Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …

Abstract Machine learning (ML) applications are everywhere and are used in many real-
world applications. It is essential in several areas, such as healthcare and medical data …

Human spinal balance assessment relies considerably on sagittal radiographic parameter
measurement. Deep learning could be applied for automatic landmark detection and …

For many orthopaedic, neurological, and oncological applications, an exact segmentation of
the vertebral column including an identification of each vertebra is essential. However …

Intervertebral discs (IVDs) are small joints that lie between adjacent vertebrae. The
localization and segmentation of IVDs are important for spine disease diagnosis and …

Accurate localization and identification of vertebrae in spinal imaging is crucial for the
clinical tasks of diagnosis, surgical planning, and post-operative assessment. The main …

This paper presents a new method for automatic localization and identification of vertebrae
in arbitrary field-of-view CT scans. No assumptions are made about which section of the …

In this paper, we address the problem of fully automatic labeling and segmentation of 3D
vertebrae in arbitrary Field-Of-View (FOV) CT images. We propose a deep learning-based …

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …

In this paper, we address the problems of fully automatic localization and segmentation of
3D vertebral bodies from CT/MR images. We propose a learning-based, unified random …