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Stefanie Speidel

Informatikerin

Name	Stefanie Speidel
Place	Deutschland
Academic degree	Prof. Dr.-Ing.
Profession	Informatikerin (characteristic profession)
Further information	Aktuelle Affiliation: National Center for Tumor Diseases Dresden
Source	Internet
Record type	Person
GND-Identifier	140539794
Record ID	140539794
Involved in show all Comparing a virtual reality head-mounted display to on-screen three-dimensional visualization and two-dimensional computed tomography data for training in decision making in hepatic surgery: a randomized controlled study The Dresden in vivo OCT dataset for automatic middle ear segmentation Exploring semantic consistency in unpaired image translation to generate data for surgical applications Coming in handy: CeTI-Age — A comprehensive database of kinematic hand movements across the lifespan Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study Non-rigid point cloud registration for middle ear diagnostics with endoscopic optical coherence tomography „Cognition-Guided Surgery“ – computergestützte intelligente Assistenzsysteme für die onkologische Chirurgie : Der Stand der Dinge Non-Rigid Liver Registration for Laparoscopy using Data-Driven Biomechanical Models Does caffeine consumption affect laparoscopic skills in a motion tracking analysis? A prospective, randomized, blinded crossover trial Automatic, global registration in laparoscopic liver surgery Comparison of Conventional Methods for Bowel Length Measurement in Laparoscopic Surgery to a Novel Computer-Assisted 3D Measurement System IMHOTEP: cross-professional evaluation of a three-dimensional virtual reality system for interactive surgical operation planning, tumor board discussion and immersive training for complex liver surgery in a head-mounted display Interaktive Workflow Analyse am Beispiel der roboter-assistierten Ösophagusresektion : Ein Checklisten-Tool für Chirurgen im Operationssaal Artificial Intelligence-Assisted Surgery: Potential and Challenges Active learning using deep Bayesian networks for surgical workflow analysis Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data Exploiting the potential of unlabeled endoscopic video data with self-supervised learning Computer-assisted 3D bowel length measurement for quantitative laparoscopy Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon Superpixel-based structure classification for laparoscopic surgery Image-based laparoscopic bowel measurement Analyse endoskopischer Bildsequenzen für ein laparoskopisches Assistenzsystem Analyse endoskopischer Bildsequenzen für ein laparoskopisches Assistenzsystem

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Katalog der Deutschen Nationalbibliothek

Stefanie Speidel

Comparing a virtual reality head-mounted display to on-screen three-dimensional visualization and two-dimensional computed tomography data for training in decision making in hepatic surgery: a randomized controlled study

The Dresden in vivo OCT dataset for automatic middle ear segmentation

Exploring semantic consistency in unpaired image translation to generate data for surgical applications

Coming in handy: CeTI-Age — A comprehensive database of kinematic hand movements across the lifespan

Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study

Non-rigid point cloud registration for middle ear diagnostics with endoscopic optical coherence tomography

„Cognition-Guided Surgery“ – computergestützte intelligente Assistenzsysteme für die onkologische Chirurgie : Der Stand der Dinge

Non-Rigid Liver Registration for Laparoscopy using Data-Driven Biomechanical Models

Does caffeine consumption affect laparoscopic skills in a motion tracking analysis? A prospective, randomized, blinded crossover trial

Automatic, global registration in laparoscopic liver surgery

Comparison of Conventional Methods for Bowel Length Measurement in Laparoscopic Surgery to a Novel Computer-Assisted 3D Measurement System

IMHOTEP: cross-professional evaluation of a three-dimensional virtual reality system for interactive surgical operation planning, tumor board discussion and immersive training for complex liver surgery in a head-mounted display

Interaktive Workflow Analyse am Beispiel der roboter-assistierten Ösophagusresektion : Ein Checklisten-Tool für Chirurgen im Operationssaal

Artificial Intelligence-Assisted Surgery: Potential and Challenges

Active learning using deep Bayesian networks for surgical workflow analysis

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Computer-assisted 3D bowel length measurement for quantitative laparoscopy

Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery

Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon

Superpixel-based structure classification for laparoscopic surgery

Image-based laparoscopic bowel measurement

Analyse endoskopischer Bildsequenzen für ein laparoskopisches Assistenzsystem

Analyse endoskopischer Bildsequenzen für ein laparoskopisches Assistenzsystem