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Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Computer Vision – ECCV 2016 Workshops, p.47-54

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Temporal Convolutional Networks for Action Segmentation and Detection

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.1003-1012

2017

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Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel Data

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2020-12, Vol.67 (12), p.2493-2509

2020

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Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In Vivo Clinical Data

IEEE transactions on medical imaging, 2018-10, Vol.37 (10), p.2185-2195

2018

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Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy

OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis, p.128-138

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Appearance learning for 3D tracking of robotic surgical tools

The International journal of robotics research, 2014-02, Vol.33 (2), p.342-356

2014

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Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques

JAMA network open, 2019-04, Vol.2 (4), p.e191860-e191860

2019

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Vision-Based Calibration of Dual RCM-Based Robot Arms in Human-Robot Collaborative Minimally Invasive Surgery

IEEE robotics and automation letters, 2018-04, Vol.3 (2), p.672-679

2018

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Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1464-1477

2018

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Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

1st ed. 2016, 2016

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Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

2016

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Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods

IEEE transactions on medical imaging, 2020-05, Vol.39 (5), p.1438-1447

2020

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Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation

Computer Vision – ECCV 2016, p.36-52

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A Deep Learning Based Alternative to Beamforming Ultrasound Images

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.3359-3363

2018

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Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor

Critical care medicine, 2017-04, Vol.45 (4), p.630-636

2017

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Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.1623-1631

2017

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Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU

Critical care medicine, 2019-09, Vol.47 (9), p.1232-1234

2019

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S3D: Stacking Segmental P3D for Action Quality Assessment

2018 25th IEEE International Conference on Image Processing (ICIP), 2018, p.928-932

2018

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The deformable most-likely-point paradigm

Medical image analysis, 2019-07, Vol.55, p.148-164

2019

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Exploring Visual Engagement Signals for Representation Learning

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.4186-4197

2021

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Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks

OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis, p.118-127

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Regularizing face verification nets for pain intensity regression

2017 IEEE International Conference on Image Processing (ICIP), 2017, p.1087-1091

2017

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Endoscopic Navigation in the Absence of CT Imaging

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.64-71

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Surgical Structured Light for 3D minimally invasive surgical imaging

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014, p.1282-1287

2014

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2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing

Computer-Assisted and Robotic Endoscopy, 2016, p.90-100

2016

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Temporal Convolutional Networks: A Unified Approach to Action Segmentation

Temporal Convolutional Networks for Action Segmentation and Detection

Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel Data

Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In Vivo Clinical Data

Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy

Appearance learning for 3D tracking of robotic surgical tools

Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques

Vision-Based Calibration of Dual RCM-Based Robot Arms in Human-Robot Collaborative Minimally Invasive Surgery

Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning

Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods

Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation

A Deep Learning Based Alternative to Beamforming Ultrasound Images

Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU

S3D: Stacking Segmental P3D for Action Quality Assessment

The deformable most-likely-point paradigm

Exploring Visual Engagement Signals for Representation Learning

Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks

Regularizing face verification nets for pain intensity regression

Endoscopic Navigation in the Absence of CT Imaging

Surgical Structured Light for 3D minimally invasive surgical imaging

2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing

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