Surgical gesture classification from video and kinematic data
暂无分享,去创建一个
Gregory D. Hager | René Vidal | Luca Zappella | Benjamín Béjar Haro | R. Vidal | Gregory Hager | L. Zappella | B. B. Haro
[1] Christian Nøhr,et al. Comparing Approaches to Measuring the Adoption and Usability of Electronic Health Records: Lessons Learned from Canada, Denmark and Finland , 2013, MedInfo.
[2] René Vidal,et al. Surgical Gesture Classification from Video Data , 2012, MICCAI.
[3] Gregory D. Hager,et al. Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation , 2012, IPCAI.
[4] René Vidal,et al. Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Nassir Navab,et al. Statistical modeling and recognition of surgical workflow , 2012, Medical Image Anal..
[6] Pierre Jannin,et al. Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures , 2012, International Journal of Computer Assisted Radiology and Surgery.
[7] Pierre Jannin,et al. An Application-Dependent Framework for the Recognition of High-Level Surgical Tasks in the OR , 2011, MICCAI.
[8] Gregory D. Hager,et al. Human-Machine Collaborative surgery using learned models , 2011, 2011 IEEE International Conference on Robotics and Automation.
[9] Ethem Alpaydin,et al. Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..
[10] Sanjeev Khudanpur,et al. Learning and inference algorithms for dynamical system models of dextrous motion , 2011 .
[11] Andrew Zisserman,et al. The devil is in the details: an evaluation of recent feature encoding methods , 2011, BMVC.
[12] Nassir Navab,et al. Modeling and Segmentation of Surgical Workflow from Laparoscopic Video , 2010, MICCAI.
[13] W. Lowrance,et al. Comparative effectiveness of prostate cancer surgical treatments: a population based analysis of postoperative outcomes. , 2010, The Journal of urology.
[14] Gregory D. Hager,et al. Structure in surgical motion , 2010 .
[15] Gregory D. Hager,et al. Task versus Subtask Surgical Skill Evaluation of Robotic Minimally Invasive Surgery , 2009, MICCAI.
[16] Gregory D. Hager,et al. Data-Derived Models for Segmentation with Application to Surgical Assessment and Training , 2009, MICCAI.
[17] Cordelia Schmid,et al. Evaluation of Local Spatio-temporal Features for Action Recognition , 2009, BMVC.
[18] Gregory D. Hager,et al. Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions , 2009, CVPR.
[19] Manik Varma,et al. More generality in efficient multiple kernel learning , 2009, ICML '09.
[20] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[21] René Vidal,et al. Recognition of Visual Dynamical Processes: Theory, Kernels, and Experimental Evaluation , 2009 .
[22] T. Judkins,et al. Objective evaluation of expert and novice performance during robotic surgical training tasks , 2009, Surgical Endoscopy.
[23] Luc Van Gool,et al. An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector , 2008, ECCV.
[24] Usha Seshadri-Kreaden,et al. What is the learning curve for robotic assisted gynecologic surgery? , 2008, Journal of minimally invasive gynecology.
[25] Nassir Navab,et al. Workflow mining for visualization and analysis of surgeries , 2008, International Journal of Computer Assisted Radiology and Surgery.
[26] Nassir Navab,et al. Automatic feature generation in endoscopic images , 2008, International Journal of Computer Assisted Radiology and Surgery.
[27] Gregory D. Hager,et al. Automatic Recognition of Surgical Motions Using Statistical Modeling for Capturing Variability , 2008, MMVR.
[28] Nassir Navab,et al. A Boosted Segmentation Method for Surgical Workflow Analysis , 2007, MICCAI.
[29] Alexander J. Smola,et al. Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes , 2007, International Journal of Computer Vision.
[30] Guang-Zhong Yang,et al. HMM Assessment of Quality of Movement Trajectory in Laparoscopic Surgery , 2006, MICCAI.
[31] Cordelia Schmid,et al. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[32] Henry C. Lin,et al. Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions , 2006, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.
[33] Gregory D. Hager,et al. Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions. , 2006 .
[34] Ken Masamune,et al. Scrub nurse robot system-intraoperative motion analysis of a scrub nurse and timed-automata-based model for surgery , 2005, IEEE Transactions on Industrial Electronics.
[35] Nuno Vasconcelos,et al. Probabilistic kernels for the classification of auto-regressive visual processes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[36] Rajesh Aggarwal,et al. Laparoscopic task recognition using Hidden Markov Models. , 2005, Studies in health technology and informatics.
[37] Stefano Soatto,et al. Dynamic Textures , 2003, International Journal of Computer Vision.
[38] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[39] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[40] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[41] M. Menon,et al. Robotic radical prostatectomy and the Vattikuti Urology Institute technique: an interim analysis of results and technical points. , 2003, Urology.
[42] Masaaki Mochimaru,et al. Surgical Skill Evaluation by Force Data for Endoscopic Sinus Surgery Training System , 2002, MICCAI.
[43] Bart De Moor,et al. Subspace angles between ARMA models , 2002, Syst. Control. Lett..
[44] B. Hannaford,et al. Task decomposition of laparoscopic surgery for objective evaluation of surgical residents' learning curve using hidden Markov model. , 2002, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.
[45] A. Darzi,et al. The use of electromagnetic motion tracking analysis to objectively measure open surgical skill in the laboratory-based model. , 2001, Journal of the American College of Surgeons.
[46] L. MacKenzie,et al. Hierarchical decomposition of laparoscopic surgery: a human factors approach to investigating the operating room environment , 2001, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.
[47] C. Abbou,et al. Laparoscopic radical prostatectomy with a remote controlled robot. , 2001, The Journal of urology.
[48] B. Hannaford,et al. Skills evaluation in minimally invasive surgery using force/torque signatures , 2000, Surgical Endoscopy.
[49] Richard J. Martin. A metric for ARMA processes , 2000, IEEE Trans. Signal Process..
[50] B. Moor,et al. Subspace angles and distances between ARMA models , 2000 .
[51] James S. Duncan,et al. Medical Image Analysis , 1999, IEEE Pulse.
[52] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[53] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[54] Alexander J. Smola,et al. Learning with kernels , 1998 .
[55] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .