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Snedeker Group / Laboratory for Orthopaedic Biomechanics

AcronymSnedeker Group
Homepagehttp://www.orthobiomech.ethz.ch/
CountrySwitzerland
ZIP, City 
Address
Phone
TypeAcademy
Top-level organizationETH Zurich
Parent organizationInstitute for Biomechanics
Current organizationSnedeker Group / Laboratory for Orthopaedic Biomechanics
Members
  • Laboratory for Orthopedic Biomechanics
Memberships
  • Laboratory for Orthopedic Biomechanics
  • ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC)


Open Opportunities

Gravity line based surgical planning for spinal deformity corrections

  • ETH Zurich
  • Snedeker Group / Laboratory for Orthopaedic Biomechanics

This project is about the implementation of an algorithm based on the patient's gravity line to help plan spinal deformity corrections.

  • Engineering and Technology, Medical and Health Sciences
  • Internship, Master Thesis, Semester Project

3D reconstruction from bi-planar radiographs

  • ETH Zurich
  • Snedeker Group / Laboratory for Orthopaedic Biomechanics Other organizations: Research in Orthopedic Computer Science

Development of a pipeline for learning-based 3D reconstruction from bi-planar radiographs using anatomical mesh templates.

  • Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
  • Internship, Master Thesis, Semester Project

Pipeline for automatic generation of patient-specific musculoskeletal models from bi-planar X-rays

  • ETH Zurich
  • Snedeker Group / Laboratory for Orthopaedic Biomechanics

Development of a platform for automatic detection of spinal pathologies and segmentation of disc in 3D.

  • Engineering and Technology, Medical and Health Sciences
  • Internship, Master Thesis, Semester Project

An Augmented Arthroscopy System using Machine Learning Methods for Surgical Guidance

  • University of Zurich
  • Research in Orthopedic Computer Science Other organizations: Computer Vision and Geometry Group, Snedeker Group / Laboratory for Orthopaedic Biomechanics, pd|z Product Development Group Zurich

This work aims to enhance minimally invasive joint surgery using Machine Learning

  • Computer Graphics, Computer Software, Computer Vision, Computer-Human Interaction, Engineering and Technology, Image Processing, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Virtual Reality and Related Simulation
  • Master Thesis

Development of a platform for automatic detection of spinal diseases for FE-modelling.

  • ETH Zurich
  • Snedeker Group / Laboratory for Orthopaedic Biomechanics

Development of a platform for automatic detection of spinal diseases and 3D segmentation of spinal discs.

  • Information, Computing and Communication Sciences, Medical and Health Sciences
  • Internship, Master Thesis, Semester Project
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