AIMC Topic: Models, Anatomic

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A node-based informed modularity strategy to identify organizational modules in anatomical networks.

Biology open Oct 19, 2020
The study of morphological modularity using anatomical networks is growing in recent years. A common strategy to find the best network partition uses community detection algorithms that optimize the modularity Q function. Because anatomical networks ...
Algorithms Skull Models, Anatomic Humans Neural Networks, Computer
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Robot-Automated Cartilage Contouring for Complex Ear Reconstruction: A Cadaveric Study.

The Laryngoscope Sep 11, 2020
OBJECTIVES/HYPOTHESIS: Auricular reconstruction requiring manual contouring of costal cartilage is complex and time consuming, which could be facilitated by a robot in a fast and precise manner. This feasibility study evaluates the accuracy and speed...
Models, Anatomic Patient Care Planning Humans Costal Cartilage Retrospective Studies Feasibility Studies Cadaver Time Factors Ear Cartilage Transplantation, Autologous Robotics Plastic Surgery Procedures
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Machine learning methods to support personalized neuromusculoskeletal modelling.

Biomechanics and modeling in mechanobiology Jul 16, 2020
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from personalized neuromusculoskeletal models. Applications include refined diagnostics, prediction of treatment trajectories for neuromusculoskeletal diseases, ...
Models, Anatomic Nervous System Musculoskeletal System Biomechanical Phenomena Imaging, Three-Dimensional Humans Machine Learning
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Automated labeling of the airway tree in terms of lobes based on deep learning of bifurcation point detection.

Medical & biological engineering & computing Jul 2, 2020
This paper presents an automatic lobe-based labeling of airway tree method, which can detect the bifurcation points for reconstructing and labeling the airway tree from a computed tomography image. A deep learning-based network structure is designed ...
Tomography, X-Ray Computed Lung Deep Learning Humans Algorithms Computer Simulation Bronchi Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Computational Biology Trachea Models, Anatomic
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Leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery.

International journal of computer assisted radiology and surgery Apr 22, 2020
PURPOSE: Surgical simulations play an increasingly important role in surgeon education and developing algorithms that enable robots to perform surgical subtasks. To model anatomy, finite element method (FEM) simulations have been held as the gold sta...
Deep Learning Robotic Surgical Procedures Phantoms, Imaging Models, Anatomic Algorithms Humans Computer Simulation Neural Networks, Computer Biomechanical Phenomena
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Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs.

International journal of computer assisted radiology and surgery Nov 4, 2019
PURPOSE: Convolutional neural networks (CNNs) have obtained enormous success in liver segmentation. However, there are several challenges, including low-contrast images, and large variations in the shape, and appearance of the liver. Incorporating pr...
Neural Networks, Computer Humans Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Liver Models, Anatomic
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Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

Journal of neural engineering Oct 29, 2019
OBJECTIVE: The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume conduction in different measures of functional connectivity and to characterize the EEG coupling alterations at the different stages of dementia due t...
Neural Networks, Computer Brain Female Aged Aged, 80 and over Male Humans Nerve Net Models, Anatomic Electroencephalography Alzheimer Disease
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Interfacing Soft and Hard: A Spring Reinforced Actuator.

Soft robotics Oct 15, 2019
Muscular hydrostats have long been a source of inspiration for soft robotic designs. With their inherent compliance, they excel in unpredictable environments and can gently manipulate objects with ease. However, their performance lacks where high for...
Muscles Models, Anatomic Mechanical Phenomena Finite Element Analysis Animals Robotics Equipment Design Humans
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Simplifying models and estimating grasp performance for comparing dynamic hand orthosis concepts.

PloS one Jul 25, 2019
While designing a dynamic hand orthosis to assist during activities of daily living, the designer has to know whether a concept will have sufficient grasp performance to support these activities. This is often estimated by measuring the interaction f...
Hand Activities of Daily Living Orthotic Devices Models, Anatomic Biomechanical Phenomena Humans Hand Strength Computer Simulation Robotics
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Novel evaluation of surgical activity recognition models using task-based efficiency metrics.

International journal of computer assisted radiology and surgery Jul 2, 2019
PURPOSE: Surgical task-based metrics (rather than entire procedure metrics) can be used to improve surgeon training and, ultimately, patient care through focused training interventions. Machine learning models to automatically recognize individual ta...
Clinical Competence Robotic Surgical Procedures Benchmarking Male Surgeons Prostatectomy Models, Anatomic Humans Machine Learning
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