Publications related to Lordosis

Lumbar and thoracic kinematics during step-up: Comparison of three-dimensional angles between patients with chronic low back pain and asymptomatic individuals

While alterations in spinal kinematics have been repeatedly observed in patients with chronic low back pain (CLBP), their exact nature is still unknown. Specifically, there is a need for comprehensive assessments of multisegment spinal angles during daily- ...

2020

Clinical implementation of accelerated T-2 mapping: Quantitative magnetic resonance imaging as a biomarker for annular tear and lumbar disc herniation

Tobias Kober, Tom Hilbert, Michael Weber

Objectives This study evaluates GRAPPATINI, an accelerated T-2 mapping sequence combining undersampling and model-based reconstruction to facilitate the clinical implementation of T-2 mapping of the lumbar intervertebral disc. Methods Fifty-eight individua ...

SPRINGER2020

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

Pascal Fua, Mathieu Salzmann, Victor Constantin, Shaifali Parashar, Erhan Gündogdu

In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that produces a visually plausible draping of a template cloth on virtual 3D bodies by extracting features from both the b ...

2020

Pedicle screw navigation using surface digitization on the Microsoft HoloLens

Davide Scaramuzza, Jess Snedeker

Purpose In spinal fusion surgery, imprecise placement of pedicle screws can result in poor surgical outcome or may seriously harm a patient. Patient-specific instruments and optical systems have been proposed for improving precision through surgical naviga ...

2019

Robustness via curvature regularization, and vice versa

Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Alhussein Fawzi

State-of-the-art classifiers have been shown to be largely vulnerable to adversarial perturbations. One of the most effective strategies to improve robustness is adversarial training. In this paper, we investigate the effect of adversarial training on the ...

IEEE2019

Robustness via curvature regularization, and vice versa

Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Alhussein Fawzi

State-of-the-art classifiers have been shown to be largely vulnerable to adversarial perturbations. One of the most effective strategies to improve robustness is adversarial training. In this paper, we investigate the effect of adversarial training on the ...

2018

Chronic low back pain patients walk with locally altered spinal kinematics

Julien Favre, Brigitte Jolles-Haeberli, Guillaume Christe

Various studies have reported alterations of spinal kinematics in patients with chronic low back pain (CLBP) during gait. However, while recent findings stressed the importance of multi-segment analysis, most of prior gait studies modelled the lumbar spine ...

Elsevier Sci Ltd2017

A Computational Framework for the Design of Spinal Neuroprostheses

Silvestro Micera, Grégoire Courtine, Jocelyne Bloch, Marco Capogrosso

Severe Spinal Cord Injury (SCI) alters the communication between supra-spinal centers and the sensorimotor networks coordinating limb movements, which are usually located below the injury. Epidural electrical stimulation of lumbar segments has shown the ab ...

Springer International Publishing Ag2017

Multi-segment analysis of spinal kinematics during sit-to-stand in patients with chronic low back pain

Julien Favre, Thomas Legrand, Guillaume Christe

While alterations in spinal kinematics have been frequently reported in patients with chronic low back pain (CLBP), a better characterization of the kinematics during functional activities is needed to improve our understanding and therapeutic solutions fo ...

Elsevier Sci Ltd2016

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Kamiar Aminian, Arash Arami, Natacha Vida Martins

Here we present a low-power magnetic measurement system based on only two Hall-effect elements and a permanent magnet integrated into a smart knee prosthesis to accurately measure knee flexion-extension. The smart prosthesis was tested in a robotic knee si ...

Institute of Electrical and Electronics Engineers2015

Lordosis

Lumbar and thoracic kinematics during step-up: Comparison of three-dimensional angles between patients with chronic low back pain and asymptomatic individuals

Clinical implementation of accelerated T-2 mapping: Quantitative magnetic resonance imaging as a biomarker for annular tear and lumbar disc herniation

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

Pedicle screw navigation using surface digitization on the Microsoft HoloLens

Robustness via curvature regularization, and vice versa

Robustness via curvature regularization, and vice versa

Chronic low back pain patients walk with locally altered spinal kinematics

A Computational Framework for the Design of Spinal Neuroprostheses

Multi-segment analysis of spinal kinematics during sit-to-stand in patients with chronic low back pain

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

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Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

A Computational Framework for the Design of Spinal Neuroprostheses

Multi-segment analysis of spinal kinematics during sit-to-stand in patients with chronic low back pain

Lumbar and thoracic kinematics during step-up: Comparison of three-dimensional angles between patients with chronic low back pain and asymptomatic individuals

Clinical implementation of accelerated T-2 mapping: Quantitative magnetic resonance imaging as a biomarker for annular tear and lumbar disc herniation

Pedicle screw navigation using surface digitization on the Microsoft HoloLens

Robustness via curvature regularization, and vice versa

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

Chronic low back pain patients walk with locally altered spinal kinematics

Robustness via curvature regularization, and vice versa