Lista de obras -

A system for context-aware intraoperative augmented reality in dental implant surgery.

artículo científico publicado en 2014

Active learning using deep Bayesian networks for surgical workflow analysis

scientific article published on 09 April 2019

Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images

scientific article published on 01 January 2014

Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

artículo científico publicado en 2014

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

artículo científico publicado en 2021

Computer-assisted 3D bowel length measurement for quantitative laparoscopy

artículo científico publicado en 2018

Crowdsourcing for reference correspondence generation in endoscopic images

scientific article published on 01 January 2014

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences

artículo científico publicado en 2015

Dense GPU-enhanced surface reconstruction from stereo endoscopic images for intraoperative registration.

artículo científico publicado en 2012

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

artículo científico publicado en 2016

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

artículo científico publicado en 2018

Image-based laparoscopic bowel measurement.

artículo científico publicado en 2015

Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery

artículo científico publicado en 2015

Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video

scientific article published on 04 July 2019

Physics-based shape matching for intraoperative image guidance.

artículo científico publicado en 2014

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

scientific article published on 09 April 2019

Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery.

artículo científico publicado en 2017

The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science

artículo científico publicado en 2023

Lista de obras de

A system for context-aware intraoperative augmented reality in dental implant surgery.

Active learning using deep Bayesian networks for surgical workflow analysis

Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images

Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

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

Computer-assisted 3D bowel length measurement for quantitative laparoscopy

Crowdsourcing for reference correspondence generation in endoscopic images

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences

Dense GPU-enhanced surface reconstruction from stereo endoscopic images for intraoperative registration.

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

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

Image-based laparoscopic bowel measurement.

Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery

Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video

Physics-based shape matching for intraoperative image guidance.

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery.

The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science