AIMC Topic: Ear, Inner

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Volumetric atlas of the rat inner ear from microCT and iDISCO+ cleared temporal bones.

PeerJ May 26, 2025
BACKGROUND: Volumetric atlases are an invaluable tool in neuroscience and otolaryngology, greatly aiding experiment planning and surgical interventions, as well as the interpretation of experimental and clinical data. The rat is a major animal model ...
Animals X-Ray Microtomography Rats Atlases as Topic Ear, Inner Temporal Bone
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Breaking barriers in inner ear MRI: The changing role of deep learning reconstruction.

Diagnostic and interventional imaging Sep 12, 2024
Humans Ear, Inner Deep Learning Magnetic Resonance Imaging
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Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT.

European radiology experimental Sep 12, 2024
BACKGROUND: The intricate three-dimensional anatomy of the inner ear presents significant challenges in diagnostic procedures and critical surgical interventions. Recent advancements in deep learning (DL), particularly convolutional neural networks (...
Retrospective Studies Deep Learning Humans Ear, Inner Tomography, X-Ray Computed Male Aged Neural Networks, Computer Middle Aged Female Adult
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A novel radiological software prototype for automatically detecting the inner ear and classifying normal from malformed anatomy.

Computers in biology and medicine Feb 16, 2024
BACKGROUND: To develop an effective radiological software prototype that could read Digital Imaging and Communications in Medicine (DICOM) files, crop the inner ear automatically based on head computed tomography (CT), and classify normal and inner e...
Ear, Inner Software Retrospective Studies Neural Networks, Computer Artificial Intelligence Humans
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Machine learning-based prediction of the outcomes of cochlear implantation in patients with inner ear malformation.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Feb 14, 2024
OBJECTIVE: The objectives of this study are twofold: first, to visualize the structure of malformed cochleae through image reconstruction; and second, to develop a predictive model for postoperative outcomes of cochlear implantation (CI) in patients ...
Child, Preschool Child Imaging, Three-Dimensional Male Infant Ear, Inner Cochlea Treatment Outcome Cochlear Implantation Humans Retrospective Studies Female Machine Learning
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Three-dimensional heavily T2-weighted FLAIR in the detection of blood-labyrinthine barrier leakage in patients with sudden sensorineural hearing loss: comparison with T1 sequences and application of deep learning-based reconstruction.

European radiology Jan 17, 2024
OBJECTIVE: Blood-labyrinthine barrier leakage has been reported in sudden sensorineural hearing loss (SSNHL). We compared immediate post-contrast 3D heavily T2-weighted fluid-attenuated inversion recovery (FLAIR), T1 spin echo (SE), and 3D T1 gradien...
Female Aged Adult Male Young Adult Humans Retrospective Studies Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Middle Aged Contrast Media Hearing Loss, Sudden Ear, Inner Deep Learning Magnetic Resonance Imaging Hearing Loss, Sensorineural
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Towards fully automated inner ear analysis with deep-learning-based joint segmentation and landmark detection framework.

Scientific reports Nov 4, 2023
Automated analysis of the inner ear anatomy in radiological data instead of time-consuming manual assessment is a worthwhile goal that could facilitate preoperative planning and clinical research. We propose a framework encompassing joint semantic se...
Humans Ear, Inner Deep Learning Image Processing, Computer-Assisted Cadaver
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A Self-Configuring Deep Learning Network for Segmentation of Temporal Bone Anatomy in Cone-Beam CT Imaging.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 8, 2023
OBJECTIVE: Preoperative planning for otologic or neurotologic procedures often requires manual segmentation of relevant structures, which can be tedious and time-consuming. Automated methods for segmenting multiple geometrically complex structures ca...
Tomography, X-Ray Computed Deep Learning Temporal Bone Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Ear, Inner
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Robotic Cochlear Implantation for Direct Cochlear Access.

Journal of visualized experiments : JoVE Jun 16, 2022
Robot-assisted systems offer great potential for gentler and more precise cochlear implantation. In this article, we provide a comprehensive overview of the clinical workflow for robotic cochlear implantation using a robotic system specifically devel...
Ear, Inner Humans Cochlea Robotic Surgical Procedures Robotics Cochlear Implantation
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Utility of unsupervised deep learning using a 3D variational autoencoder in detecting inner ear abnormalities on CT images.

Computers in biology and medicine Jun 1, 2022
BACKGROUND AND PURPOSE: To examine the diagnostic performance of unsupervised deep learning using a 3D variational autoencoder (VAE) for detecting and localizing inner ear abnormalities on CT images.
Temporal Bone Deep Learning Tomography, X-Ray Computed Ear, Inner
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