing for task-specific medical image visualization
Windowing is the process in which the pixel values of an image are remapped to enhance the contrast of the regions of inte...
IC-TCA-Net: a multimodal fusion framework with dimensionality transformation for two-year recurrence prediction in NSCLC
IC-TCA-Net: a multimodal fusion framework with dimensionality transformation for two-year recurrence prediction in NSCLC
Accurate prediction of recurrence in non-small cell lung cancer (NSCLC) patients after curative surgery is essential for s...
Cardiovascular digital twin personalization using arterial blood pressure-driven optimization of a Windkessel–baroreflex model
Cardiovascular digital twin personalization using arterial blood pressure-driven optimization of a Windkessel–baroreflex model
Cardiovascular digital twins have emerged as powerful tools for modeling patient-specific cardiovascular physiology and su...
Phase-change perfluorocarbon nanodroplets enable spatiotemporal control of ultrasound and photoacoustic imaging and therapy
Phase-change perfluorocarbon nanodroplets enable spatiotemporal control of ultrasound and photoacoustic imaging and therapy
Phase-change perfluorocarbon nanodroplets (PFCnDs) are submicrometer, liquid-core agents capable of generating strong ultr...
Effect of R-R interval normalization on frequency domain analysis of heart rate variability during sleep
Effect of R-R interval normalization on frequency domain analysis of heart rate variability during sleep
To investigate the effect of R-R interval (RRI) normalization using different scaling factors ( $$^$$ ) on frequency-domai...
Prediction of breast cancer metastasis based on Tri-training using Dempster–Shafer theory
Prediction of breast cancer metastasis based on Tri-training using Dempster–Shafer theory
Machine learning applied to the clinical prediction of breast cancer mainly deals with a single view feature, so class imb...
Medication-specific risk of atrial fibrillation in patients with coronary artery disease
Medication-specific risk of atrial fibrillation in patients with coronary artery disease
Cardiovascular medications used in coronary artery disease (CAD) can potentially modulate the risk of incident atrial fibr...
Explainability guided feature selection for speech emotion recognition using SHAP and permutation importance
Explainability guided feature selection for speech emotion recognition using SHAP and permutation importance
Speech Emotion Recognition (SER) systems commonly rely on high-dimensional handcrafted acoustic feature sets, which increa...
Classification of physical function using a single IMU during walking in stroke patients
Classification of physical function using a single IMU during walking in stroke patients
Stroke leads to gait impairment and reduced physical function, making accurate functional assessment essential for effecti...
An adaptive consistency co-optimization network for semi-supervised medical image segmentation
An adaptive consistency co-optimization network for semi-supervised medical image segmentation
Semi-supervised learning alleviates the reliance on extensive labeled datasets, offering significant potential for address...
Virtual histological staining: toward standardization and clinical translation
Virtual histological staining: toward standardization and clinical translation
Histochemical staining is indispensable for histopathological diagnosis, enabling interpretation of cellular and tissue ar...
Comparing volitional electromyographic control strategies: from proportional mapping to muscle modeling and reflex augmentation
Comparing volitional electromyographic control strategies: from proportional mapping to muscle modeling and reflex augmentation
To advance intuitive volitional control for lower-limb prostheses, this study compares three torque control architectures ...
Double deep Q-network-based multi-drug chemotherapy scheduling optimization
Double deep Q-network-based multi-drug chemotherapy scheduling optimization
Designing optimal chemotherapy schedules remains a fundamental challenge in oncology, requiring a careful balance between ...
Advanced non-invasive brain neuromodulation: a comprehensive review of electric, magnetic, ultrasonic, and optical modalities
Advanced non-invasive brain neuromodulation: a comprehensive review of electric, magnetic, ultrasonic, and optical modalities
Non-invasive brain neuromodulation has emerged as a transformative frontier in neuroscience and clinical medicine, offerin...
A novel controllable energy constraints-variational mode decomposition denoising algorithm
A novel controllable energy constraints-variational mode decomposition denoising algorithm
Electrocardiogram (ECG) is mainly utilized for diagnosing heart diseases. However, various noises can influence the diagno...
Dimethylsiloxane polymers for the effective transdermal delivery of Minoxidil in hair loss treatment
Dimethylsiloxane polymers for the effective transdermal delivery of Minoxidil in hair loss treatment
Hair loss affects significant social and psychological well-being issues of the person. Thus, various drugs, ingredients, ...
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
The automated identification of the first and second heart sounds (S1 and S2, respectively) in phonocardiogram (PCG) signa...
Abuse-deterrent wearable device with potential for extended delivery of opioid drugs
Abuse-deterrent wearable device with potential for extended delivery of opioid drugs
Unethical attempts to misuse and overdose opioids have led to strict prescription limits, necessitating frequent hospital ...
A wearable approach for Sarcopenia diagnosis using stimulated muscle contraction signal
A wearable approach for Sarcopenia diagnosis using stimulated muscle contraction signal
Sarcopenia is a rapidly rising health concern in the fast-aging countries, but its demanding diagnostic process is a hurdl...
Automatic prediction of stroke treatment outcomes: latest advances and perspectives
Automatic prediction of stroke treatment outcomes: latest advances and perspectives
Stroke is a major global health problem that causes mortality and morbidity. Predicting the outcomes of stroke interventio...
Energy estimation methods for positron emission tomography detectors composed of multiple scintillators
Energy estimation methods for positron emission tomography detectors composed of multiple scintillators
The performance and image quality of positron emission tomography (PET) systems can be enhanced by strategically employing...