Automated robot‐assisted surgical skill evaluation: Predictive analytics approach
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Michael D Klein | Abhilash K Pandya | Mahtab J Fard | Ratna B Chinnam | Sattar Ameri | R Darin Ellis | A. Pandya | R. Chinnam | Sattar Ameri | R. Darin Ellis | M. Klein | M. J. Fard
[1] Kevin P. Murphy,et al. Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.
[2] Teodor P Grantcharov,et al. Assessment of technical surgical skills. , 2002, The European journal of surgery = Acta chirurgica.
[3] Senén Barro,et al. Do we need hundreds of classifiers to solve real world classification problems? , 2014, J. Mach. Learn. Res..
[4] Ratna Babu Chinnam,et al. Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery , 2016, WCE 2016.
[5] Mahtab Jahanbani Fard,et al. Computational Modeling Approaches For Task Analysis In Robotic-Assisted Surgery , 2016 .
[6] 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.
[7] R Darin Ellis,et al. Distance‐based time series classification approach for task recognition with application in surgical robot autonomy , 2017, The international journal of medical robotics + computer assisted surgery : MRCAS.
[8] Stephane Cotin,et al. Metrics for Laparoscopic Skills Trainers: The Weakest Link! , 2002, MICCAI.
[9] Masaaki Mochimaru,et al. Surgical Skill Evaluation by Force Data for Endoscopic Sinus Surgery Training System , 2002, MICCAI.
[10] R. Darin Ellis,et al. Toward Personalized Training and Skill Assessment in Robotic Minimally Invasive Surgery , 2016, WCE 2016.
[11] Gregory D. Hager,et al. A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery , 2017, IEEE Transactions on Biomedical Engineering.
[12] Ping Wang,et al. A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data , 2016, IEEE Transactions on Knowledge and Data Engineering.
[13] Danail Stoyanov,et al. Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions , 2016, International Journal of Computer Assisted Radiology and Surgery.
[14] J. O'Connor. Objective assessment of technical skills in surgery , 2004, BMJ : British Medical Journal.
[15] A. Darzi,et al. HMM assessment of quality of movement trajectory in laparoscopic surgery , 2007, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.
[16] Vilis O. Nams,et al. Using animal movement paths to measure response to spatial scale , 2005, Oecologia.
[17] Jaewook Bae,et al. The gestural joystick and the efficacy of path tortuosity in rubbled environments , 2008, 2008 SICE Annual Conference.
[18] Petros Faloutsos,et al. Support vector machines improve the accuracy of evaluation for the performance of laparoscopic training tasks , 2009, Surgical Endoscopy.
[19] 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.
[20] John Kenneth Salisbury,et al. The Intuitive/sup TM/ telesurgery system: overview and application , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[21] R. Reznick,et al. Objective structured assessment of technical skill (OSATS) for surgical residents , 1997, The British journal of surgery.
[22] Vilis O Nams,et al. Improving Accuracy and Precision in Estimating Fractal Dimension of Animal movement paths , 2006, Acta biotheoretica.
[23] Gregory D. Hager,et al. Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation , 2012, IPCAI.
[24] Giovanni Saggio,et al. Objective Surgical Skill Assessment: An Initial Experience by Means of a Sensory Glove Paving the Way to Open Surgery Simulation? , 2015, Journal of surgical education.
[25] Stephan Dreiseitl,et al. Do physicians value decision support? A look at the effect of decision support systems on physician opinion , 2005, Artif. Intell. Medicine.
[26] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[27] Paolo Dario,et al. Modelling and Evaluation of Surgical Performance Using Hidden Markov Models , 2006, IEEE Transactions on Biomedical Engineering.
[28] A. Scherpbier,et al. Validation and implementation of surgical simulators: a critical review of present, past, and future , 2009, Surgical Endoscopy.
[29] T. Judkins,et al. Objective evaluation of expert and novice performance during robotic surgical training tasks , 2009, Surgical Endoscopy.
[30] Richard M. Voyles,et al. The gestural joystick and the efficacy of the path tortuosity metric for human/robot interaction , 2008, PerMIS.
[31] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[32] J. Dankelman,et al. Objective classification of residents based on their psychomotor laparoscopic skills , 2009, Surgical Endoscopy.
[33] Henry C. Lin,et al. JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling , 2014 .
[34] Masaru Ishii,et al. Automated objective surgical skill assessment in the operating room from unstructured tool motion in septoplasty , 2015, International Journal of Computer Assisted Radiology and Surgery.
[35] W. Kearns,et al. Tortuosity in Movement Paths Is Related to Cognitive Impairment , 2010, Methods of Information in Medicine.
[36] Jacques Marescaux,et al. Transatlantic robot-assisted telesurgery , 2001, Nature.
[37] Guang-Zhong Yang,et al. HMM Assessment of Quality of Movement Trajectory in Laparoscopic Surgery , 2006, MICCAI.
[38] Ara Darzi,et al. The relationship between motion analysis and surgical technical assessments. , 2002, American journal of surgery.
[39] Ratna Babu Chinnam,et al. Soft Boundary Approach for Unsupervised Gesture Segmentation in Robotic-Assisted Surgery , 2017, IEEE Robotics and Automation Letters.
[40] Gregory D. Hager,et al. Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions. , 2006 .
[41] Gregory D. Hager,et al. Data-Derived Models for Segmentation with Application to Surgical Assessment and Training , 2009, MICCAI.
[42] Henry C. Lin,et al. Review of methods for objective surgical skill evaluation , 2011, Surgical Endoscopy.
[43] Andrew A Gumbs,et al. Evaluation of resident laparoscopic performance using global operative assessment of laparoscopic skills. , 2007, Journal of the American College of Surgeons.
[44] Constantinos G. Loukas,et al. Multivariate Autoregressive Modeling of Hand Kinematics for Laparoscopic Skills Assessment of Surgical Trainees , 2011, IEEE Transactions on Biomedical Engineering.
[45] B. Mandelbrot. How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension , 1967, Science.
[46] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[47] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[48] Blake Hannaford,et al. Markov modeling of minimally invasive surgery based on tool/tissue interaction and force/torque signatures for evaluating surgical skills , 2001, IEEE Transactions on Biomedical Engineering.
[49] David G. Kleinbaum,et al. Computing the Odds Ratio in Logistic Regression , 2010 .