Purpose Clinicians detect scoliosis worsening over time using frequent radiographs during
growth. Arms must be elevated when capturing sagittal radiographs to visualize the …

To date, 3D spine reconstruction from biplanar radiographs involves intensive user
supervision and semi-automated methods that are time-consuming and not effective in …

In this work we propose to use Deep Learning to automatically calculate the coordinates of
the vertebral corners in sagittal x-rays images of the thoracolumbar spine and, from those …

The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on
planar X-ray image (s) is related to the quality of the image correspondences between the …

Background Patient-specific scapular shape in functional posture can be highly relevant to
clinical research. Biplanar radiography is a relevant modality for that purpose with already …

Objectives Adolescent idiopathic scoliosis (AIS) is the most common spinal disorder in
children. A severity index was recently proposed to identify the stable from the progressive …

Introduction Our objective was to assess abnormalities of the odontoid-hip axis (OD-HA)
angle in a mild scoliotic population to determine whether screening for malalignment would …

We developed and used a deep learning tool to process biplanar radiographs of 9,832 non-
surgical patients suffering from spinal deformities, with the aim of reporting the statistical …

Purpose To validate the predictive power and reliability of a novel quasi-automatic method
to calculate the severity index of adolescent idiopathic scoliosis (AIS). Methods Fifty-five AIS …

Objective To identify the different apex and transitional vertebra according to the shape of
the pelvis of individuals despite their difference in sagittal alignment using our measurement …