AIMC Journal:
IEEE transactions on bio-medical engineering

Showing 201 to 210 of 342 articles

JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.

IEEE transactions on bio-medical engineering Apr 25, 2019
OBJECTIVE: The purpose of this paper is to propose a novel algorithm for joint optic disc and cup segmentation, which aids the glaucoma detection.
Humans Neural Networks, Computer Glaucoma Image Interpretation, Computer-Assisted Optic Disk Algorithms Databases, Factual
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Image Quality Improvement of Hand-Held Ultrasound Devices With a Two-Stage Generative Adversarial Network.

IEEE transactions on bio-medical engineering Apr 24, 2019
As a widely used imaging modality in the medical field, ultrasound has been applied in community medicine, rural medicine, and even telemedicine in recent years. Therefore, the development of portable ultrasound devices has become a popular research ...
Ultrasonography Image Processing, Computer-Assisted Equipment Design Carotid Arteries Humans Machine Learning Algorithms Phantoms, Imaging
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Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data.

IEEE transactions on bio-medical engineering Apr 3, 2019
Currently available risk prediction methods are limited in their ability to deal with complex, heterogeneous, and longitudinal data such as that available in primary care records, or in their ability to deal with multiple competing risks. This paper ...
Deep Learning Longitudinal Studies Cystic Fibrosis Survival Analysis Humans Databases, Factual
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Information Theoretic Feature Transformation Learning for Brain Interfaces.

IEEE transactions on bio-medical engineering Mar 28, 2019
OBJECTIVE: A variety of pattern analysis techniques for model training in brain interfaces exploit neural feature dimensionality reduction based on feature ranking and selection heuristics. In the light of broad evidence demonstrating the potential s...
Female Young Adult Adult Male Machine Learning Algorithms Brain Imagination Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans
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Deep Collaborative Learning With Application to the Study of Multimodal Brain Development.

IEEE transactions on bio-medical engineering Mar 13, 2019
OBJECTIVE: Multi-modal functional magnetic resonance imaging has been widely used for brain research. Conventional data-fusion methods cannot capture complex relationship (e.g., nonlinear predictive relationship) between multiple data. This paper aim...
Humans Algorithms Brain Adolescent Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Young Adult Adult Deep Learning
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Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control.

IEEE transactions on bio-medical engineering Feb 26, 2019
SIGNIFICANCE: The performance of traditional approaches to decoding movement intent from electromyograms (EMGs) and other biological signals commonly degrade over time. Furthermore, conventional algorithms for training neural network based decoders m...
Artificial Limbs Humans Signal Processing, Computer-Assisted Intention Algorithms Biomedical Engineering Electromyography Movement Deep Learning Amputees
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Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.

IEEE transactions on bio-medical engineering Feb 22, 2019
OBJECTIVE: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example, in Ki67 immunohistochemistry stained images. Although many automated methods have been proposed, most use a multi-stage processing pipeli...
Microscopy Image Interpretation, Computer-Assisted Cell Nucleus Neural Networks, Computer Immunohistochemistry Algorithms Neuroendocrine Tumors Humans Databases, Factual Ki-67 Antigen Pancreatic Neoplasms Supervised Machine Learning
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The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning.

IEEE transactions on bio-medical engineering Feb 21, 2019
OBJECTIVE: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a...
Foot Shoes Gait Pressure Gait Analysis Equipment Design Signal Processing, Computer-Assisted Walking Young Adult Adult Humans Deep Learning Wearable Electronic Devices
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A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease.

IEEE transactions on bio-medical engineering Feb 18, 2019
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti...
Humans Reproducibility of Results Aged Machine Learning Female Accelerometry Parkinson Disease Hypokinesia Normal Distribution Male Signal Processing, Computer-Assisted Wrist Tremor Movement Middle Aged Monitoring, Ambulatory Wearable Electronic Devices
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Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation.

IEEE transactions on bio-medical engineering Feb 18, 2019
In this paper, we present a deep learning framework "Rehab-Net" for effectively classifying three upper limb movements of the human arm, involving extension, flexion, and rotation of the forearm, which, over the time, could provide a measure of rehab...
Support Vector Machine Cluster Analysis Arm Stroke Rehabilitation Movement Human Activities Humans Middle Aged Algorithms Deep Learning Wearable Electronic Devices Female Aged Male
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