about
Physics-based shape matching for intraoperative image guidance.Intraoperative on-the-fly organ-mosaicking for laparoscopic surgery.Projective biomechanical depth matching for soft tissue registration in laparoscopic surgery.Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression.Toward knowledge-based liver surgery: holistic information processing for surgical decision support.Tissue classification for laparoscopic image understanding based on multispectral texture analysis.Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging.OpenHELP (Heidelberg laparoscopy phantom): development of an open-source surgical evaluation and training tool.Image-based laparoscopic bowel measurement.Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences.Combined Modality for Ultrasound Imaging and Electromagnetic Tracking.Electromagnetic organ tracking allows for real-time compensation of tissue shift in image-guided laparoscopic rectal surgery: results of a phantom study.Direct Observation versus Endoscopic Video Recording-Based Rating with the Objective Structured Assessment of Technical Skills for Training of Laparoscopic Cholecystectomy.[Laparoscopic versus open rectal cancer resection: oncologically equal?].Toward a standard ontology of surgical process modelsReirradiation Using Carbon Ions in Patients with Locally Recurrent Rectal Cancer at HIT: First ResultsCrowdsourcing for reference correspondence generation in endoscopic imagesComputer-assisted 3D bowel length measurement for quantitative laparoscopyMobile, real-time, and point-of-care augmented reality is robust, accurate, and feasible: a prospective pilot studyExploiting the potential of unlabeled endoscopic video data with self-supervised learning[Intelligent operating room suite : From passive medical devices to the self-thinking cognitive surgical assistant]Surgical data science for next-generation interventions
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description
researcher ORCID ID = 0000-0002-9831-9110
@en
name
M Wagner
@ast
M Wagner
@en
M Wagner
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type
label
M Wagner
@ast
M Wagner
@en
M Wagner
@nl
prefLabel
M Wagner
@ast
M Wagner
@en
M Wagner
@nl
P214
P214
P31
P496
0000-0002-9831-9110
P734
P7859
viaf-311442543