Contact
Email: sandeep.manandhar@inria.fr
manandhar.sandeep@gmail.com
Address: INRIA Rennes – Bretagne Atlantique,
Campus Universitaire de Beaulieu,
35042 Rennes cedex – France
Phone: +33783428904
Website: https://sandeepmanandhar.com/index.php/research/
https://www.bernardspharmacy.com
Brief Vitae
Sandeep Manandhar graduated with a Bachelors degree in electronics and communication engineering from Tribhuvan University, Nepal in 2012. He obtained a Masters degree in computer vision from Université de Bourgogne, France in 2016. He then conducted his PhD thesis work at Inria-Rennes from 2016 to 2019 on the research topic of 3D motion estimation and assessment in 3D fluorescence microscopy volume sequences.
Research
Journal articles
S. Manandhar, P. Bouthemy, E. Welf, G. Danuser, P. Roudot, C. Kervrann. 3D flow field estimation and assessment for live cell fluorescence microscopy. Bioinformatics Oxford, 2019.
V. F. Abrevaya, S. Manandhar, F. H. Wheeler, S. Wuhrer. A 3D+t Laplace operator for temporal mesh sequences. Computers and Graphics, Shape Modeling International, 2016.
Conference papers
S. Manandhar, P. Bouthemy, E. Welf, P. Roudot, C. Kervrann. A sparse-to-dense method for 3D optical flow estimation in 3D light-microscopy image sequences.Proc. IEEE Int. Symp. on Biomedical Imaging (ISBI’18), Washington, April 2018.
S. Manandhar, P. Bouthemy, E. Welf, P. Roudot, C. Kervrann. 3D optical flow estimation combining 3D Census signature and Total Variation regularization, Proc. IEEE Int. Symp. on Biomedical Imaging (ISBI’20), Iowa, 2020 (accepted).
Try our 3D optical flow method
Download the package here: https://gitlab.inria.fr/serpico/serpico-notebooks/tree/master
Start with: ./Allgo/flowscope_allgo.ipynb
