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Sajith Kecheril Sadanandan

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2017
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  - electronic edition @ nbn-resolving.org
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Sajith Kecheril Sadanandan:
Deep Neural Networks and Image Analysis for Quantitative Microscopy. Uppsala University, Sweden, 2017
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Sajith Kecheril Sadanandan, Johan Karlsson, Carolina Wählby:
Spheroid Segmentation Using Multiscale Deep Adversarial Networks. ICCV Workshops 2017: 36-41
[c3]
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Gustav Forslid, Håkan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan:
Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. ICCV Workshops 2017: 82-89
2016
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Sajith Kecheril Sadanandan, Ozden Baltekin, Klas E. G. Magnusson, Alexis Boucharin, Petter Ranefall, Joakim Jaldén, Johan Elf, Carolina Wählby:
Segmentation and Track-Analysis in Time-Lapse Imaging of Bacteria. IEEE J. Sel. Top. Signal Process. 10(1): 174-184 (2016)
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Sajith Kecheril Sadanandan, Petter Ranefall, Carolina Wählby:
Feature Augmented Deep Neural Networks for Segmentation of Cells. ECCV Workshops (1) 2016: 231-243
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Petter Ranefall, Sajith Kecheril Sadanandan, Carolina Wählby:
Fast adaptive local thresholding based on ellipse fit. ISBI 2016: 205-208

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