Artificial intelligence and machine learning in spine research
F Galbusera, G Casaroli, T Bassani - JOR spine, 2019 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …
industrial and research fields like computer vision, autonomous driving, natural language …
Artificial intelligence and computer vision in low back pain: a systematic review
Chronic Low Back Pain (LBP) is a symptom that may be caused by several diseases, and it
is currently the leading cause of disability worldwide. The increased amount of digital …
is currently the leading cause of disability worldwide. The increased amount of digital …
A deep learning model for detection of cervical spinal cord compression in MRI scans
Z Merali, JZ Wang, JH Badhiwala, CD Witiw… - Scientific reports, 2021 - nature.com
Abstract Magnetic Resonance Imaging (MRI) evidence of spinal cord compression plays a
central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing …
central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing …
A survey machine learning based object detections in an image
S Mohmmad, R Dadi, D Kothandaraman… - AIP Conference …, 2022 - pubs.aip.org
One of the research emergence as per studied problem on the image processing based
computer vision is that object detection in a image with bounding boxes. This complicated …
computer vision is that object detection in a image with bounding boxes. This complicated …
[HTML][HTML] Artificial intelligence in neurosurgery: a bibliometric analysis
Background Artificial intelligence (AI) has the potential to augment clinicians' diagnostic and
decision-making capabilities. It is well suited to identify patterns and correlations within data …
decision-making capabilities. It is well suited to identify patterns and correlations within data …
Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models
Recent advances in high resolution magnetic resonance (MR) imaging of the spine provide
a basis for the automated assessment of intervertebral disc (IVD) and vertebral body (VB) …
a basis for the automated assessment of intervertebral disc (IVD) and vertebral body (VB) …
Fine-grain segmentation of the intervertebral discs from MR spine images using deep convolutional neural networks: BSU-Net
Featured Application The application of this research aims to provide clinicians with a robust
deep learning model for fine-grain segmentation of tissues in medical images, and therefore …
deep learning model for fine-grain segmentation of tissues in medical images, and therefore …
Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images
The diagnosis of certain spine pathologies, such as scoliosis, spondylolisthesis and
vertebral fractures, is part of the daily clinical routine. Very frequently, magnetic resonance …
vertebral fractures, is part of the daily clinical routine. Very frequently, magnetic resonance …
Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation
This paper addresses the problem of fully-automatic localization and segmentation of 3D
intervertebral discs (IVDs) from MR images. Our method contains two steps, where we first …
intervertebral discs (IVDs) from MR images. Our method contains two steps, where we first …
The state-of-the-art in ultrasound-guided spine interventions
HE Gueziri, C Santaguida, DL Collins - Medical Image Analysis, 2020 - Elsevier
During the last two decades, intra-operative ultrasound (iUS) imaging has been employed
for various surgical procedures of the spine, including spinal fusion and needle injections …
for various surgical procedures of the spine, including spinal fusion and needle injections …