Artificial Intelligence for Automatic Measurement of Sagittal Vertical Axis Using ResUNet Framework

Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach

(2019) Fabio Galbusera et al.   EUROPEAN SPINE JOURNAL

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

(2019) Nikolas Lessmann et al.   MEDICAL IMAGE ANALYSIS

Fully automatic cervical vertebrae segmentation framework for X-ray images

(2018) S. M. Masudur Rahman Al Arif et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Road Extraction by Deep Residual U-Net

(2018) Zhengxin Zhang et al.   IEEE Geoscience and Remote Sensing Letters

Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images

(2018) Maria Wimmer et al.   International Journal of Computer Assisted Radiology and Surgery

Rate of presence of 11 thoracic vertebrae and 6 lumbar vertebrae in asymptomatic Chinese adult volunteers

(2018) Ying-zhao Yan et al.   Journal of Orthopaedic Surgery and Research

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Normative data for parameters of sagittal spinal alignment in healthy subjects: an analysis of gender specific differences and changes with aging in 626 asymptomatic individuals

(2016) Yasutsugu Yukawa et al.   EUROPEAN SPINE JOURNAL

Die sagittale Wirbelsäulenbalance – klinische Bedeutung und radiologische Bemessung

(2015) S. Decker et al.   Zeitschrift fur Orthopadie und Unfallchirurgie

The EOS™ imaging system and its uses in daily orthopaedic practice

(2012) Tamás Illés et al.   INTERNATIONAL ORTHOPAEDICS

Reliability and Accuracy Analysis of a New Semiautomatic Radiographic Measurement Software in Adult Scoliosis

(2011) Carl-Eric Aubin et al.   SPINE

Adult Spinal Deformity—Postoperative Standing Imbalance

(2010) Frank Schwab et al.   SPINE