Sajith Kecheril Sadanandan

According to our database, Sajith Kecheril Sadanandan authored at least 6 papers between 2016 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Deep Neural Networks and Image Analysis for Quantitative Microscopy.

Sajith Kecheril Sadanandan

PhD thesis, 2017

Spheroid Segmentation Using Multiscale Deep Adversarial Networks.

Sajith Kecheril Sadanandan, Johan Karlsson, Carolina Wählby

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy.

Gustav Forslid, Håkan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria.

Sajith Kecheril Sadanandan, Ozden Baltekin, Klas E. G. Magnusson, Alexis Boucharin, Petter Ranefall, Joakim Jaldén, Johan Elf, Carolina Wählby

IEEE J. Sel. Top. Signal Process., 2016

Fast adaptive local thresholding based on ellipse fit.

Petter Ranefall, Sajith Kecheril Sadanandan, Carolina Wählby

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Feature Augmented Deep Neural Networks for Segmentation of Cells.

Sajith Kecheril Sadanandan, Petter Ranefall, Carolina Wählby

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016