Accurate and interpretable evaluation of surgical skills from kinematic
data using fully convolutional neural networks

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

20 August 2019

Hassan Ismail Fawaz

Germain Forestier

Pierre-Alain Muller

Papers citing "Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks"

7 / 7 papers shown

Title
Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication Shekhar Madhav Khairnar Huu Phong Nguyen Alexis Desir Carla Holcomb Daniel J. Scott Ganesh Sankaranarayanan 90 1 0 16 Dec 2024
Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning Erim Yanik Uwe Krüger Xavier Intes Rahul Rahul S. De 35 12 0 17 Mar 2022
Human Gaze Guided Attention for Surgical Activity Recognition Abdishakour Awale Duygu Sarikaya 16 0 0 09 Mar 2022
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark M. Wagner Beat-Peter Müller-Stich A. Kisilenko Duc Tran P. Heger ... M. Frankenberg F. Mathis-Ullrich Lena Maier-Hein Stefanie Speidel S. Bodenstedt 30 67 0 30 Sep 2021
Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks Hanna Kossowsky I. Nisky 21 6 0 23 Sep 2021
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review Erim Yanik Xavier Intes Uwe Krüger Pingkun Yan D. Diller Brian Van Voorst Basiel Makled Jack Norfleet S. De 30 38 0 03 Mar 2021
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020