Cong Gao
Cong Gao
Computer Science PhD Candidate at Johns Hopkins University
Потвърден имейл адрес: - Начална страница
A curved-drilling approach in core decompression of the femoral head osteonecrosis using a continuum manipulator
F Alambeigi, Y Wang, S Sefati, C Gao, RJ Murphy, I Iordachita, RH Taylor, ...
IEEE Robotics and Automation Letters 2 (3), 1480-1487, 2017
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation
M Unberath, JN Zaech, C Gao, B Bier, F Goldmann, SC Lee, J Fotouhi, ...
International journal of computer assisted radiology and surgery 14 (9 …, 2019
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
C Gao, X Liu, M Peven, M Unberath, A Reiter
Best Paper Award, Computer Assisted and Robotic Endoscopy Workshop, MICCAI 2018, 2018
Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration
RB Grupp, M Unberath, C Gao, RA Hegeman, RJ Murphy, CP Alexander, ...
International journal of computer assisted radiology and surgery 15 (5), 759-769, 2020
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
Localizing dexterous surgical tools in X-ray for image-based navigation
C Gao, M Unberath, R Taylor, M Armand
IPCAI2019 Long Abstract. arXiv preprint arXiv:1901.06672, 2019
Learning to avoid poor images: Towards task-aware C-arm cone-beam CT trajectories
JN Zaech, C Gao, B Bier, R Taylor, A Maier, N Navab, M Unberath
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Differential CSIT acquisition based on compressive sensing for FDD massive MIMO systems
W Shen, B Wang, J Feng, C Gao, J Ma
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-4, 2015
Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty
C Gao, RB Grupp, M Unberath, RH Taylor, M Armand
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020
Clustering of morphological features for identifying femur cavity subtypes with difficulties of intramedullary nail implantation
F Chen, Z Zhao, C Gao, J Liu, X Su, J Zhao, P Tang, H Liao
IEEE journal of biomedical and health informatics 22 (4), 1209-1217, 2018
Generalizing spatial transformers to projective geometry with applications to 2d/3d registration
C Gao, X Liu, W Gu, B Killeen, M Armand, R Taylor, M Unberath
International Conference on Medical Image Computing and Computer-Assisted …, 2020
A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
M Thies, JN Zäch, C Gao, R Taylor, N Navab, A Maier, M Unberath
International journal of computer assisted radiology and surgery 15 (11 …, 2020
Data-driven shape sensing of a surgical continuum manipulator using an uncalibrated fiber bragg grating sensor
S Sefati, C Gao, I Iordachita, RH Taylor, M Armand
IEEE Sensors Journal 21 (3), 3066-3076, 2020
Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients
W Gu, C Gao, R Grupp, J Fotouhi, M Unberath
International Workshop on Machine Learning in Medical Imaging, 281-291, 2020
Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty
C Gao, A Farvardin, RB Grupp, M Bakhtiarinejad, L Ma, M Thies, ...
IEEE Transactions on Medical Robotics and Bionics 2 (3), 437-446, 2020
Fluoroscopic Navigation for a Surgical Robotic System including a Continuum Manipulator
C Gao, H Phalen, S Sefati, J Ma, RH Taylor, M Unberath, M Armand
IEEE Transactions on Biomedical Engineering, 2021
The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective
M Unberath, C Gao, Y Hu, M Judish, RH Taylor, M Armand, R Grupp
Frontiers in Robotics and AI, 260, 2021
Learning to Avoid Poor Images
JN Zaech, C Gao, B Bier, R Taylor, A Maier, N Navab, M Unberath
Bildverarbeitung für die Medizin 2020, 185-185, 2020
Learning to See Forces
C Gao, X Liu, M Unberath, M Peven, A Reiter
Line Propagation Based On FDT Probabilistic Tracking (LP-FPT)
H Du, M Ouyang, C Gao, B Hong, H Yang, Y Wang, H Huang
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Статии 1–20