Shlomi Laufer

Orcid: 0000-0003-1469-5985

According to our database1, Shlomi Laufer authored at least 30 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Depth over RGB: automatic evaluation of open surgery skills using depth camera.
Int. J. Comput. Assist. Radiol. Surg., July, 2024

Towards an autonomous clinical decision support system.
Eng. Appl. Artif. Intell., January, 2024

Automatic performance evaluation of the intracorporeal suture exercise.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for action segmentation using sensor-augmented kinematics.
Pattern Recognit., 2024

Monocular pose estimation of articulated surgical instruments in open surgery.
CoRR, 2024

Robust Surgical Phase Recognition From Annotation Efficient Supervision.
CoRR, 2024

SFGANS Self-supervised Future Generator for human ActioN Segmentation.
CoRR, 2024

CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Automating medical simulations.
J. Biomed. Informatics, August, 2023

Using hand pose estimation to automate open surgery training feedback.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

Kinematic Data-Based Action Segmentation for Surgical Applications.
CoRR, 2023

More Than Meets the Eye: Physicians' Visual Attention in the Operating Room.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

More Than Meets the Eye: Analyzing Anesthesiologists' Visual Attention in the Operating Room Using Deep Learning Models.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

2022
Pose Estimation For Surgical Training.
CoRR, 2022

Using open surgery simulation kinematic data for tool and gesture recognition.
Int. J. Comput. Assist. Radiol. Surg., 2022

Video-based fully automatic assessment of open surgery suturing skills.
Int. J. Comput. Assist. Radiol. Surg., 2022

Open surgery tool classification and hand utilization using a multi-camera system.
Int. J. Comput. Assist. Radiol. Surg., 2022

Bounded Future MS-TCN++ for Surgical Gesture Recognition.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2019
"Touchscreen Assessment Tool" (TATOO), an Assessment Tool Based on the Expanded Conceptual Model of Frailty.
Proceedings of the Enhanced Living Environments, 2019

2018
Modeling Touch and Palpation Using Autoregressive Models.
IEEE Trans. Biomed. Eng., 2018

2016
Evaluation of Simulated Clinical Breast Exam Motion Patterns Using Marker-Less Video Tracking.
Hum. Factors, 2016

Fabric Force Sensors for the Clinical Breast Examination Simulator.
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

A Multi-Layered Needle Injection Simulator.
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

A Simulator for Measuring Forces During Surgical Knots.
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

Junctional and Inguinal Hemorrhage Simulation: Tourniquet Master Training.
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

2014
Tourniquet Master Training for Junctional and Inguinal Hemorrhage Control (TMT).
Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014

Sensor-Based Assessment of Cast Placement and Removal.
Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014

Multimodality Approach to Classifying Hand Utilization for the Clinical Breast Examination.
Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014

Characterizing touch using pressure data and auto regressive models.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2009
Tissue Characterization With an Electrical Spectroscopy SVM Classifier.
IEEE Trans. Biomed. Eng., 2009


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