Published Online: 2021-08-27
Published in Print: 2021-08-01
© 2021 by Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Design and Evaluation of a Novel Instrument Gripper for Handling of Surgical Instruments
- Clean-AR: Using Augmented Reality for Reducing the Risk of Contamination from Airborne Disease Agents on Surfaces
- Usability of Haptic Volumetric Assistance for Surgical Navigation Tasks
- 3D Stent Graft Guidance based on Tracking Systems for Endovascular Aneurysm Repair
- A novel optical needle probe for deep learning-based tissue elasticity characterization
- Conception of a C-Arm Parametrization Device Evaluated by an Inverse Registration Approach: An application for 2D/3D Registration in Minimally Invasive Surgery
- Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation
- Parameter Identification for Ultrasound Shear Wave Elastography Simulation
- Electromagnets for an endoscopic anastomosis tool in the colon
- An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research
- AR visualization of automated access path planning for percutaneous interventions
- Tracking heart surface features to determine myocardial contrast agent enrichment
- Biocompatible Soft Material Actuator for Compliant Medical Robots
- Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
- Synthetic data generation for optical flow evaluation in the neurosurgical domain
- A novel tool for monitoring and assessing the outcome of thermal ablations of hepatic lesions
- Segmentation of the Scaphoid Bone in Ultrasound Images
- μRIGS – Ultra-light Micropositioning Robotics for Universal MRI Guided Interventions
- Flexible Facile Tactile Sensor for Smart Vessel Phantoms
- Acting in a Robotic Environment Requires New Skills for Physicians
- Deep learning for calcium segmentation in intravascular ultrasound images
- Interaction concept and system architecture for the sterile information system OR-Pad in the perioperative area
- Deep learning for guidewire detection in intravascular ultrasound images
- Superimposing holograms on real world objects using HoloLens 2 and its depth camera
- Validation of Automated Ultrasound-based Registration for Navigated Scaphoid Fixation
- Facile Testbed for Robotic X-ray based Endovascular Interventions
- Towards a companion system for collision avoidance during robot-assisted needle placement
- Facial Feature Removal for Anonymization of Neurological Image Data
- Towards Automated Surgical Documentation using automatically generated checklists from BPMN models
- Update VertiGo – light affection of mobile VNG
- Initial experiments of eye-tracking during AIassisted polyp-detection in colonoscopy
- Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks
- Applied machine learning for liver surgery
- Sequential U-Net Architecture for Automatic Femoral Artery Segmentation in Ultrasound Images
- Collaborative Robot as Scrub Nurse
- Towards realistic organ models for 3D printing and visualization
- Metrological Support of Medical Drillings at the Lateral Skull Base
Keywords for this article
robot-assisted surgery;
collision avoidance;
augmented reality;
companion system;
hybrid OR
Creative Commons
BY 4.0
Articles in the same Issue
- Design and Evaluation of a Novel Instrument Gripper for Handling of Surgical Instruments
- Clean-AR: Using Augmented Reality for Reducing the Risk of Contamination from Airborne Disease Agents on Surfaces
- Usability of Haptic Volumetric Assistance for Surgical Navigation Tasks
- 3D Stent Graft Guidance based on Tracking Systems for Endovascular Aneurysm Repair
- A novel optical needle probe for deep learning-based tissue elasticity characterization
- Conception of a C-Arm Parametrization Device Evaluated by an Inverse Registration Approach: An application for 2D/3D Registration in Minimally Invasive Surgery
- Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation
- Parameter Identification for Ultrasound Shear Wave Elastography Simulation
- Electromagnets for an endoscopic anastomosis tool in the colon
- An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research
- AR visualization of automated access path planning for percutaneous interventions
- Tracking heart surface features to determine myocardial contrast agent enrichment
- Biocompatible Soft Material Actuator for Compliant Medical Robots
- Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
- Synthetic data generation for optical flow evaluation in the neurosurgical domain
- A novel tool for monitoring and assessing the outcome of thermal ablations of hepatic lesions
- Segmentation of the Scaphoid Bone in Ultrasound Images
- μRIGS – Ultra-light Micropositioning Robotics for Universal MRI Guided Interventions
- Flexible Facile Tactile Sensor for Smart Vessel Phantoms
- Acting in a Robotic Environment Requires New Skills for Physicians
- Deep learning for calcium segmentation in intravascular ultrasound images
- Interaction concept and system architecture for the sterile information system OR-Pad in the perioperative area
- Deep learning for guidewire detection in intravascular ultrasound images
- Superimposing holograms on real world objects using HoloLens 2 and its depth camera
- Validation of Automated Ultrasound-based Registration for Navigated Scaphoid Fixation
- Facile Testbed for Robotic X-ray based Endovascular Interventions
- Towards a companion system for collision avoidance during robot-assisted needle placement
- Facial Feature Removal for Anonymization of Neurological Image Data
- Towards Automated Surgical Documentation using automatically generated checklists from BPMN models
- Update VertiGo – light affection of mobile VNG
- Initial experiments of eye-tracking during AIassisted polyp-detection in colonoscopy
- Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks
- Applied machine learning for liver surgery
- Sequential U-Net Architecture for Automatic Femoral Artery Segmentation in Ultrasound Images
- Collaborative Robot as Scrub Nurse
- Towards realistic organ models for 3D printing and visualization
- Metrological Support of Medical Drillings at the Lateral Skull Base