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

In this paper we present the findings of a systematic literature review covering the articles
published in the last two decades in which the authors described the application of a …

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

Accurate localization and identification of vertebrae in 3D spinal images is essential for
many clinical tasks. However, automatic localization and identification of vertebrae remains …

Chronic Low Back Pain (LBP) is a symptom that may be caused by several diseases, and it
is currently the leading cause of disability worldwide. The increased amount of digital …

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

Abstract Objectives Machine Learning and Artificial Intelligence (AI) are rapidly growing in
capability and increasingly applied to model outcomes and complications within medicine …

Axial Lumbar disc herniation recognition is a difficult task to achieve, due to many
challenges such as complex background, noise, blurry image. Lumbar discs are small joints …