Surgeon Technical Skill Assessment using Computer Vision based Analysis

[1]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[2]  Chih-Jen Lin,et al.  LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..

[3]  Li Fei-Fei,et al.  ImageNet: A large-scale hierarchical image database , 2009, CVPR.

[4]  A. Goh,et al.  Global evaluative assessment of robotic skills: validation of a clinical assessment tool to measure robotic surgical skills. , 2012, The Journal of urology.

[5]  Deva Ramanan,et al.  Efficiently Scaling up Crowdsourced Video Annotation , 2012, International Journal of Computer Vision.

[6]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[7]  Russell H. Taylor,et al.  Data-Driven Visual Tracking in Retinal Microsurgery , 2012, MICCAI.

[8]  Ben Taskar,et al.  MODEC: Multimodal Decomposable Models for Human Pose Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Sébastien Ourselin,et al.  Toward Detection and Localization of Instruments in Minimally Invasive Surgery , 2013, IEEE Transactions on Biomedical Engineering.

[10]  Andrew Zisserman,et al.  Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.

[11]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.

[12]  Pascal Fua,et al.  Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery , 2014, MICCAI.

[13]  Bernt Schiele,et al.  2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[14]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Trevor Darrell,et al.  Fully convolutional networks for semantic segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[16]  Sébastien Ourselin,et al.  Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow , 2015, MICCAI.

[17]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[18]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[19]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Steven L. Chang,et al.  Robot-assisted Versus Open Radical Prostatectomy: A Contemporary Analysis of an All-payer Discharge Database. , 2016, European urology.

[21]  Jia Deng,et al.  Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.

[22]  David C. Miller,et al.  Measuring to Improve: Peer and Crowd-sourced Assessments of Technical Skill with Robot-assisted Radical Prostatectomy. , 2016, European urology.

[23]  Zhiao Huang,et al.  Associative Embedding: End-to-End Learning for Joint Detection and Grouping , 2016, NIPS.