Opportunistic screening techniques for analysis of CT scans

K Engelke, O Chaudry, S Bartenschlager - Current Osteoporosis Reports, 2023 - Springer
Abstract Purpose of Review Opportunistic screening is a combination of techniques to
identify subjects of high risk for osteoporotic fracture using routine clinical CT scans …

Progress in fully automated abdominal CT interpretation

RM Summers - American Journal of Roentgenology, 2016 - Am Roentgen Ray Soc
OBJECTIVE. Automated analysis of abdominal CT has advanced markedly over just the last
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …

Spine-GAN: Semantic segmentation of multiple spinal structures

Z Han, B Wei, A Mercado, S Leung, S Li - Medical image analysis, 2018 - Elsevier
Spinal clinicians still rely on laborious workloads to conduct comprehensive assessments of
multiple spinal structures in MRIs, in order to detect abnormalities and discover possible …

Vertebral body compression fractures and bone density: automated detection and classification on CT images

JE Burns, J Yao, RM Summers - Radiology, 2017 - pubs.rsna.org
Purpose To create and validate a computer system with which to detect, localize, and
classify compression fractures and measure bone density of thoracic and lumbar vertebral …

[HTML][HTML] Development of a spine X-ray-based fracture prediction model using a deep learning algorithm

SH Kong, JW Lee, BU Bae, JK Sung… - Endocrinology and …, 2022 - synapse.koreamed.org
Background Since image-based fracture prediction models using deep learning are lacking,
we aimed to develop an X-ray-based fracture prediction model using deep learning with …

Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+ pose model

A Rasoulian, R Rohling… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Segmentation of the spinal column from computed tomography (CT) images is a
preprocessing step for a range of image-guided interventions. One intervention that would …

Automated system for the detection of thoracolumbar fractures using a CNN architecture

U Raghavendra, NS Bhat, A Gudigar… - Future Generation …, 2018 - Elsevier
A damage to the spinal cord can affect its natural functioning both temporarily or
permanently resulting in loss of sensation and functioning of muscles. Spinal cord injury …

Detection of vertebral body fractures based on cortical shell unwrapping

J Yao, JE Burns, H Munoz, RM Summers - … Nice, France, October 1-5, 2012 …, 2012 - Springer
Assessment of trauma patients with multiple injuries can be one of the most clinically
challenging situations dealt with by the radiologist. We propose a fully automated method to …

Spotting L3 slice in CT scans using deep convolutional network and transfer learning

S Belharbi, C Chatelain, R Hérault, S Adam… - Computers in biology …, 2017 - Elsevier
In this article, we present a complete automated system for spotting a particular slice in a
complete 3D Computed Tomography exam (CT scan). Our approach does not require any …

Unifying neural learning and symbolic reasoning for spinal medical report generation

Z Han, B Wei, X Xi, B Chen, Y Yin, S Li - Medical image analysis, 2021 - Elsevier
Automated medical report generation in spine radiology, ie, given spinal medical images
and directly create radiologist-level diagnosis reports to support clinical decision making, is …