Our paper, “Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration,” has been accepted for the International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) 2020 Special Issue of the International Journal of Computer Assisted Radiology and Surgery (IJCARS).

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The dataset and Python code for our IPCAI paper, “Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration,” is now available here.

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The library has officially accepted my dissertation (“Computer-Assisted Fluoroscopic Navigation for Orthopaedic Surgery”), which concludes my PhD. First official day as a Postdoc is on Monday!.

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Our paper, “Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation,” is now prominently featured on the TBME homepage and also has a paper specific page here.

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Our paper, “Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration,” has been conditionally accepted for the 2020 International Conference on Information Processing in Computer-Assisted Interventions (IPCAI). The arXiv preprint is available here.

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Selected Publications

More Publications

. Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration. International Journal of Computer Assisted Radiology and Surgery, 2020.

arXiv Video Code Data Springer DOI

. Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy. arXiv Preprint, 2019.

arXiv Video

. Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation. IEEE Transactions on Biomedical Engineering, 2019.

arXiv Video IEEE DOI PubMed

Contact

  • grupp@jhu.edu
  • Hackerman Hall 128, Johns Hopkins University, Baltimore, Maryland, 21218, USA