Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm

A deep learning model for detection of cervical spinal cord compression in MRI scans

(2021) Zamir Merali et al.   Scientific Reports

Prediction Models in Degenerative Spine Surgery: A Systematic Review

(2021) Daniel Lubelski et al.   Global Spine Journal

Machine learning in neurosurgery: a global survey

(2020) Victor E. Staartjes et al.   ACTA NEUROCHIRURGICA

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier

(2019) Samir D. Mehta et al.   JOURNAL OF DIGITAL IMAGING

Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation

(2019) Aditya V. Karhade et al.   Spine Journal

Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.

(2019) Zachary DeVries et al.   Spine Journal

Thoracolumbar Injury Classification and Severity Score in children: a reliability study

(2018) Ross L. Dawkins et al.   Journal of Neurosurgery-Pediatrics

Neurotrauma as a big-data problem

(2018) J. Russell Huie et al.   CURRENT OPINION IN NEUROLOGY

Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders

(2018) Aditya V. Karhade et al.   Neurosurgical Focus

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images

(2017) Joseph E. Burns et al.   RADIOLOGY

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images

(2016) Lucas Frighetto-Pereira et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Management of thoracolumbar spine trauma An overvie

(2015) S Rajasekaran et al.   Indian Journal of Orthopaedics

A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images

(2014) Bunheang Tay et al.   Computational and Mathematical Methods in Medicine

3D Slicer as an image computing platform for the Quantitative Imaging Network

(2012) Andriy Fedorov et al.   MAGNETIC RESONANCE IMAGING

A Novel Classification System for Spinal Instability in Neoplastic Disease

(2010) Charles G. Fisher et al.   SPINE