Conference

  • Gao, C., Grupp, R., Unberath, M., Taylor, R., Armand, M., (2020) Fiducial-Free 2D/3D Registration of the Proximal Femur for Robot-Assisted Femoroplasty. accepted to SPIE 2020 as oral presentation.
  • Zaech, J.N., Gao, C., Bier, B., Taylor, R.H., Maier, A., Navab, N. and Unberath, M. (2019) Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories. International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019. [pdf] Oral, NIH Travel Award!
  • Gao, C.*, Unberath, M.*, Taylor, R.H. and Armand, M. (2019) Localizing dexterous surgical tools in X-ray for image-based navigation. Information Processing in Computer-Assisted Interventions, IPCAI 2019. [pdf][slide][poster][video]
  • Gao, C., Liu, X., Peven, M., Unberath, M., and Reiter, A. (2018) Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks. Computer Assisted and Robotic Endoscopy, MICCAI workshop 2018. [pdf][ slide] Best Paper Award! (second place)
  • Alambeigi, F., Wang, Y., Sefati, S., Gao, C., Murphy, R.J., Iordachita, I., Taylor, R.H., Khanuja, H. and Armand, M. (2017) A curved-drilling approach in core decompression of the femoral head osteonecrosis using a continuum manipulator. IEEE Robotics and Automation Letters, ICRA 2017. [pdf]
  • Du, H., Ouyang, M., Gao, C., Hong, B., Yang, H., Wang, Y. and Huang, H. (2016) Line Propagation Based On FDT Probabilistic Tracking (LP-FPT) Organization for Human Brian Mapping Poster, OHBM 2016. [pdf]
  • Shen, W., Wang, B., Feng, J., Gao, C. and Ma, J., 2015, May. Differential CSIT acquisition based on compressive sensing for FDD massive MIMO systems. In 2015 IEEE 81st Vehicular Technology Conference, VTC Spring. [pdf]

Journal

  • Chen, F., Zhao, Z., Gao, C., Liu, J., Su, X., Zhao, J., Tang, P. and Liao, H., 2017. Clustering of morphological features for identifying femur cavity subtypes with difficulties of intramedullary nail implantation. IEEE journal of biomedical and health informatics, 22(4), pp.1209-1217. [pdf]
  • Unberath, M.*, Zaech, J.N.*, Gao, C.*, Bier, B., Goldmann, F., Lee, S.C., Fotouhi, J., Taylor, R.H., Armand, M. and Navab, N., 2019. Enabling Machine Learning in X-ray-based Procedures via Realistic Simulation of Image Formation International journal of computer assisted radiology and surgery, IJCARS 2019. [pdf] Invited Special Issue

Peer Review

  • Gu., W, Gao, C., Grupp, R., Fotouhi, J., Thies, M., Navab, N., Armand, M., Unberath, M., (2020) Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients. submitted to CVPR 2020.
  • Grupp, R., Unberath, M., Gao, C., Hegeman, R., Murphy, R., Alenxander, C., Otake, Y., McArthur, B., Armand, M., Taylor, R., (2020) Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration. submitted to IPCAI 2020.