Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review

Magnetic resonance imaging–based synthetic computed tomography of the lumbar spine for surgical planning: a clinical proof-of-concept

(2021) Victor E. Staartjes et al.   Neurosurgical Focus

Automatic lumbar spinal MRI image segmentation with a multi-scale attention network

(2021) Haixing Li et al.   NEURAL COMPUTING & APPLICATIONS

A Deep-Learning–Based, Fully Automated Program to Segment and Quantify Major Spinal Components on Axial Lumbar Spine Magnetic Resonance Imaging

(2021) Haotian Shen et al.   PHYSICAL THERAPY

Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel‐based relaxometry approach

(2020) Claudia Iriondo et al.   MAGNETIC RESONANCE IN MEDICINE

The application of key feature extraction algorithm based on Gabor wavelet transformation in the diagnosis of lumbar intervertebral disc degenerative changes

(2020) Tao Yang et al.   PLoS One

Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images

(2020) Tucker Netherton et al.   MEDICAL PHYSICS

LUMINOUS database: lumbar multifidus muscle segmentation from ultrasound images

(2020) Clyde J. Belasso et al.   BMC MUSCULOSKELETAL DISORDERS

Deep learning-based lumbosacral reconstruction for difficulty prediction of percutaneous endoscopic transforaminal discectomy at L5/S1 level: A retrospective cohort study

(2020) Guoxin Fan et al.   International Journal of Surgery

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification

(2020) Jiamin Zhou et al.   Frontiers in Endocrinology

Clinical implementation of accelerated T2 mapping: Quantitative magnetic resonance imaging as a biomarker for annular tear and lumbar disc herniation

(2020) Marcus Raudner et al.   EUROPEAN RADIOLOGY

Texture analysis in the classification of T 2 ‐weighted magnetic resonance images in persons with and without low back pain

(2020) Vahid Abdollah et al.   JOURNAL OF ORTHOPAEDIC RESEARCH

T 2 ‐weighted magnetic resonance imaging texture as predictor of low back pain: A texture analysis‐based classification pipeline to symptomatic and asymptomatic cases

(2020) Juuso H. J. Ketola et al.   JOURNAL OF ORTHOPAEDIC RESEARCH

Artificial Intelligence for the Otolaryngologist: A State of the Art Review

(2019) Andrés M. Bur et al.   OTOLARYNGOLOGY-HEAD AND NECK SURGERY

Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine

(2019) Egon Burian et al.   BMC MUSCULOSKELETAL DISORDERS

Paraspinal Muscle Segmentation Based on Deep Neural Network

(2019) Haixing Li et al.   SENSORS

Quantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning Study

(2019) B. Gaonkar et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data

(2019) Ana Jimenez-Pastor et al.   Radiologia Medica

Advancing Drug Discovery via Artificial Intelligence

(2019) H.C. Stephen Chan et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Spine Explorer: a deep learning based fully automated program for efficient and reliable quantifications of the vertebrae and discs on sagittal lumbar spine MR images

(2019) Jiawei Huang et al.   Spine Journal

Artificial Intelligence and Surgical Decision-making

(2019) Tyler J. Loftus et al.   JAMA Surgery

Recent progress in semantic image segmentation

(2018) Xiaolong Liu et al.   ARTIFICIAL INTELLIGENCE REVIEW

Automatic detection System for Degenerative Disk and simulation for artificial disc replacement surgery in the spine

(2018) Lamia Nabil Mahdy et al.   ISA TRANSACTIONS

Automatic Spine Tissue Segmentation from MRI Data Based on Cascade of Boosted Classifiers and Active Appearance Model

(2018) Dominik Gaweł et al.   Biomed Research International

Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images

(2018) Faezeh Fallah et al.   IEEE Journal of Biomedical and Health Informatics

Semi-Automatic Segmentation of Vertebral Bodies in MR Images of Human Lumbar Spines

(2018) Sewon Kim et al.   Applied Sciences-Basel

Fine-Grain Segmentation of the Intervertebral Discs from MR Spine Images Using Deep Convolutional Neural Networks: BSU-Net

