BX2S-Net: Learning to reconstruct 3D spinal structures from bi-planar X-ray images

Z Chen, L Guo, R Zhang, Z Fang, X He… - Computers in biology and …, 2023 - Elsevier
Gras** good understanding of the weight-bearing spatial structure of the spine of a human
subject in a standing position is critical for the treatment of spinal disorders. Such disorders …

A deep learning approach for automatic scoliosis cobb angle identification

RR Maaliw, JAB Susa, AS Alon… - 2022 IEEE World AI …, 2022 - ieeexplore.ieee.org
Efficient and reliable medical image analysis is indispensable in modern healthcare
settings. The conventional approaches in diagnostics and evaluations from a mere picture …

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

D Alukaev, S Kiselev, T Mustafaev, A Ainur… - European spine …, 2022 - Springer
Purpose To propose a fully automated deep learning (DL) framework for the vertebral
morphometry and Cobb angle measurement from three-dimensional (3D) computed …

Urotensin II-related peptides, Urp1 and Urp2, control zebrafish spine morphology

EA Bearce, ZH Irons, JR O'Hara-Smith, CJ Kuhns… - Elife, 2022 - elifesciences.org
The spine provides structure and support to the body, yet how it develops its characteristic
morphology as the organism grows is little understood. This is underscored by the …

[HTML][HTML] SCOLIONET: an automated scoliosis Cobb angle quantification using enhanced X-ray images and deep learning models

RR Maaliw III - Journal of Imaging, 2023 - mdpi.com
The advancement of medical prognoses hinges on the delivery of timely and reliable
assessments. Conventional methods of assessments and diagnosis, often reliant on human …

Assessing progressive changes in axial plane vertebral deformity in adolescent idiopathic scoliosis using sequential magnetic resonance imaging

PT Sowula, MT Izatt, RD Labrom, GN Askin… - European Spine …, 2024 - Springer
Purpose To understand how the axial plane deformity contributes to progression of the three-
dimensional spinal deformity of Adolescent Idiopathic Scoliosis (AIS), with a main thoracic …

Quantifying muscle size asymmetry in adolescent idiopathic scoliosis using three-dimensional magnetic resonance imaging

P Duncombe, MT Izatt, P Pivonka, A Claus, JP Little… - Spine, 2023 - journals.lww.com
Study Design: This is a case-control study of prospectively collected data. Objective: To
quantify paraspinal muscle size asymmetry in adolescent idiopathic scoliosis (AIS) and …

Quantifying Typical Progression of Adolescent Idiopathic Scoliosis: Longitudinal Three-Dimensional MRI Measures of Disk and Vertebral Deformities

FR Labrom, MT Izatt, GN Askin, RD Labrom, AP Claus… - Spine, 2023 - journals.lww.com
Study Design. A prospective cohort study. Objective. Detail typical three-dimensional
segmental deformities and their rates of change that occur within develo** adolescent …

Wearable accelerometers reveal objective assessment of walking symmetry and regularity in idiopathic scoliosis patients

X Gan, X Liu, D Cai, R Zhang, F Li, H Fang, J Huang… - PeerJ, 2024 - peerj.com
Background Scoliosis is a multifaceted three-dimensional deformity that significantly affects
patients' balance function and walking process. While existing research primarily focuses on …

Segmental deformity markers offer novel indicators of deformity progression risk in deformity-matched adolescent idiopathic scoliosis patients

FR Labrom, MT Izatt, GN Askin, RD Labrom, AP Claus… - Spine Deformity, 2024 - Springer
Purpose Identification of adolescent idiopathic scoliosis (AIS) patients with mild curvatures
who pose significant risk of progressing to severe levels of curvatures is of paramount …