A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation

(2022) Tomaž Vrtovec et al.   EUROPEAN SPINE JOURNAL

Adolescent idiopathic scoliosis 3D vertebral morphology, progression and nomenclature: a current concepts review

(2021) Fraser R. Labrom et al.   EUROPEAN SPINE JOURNAL

May bending radiographs be replaced by recumbent CT scans in patients with adolescent idiopathic scoliosis?

(2021) Max Prost et al.   EUROPEAN SPINE JOURNAL

The measurement of Cobb angle based on spine X-ray images using multi-scale convolutional neural network

(2021) Jun Liu et al.   Physical and Engineering Sciences in Medicine

Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology

(2021) Yu Sun et al.   EUROPEAN SPINE JOURNAL

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

(2021) Anjany Sekuboyina et al.   MEDICAL IMAGE ANALYSIS

Automatic vertebrae localization and segmentation in CT with a two-stage Dense-U-Net

(2021) Pengfei Cheng et al.   Scientific Reports

Radiographic scoliosis angle estimation: spline-based measurement reveals superior reliability compared to traditional COBB method

(2020) Peter Bernstein et al.   EUROPEAN SPINE JOURNAL

Holistic multitask regression network for multiapplication shape regression segmentation

(2020) Clara M. Tam et al.   MEDICAL IMAGE ANALYSIS

Revisiting thoracic kyphosis: a normative description of the thoracic sagittal curve in an asymptomatic population

(2020) Amer Sebaaly et al.   EUROPEAN SPINE JOURNAL

Automated quantitative morphometry of vertebral heights on spinal radiographs: comparison of a clinical workflow tool with standard 6-point morphometry

(2019) Klaus Engelke et al.   Archives of Osteoporosis

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

Computer-based Cobb angle measurement using deflection points in adolescence idiopathic scoliosis from radiographic images

(2018) Areen K. Al-Bashir et al.   NEURAL COMPUTING & APPLICATIONS

Segmentation of Pathological Structures by Landmark-Assisted Deformable Models

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

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

(2017) Guoyan Zheng et al.   MEDICAL IMAGE ANALYSIS

A multi-center milestone study of clinical vertebral CT segmentation

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

Automatic method for vertebral morphometry measurements

(2016) Roberto Franchini et al.   IET Science Measurement & Technology

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

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

Measuring procedures to determine the Cobb angle in idiopathic scoliosis: a systematic review

(2013) S. Langensiepen et al.   EUROPEAN SPINE JOURNAL

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

Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D

(2012) D. Štern et al.   OSTEOPOROSIS INTERNATIONAL

A fully automatic vertebra segmentation method using 3D deformable fences

(2009) Yiebin Kim et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A review of methods for quantitative evaluation of spinal curvature

(2009) Tomaž Vrtovec et al.   EUROPEAN SPINE JOURNAL

Vertebral morphometry: current methods and recent advances

(2008) G. Guglielmi et al.   EUROPEAN RADIOLOGY