About Us

The Biological Imaging and Graphics Lab (BIGLAB) develops state-of-the-art computational techniques for applications in biomechanics, agriculture, and medicine. Our research involves modeling and simulation, deep learning, 3D visualization and human-computer interaction.

Recent Publications

SEMG-assisted inverse modelling of 3D lip movement: A feasibility study towards person-specific modelling

Eskes, M; Balm, A J M; Alphen, Van M J A; Smeele, L E; Stavness, I; Heijden, Van Der F

SEMG-assisted inverse modelling of 3D lip movement: A feasibility study towards person-specific modelling Journal Article

Scientific Reports, 7 (1), 2017.

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Deep plant phenomics: A deep learning platform for complex plant phenotyping tasks

Ubbens, J R; Stavness, I

Deep plant phenomics: A deep learning platform for complex plant phenotyping tasks Journal Article

Frontiers in Plant Science, 8 , 2017.

Links | BibTeX

Interactive Visual Calibration of Volumetric Head-Tracked 3D Displays

Wagemakers, Andrew John; Fafard, Dylan Brodie; Stavness, Ian

Interactive Visual Calibration of Volumetric Head-Tracked 3D Displays Inproceedings

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3943–3953, ACM, Denver, Colorado, USA, 2017, ISBN: 978-1-4503-4655-9.

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Projects

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