Benjamin F. B. Mayer

Orcid: 0000-0002-1025-3496

According to our database¹, Benjamin F. B. Mayer authored at least 11 papers between 2014 and 2018.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Awards

IEEE Fellow

IEEE Fellow 1982, "For contributions to the theory of ferromagnetics and to the development of materials for the suppression of electromagnetic interference.".

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2018

Entwicklung und Evaluation eines computerassistierten Darmlängenmesssystems für die quantitative Laparoskopie in der minimal invasiven Chirurgie.

[BibT_eX]

[DOI]

Benjamin F. B. Mayer

PhD thesis, 2018

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2018

Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed.

[BibT_eX]

[DOI]

Klaus Hermann Maier-Hein

Daniel S. Elson

Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis.

[BibT_eX]

[DOI]

CoRR, 2017

Physiological Parameter Estimation from Multispectral Images Unleashed.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2016

Image-based laparoscopic bowel measurement.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2016

Tissue classification for laparoscopic image understanding based on multispectral texture analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Temporale Kontextvorhersage für die laparoskopische Phasenerkennung.

[BibT_eX]

Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016