(2018) Sewon Kim et al.   Applied Sciences-Basel

Artificial Intelligence-Driven Designer Drug Combinations: From Drug Development to Personalized Medicine

(2018) Masturah Bte Mohd Abdul Rashid et al.   SLAS Technology

Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression

(2018) Edgar García-Cano et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic Characterizations of Lumbar Multifidus Muscle and Intramuscular Fat with Fuzzy C-Means based Quantization from Ultrasound Images

(2018) Kwang Baek Kim et al.   Current Medical Imaging Reviews

Automatic Lumbar MRI Detection and Identification Based on Deep Learning

(2018) Yujing Zhou et al.   JOURNAL OF DIGITAL IMAGING

Automatic Global Level Set Approach for Lumbar Vertebrae CT Image Segmentation

(2018) Yang Li et al.   Biomed Research International

Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy

(2018) Christopher Tack   Musculoskeletal Science and Practice

ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

(2017) Amir Jamaludin et al.   EUROPEAN SPINE JOURNAL

Ultrasound Aided Vertebral Level Localization for Lumbar Surgery

(2017) Nora Baka et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmentation of Pathological Structures by Landmark-Assisted Deformable Models

(2017) Bulat Ibragimov et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data

(2017) Daniel Forsberg et al.   JOURNAL OF DIGITAL IMAGING

Multi-Parameter Ensemble Learning for Automated Vertebral Body Segmentation in Heterogeneously Acquired Clinical MR Images

(2017) Bilwaj Gaonkar et al.   IEEE Journal of Translational Engineering in Health and Medicine-JTEHM

A multi-center milestone study of clinical vertebral CT segmentation

(2016) Jianhua Yao et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Intervertebral disc classification by its degree of degeneration from T2-weighted magnetic resonance images

(2016) Isaac Castro-Mateos et al.   EUROPEAN SPINE JOURNAL

Three-dimensional morphology study of surgical adolescent idiopathic scoliosis patient from encoded geometric models

(2016) William Thong et al.   EUROPEAN SPINE JOURNAL

Semiautomatic computer-aided classification of degenerative lumbar spine disease in magnetic resonance imaging

(2015) Silvia Ruiz-España et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation

(2015) Robert Korez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Workers' compensation: Poor quality health care and the growing disability problem in the United States

(2014) Gary M. Franklin et al.   AMERICAN JOURNAL OF INDUSTRIAL MEDICINE

Supervised methods for detection and segmentation of tissues in clinical lumbar MRI

(2014) Subarna Ghosh et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images

(2014) Isaac Castro-Mateos et al.   PHYSICS IN MEDICINE AND BIOLOGY

3D lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models

(2014) Rabia Haq et al.   International Journal of Computer Assisted Radiology and Surgery

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

Boolean genetic network model for the control of C. elegans early embryonic cell cycles

(2013) Xiaotai Huang et al.   Biomedical Engineering Online

Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model

(2013) Abtin Rasoulian et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images

(2013) A Neubert et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Non invasive classification system of scoliosis curve types using least-squares support vector machines

(2012) Mathias M. Adankon et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models

(2012) A Neubert et al.   PHYSICS IN MEDICINE AND BIOLOGY

Automated Segmentation of the Lumbar Pedicle in CT Images for Spinal Fusion Surgery

(2011) Jongwon Lee et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Segmentation of the quadratus lumborum muscle using statistical shape modeling

(2011) Craig M. Engstrom et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Scaled, patient-specific 3D vertebral model reconstruction based on 2D lateral fluoroscopy

(2010) Guoyan Zheng et al.   International Journal of Computer Assisted Radiology and Surgery

Atlas-Based Segmentation of Degenerated Lumbar Intervertebral Discs From MR Images of the Spine

(2009) S.K. Michopoulou et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automated model-based vertebra detection, identification, and segmentation in CT images

(2009) Tobias Klinder et al.   MEDICAL IMAGE ANALYSIS

Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine

(2009) Darko Štern et al.   PHYSICS IN MEDICINE AND BIOLOGY