AIMC Journal:
Computer methods and programs in biomedicine

Showing 441 to 450 of 844 articles

MedmeshCNN - Enabling meshcnn for medical surface models.

Computer methods and programs in biomedicine Aug 27, 2021
BACKGROUND AND OBJECTIVE: MeshCNN is a recently proposed Deep Learning framework that drew attention due to its direct operation on irregular, non-uniform 3D meshes. It outperformed state-of-the-art methods in classification and segmentation tasks of...
Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Deep learning enabled brain shunt valve identification using mobile phones.

Computer methods and programs in biomedicine Aug 13, 2021
BACKGROUND AND OBJECTIVE: Accurate information concerning implanted medical devices prior to a Magnetic resonance imaging (MRI) examination is crucial to assure safety of the patient and to address MRI induced unintended changes in device settings. T...
Cell Phone Prostheses and Implants Brain Humans Deep Learning Ecosystem
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Machine Learning for personalised stress detection: Inter-individual variability of EEG-ECG markers for acute-stress response.

Computer methods and programs in biomedicine Aug 8, 2021
Stress appears as a response for a broad variety of physiological stimuli. It does vary among individuals in amplitude, phase and frequency. Thus, the necessity for personalised diagnosis is key to prevent stress-related diseases. In order to evaluat...
Electrocardiography Electroencephalography Adolescent Exercise Test Machine Learning Adult Young Adult Humans
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Precise laminae segmentation based on neural network for robot-assisted decompressive laminectomy.

Computer methods and programs in biomedicine Aug 5, 2021
BACKGROUND AND OBJECTIVE: The decompressive laminectomy is one of the most common operations to treat lumbar spinal stenosis by removing the laminae above the spinal nerve. Recently, an increasing number of robots are deployed during the surgical pro...
Image Processing, Computer-Assisted Robotics Neural Networks, Computer Laminectomy Spine
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Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.

Computer methods and programs in biomedicine Aug 4, 2021
BACKGROUND: After the treatment of the patients with malignant lymphoma, there may persist lesions that must be labeled either as evolutive lymphoma requiring new treatments or as residual masses. We present in this work, a machine learning-based com...
Machine Learning Neural Networks, Computer Support Vector Machine Magnetic Resonance Imaging Algorithms Humans Lymphoma
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Residual dense network for medical magnetic resonance images super-resolution.

Computer methods and programs in biomedicine Aug 4, 2021
BACKGROUND AND OBJECTIVE: High-resolution magnetic resonance images (MRI) help experts to localize lesions and diagnose diseases, but it is difficult to obtain high-resolution MRI. Furthermore, image super-resolution technology based on deep learning...
Neural Networks, Computer Magnetic Resonance Imaging Signal-To-Noise Ratio Image Processing, Computer-Assisted Algorithms
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A semi-supervised autoencoder framework for joint generation and classification of breathing.

Computer methods and programs in biomedicine Jul 31, 2021
BACKGROUND AND OBJECTIVE: One of the main problems with biomedical signals is the limited amount of patient-specific data and the significant amount of time needed to record the sufficient number of samples needed for diagnostic and treatment purpose...
Diagnosis, Computer-Assisted Neural Networks, Computer Humans Algorithms
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TEM virus images: Benchmark dataset and deep learning classification.

Computer methods and programs in biomedicine Jul 29, 2021
BACKGROUND AND OBJECTIVE: To achieve the full potential of deep learning (DL) models, such as understanding the interplay between model (size), training strategy, and amount of training data, researchers and developers need access to new dedicated im...
Deep Learning Neural Networks, Computer Microscopy, Electron, Transmission Benchmarking
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DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos.

Computer methods and programs in biomedicine Jul 27, 2021
BACKGROUND AND OBJECTIVE: Object detection is a primary research interest in computer vision. Sperm-cell detection in a densely populated bull semen microscopic observation video presents challenges that are more difficult than those presented by oth...
Cattle Semen Male Animals Spermatozoa Neural Networks, Computer
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Bone collision detection method for robot assisted fracture reduction based on force curve slope.

Computer methods and programs in biomedicine Jul 27, 2021
BACKGROUND AND OBJECTIVE: The application of robot technology in fracture reduction ensures the minimal invasiveness and accurate operation process. Most of the existing robot assisted fracture reduction systems don't have the function of bone collis...
Robotics Fractures, Bone Fracture Fixation Bone and Bones Humans Computer Simulation
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