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Skip to Search Results- 1LTI: Linear time-invariant, CNS: Central nervous system, DFR: Direct force reflection, DOF: Degree of freedom, LfD: Learning from demonstration, LAR: Learn and replay
- 1Machine Learning, Dictionary Learning, Sparse Coding, Surgical Trajectory Decomposition, Surgical Skills Assessment
- 1Machine Learning, Surgical Skills Evaluation, Ensemble Models, Contrastive Principal Component Analysis (cPCA), t-distributed Stochastic Neighbor Embedding (t-SNE)
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A Domain-Adapted Machine Learning Approach for Visual Evaluation and Interpretation of Robot-Assisted Surgery Skills
Download2022-01-01
Abed Soleymani, Xingyu Li, Mahdi Tavakoli
In this study, we present an intuitive machine learningbased approach to evaluate and interpret surgical skills level of a participant working with robotic platforms. The proposed method is domain-adapted, i.e., jointly utilizes an end-to-end learning approach for smoothness detection and domain...
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2020-01-01
Ran Tao, Renz Ocampo, Jason Fong, Abed Soleymani, Mahdi Tavakoli
Ran Tao, Renz Ocampo, Jason Fong, Abed Soleymani, and Mahdi Tavakoli
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Surgical Procedure Understanding, Evaluation, and Interpretation: A Dictionary Factorization Approach
Download2022-01-01
Abed Soleymani, Xingyu Li, Mahdi Tavakoli
In this study, we present a novel machine learning-based technique to help surgical mentors assess surgical motion trajectories and corresponding surgical skills levels in surgical training programs. The proposed method is a variation of sparse coding and dictionary learning that is...