| Automated Training of Deep Convolutional Neural Networks for Cell Segmentation SK Sadanandan Scientific reports 7 (7860), 7, 2017 | 164 | 2017 |
| Deep Convolutional Neural Networks For Detecting Cellular Changes Due To Malignancy H Wieslander, G Forslid, E Bengtsson, C Wählby, JM Hirsch, ... Proceedings of the IEEE International Conference on Computer Vision, 82-89, 2017 | 73 | 2017 |
| Deep fish: deep learning–based classification of zebrafish deformation for high-throughput screening O Ishaq, SK Sadanandan, C Wählby SLAS Discovery: Advancing Life Sciences R&D 22 (1), 102-107, 2017 | 42 | 2017 |
| Segmentation and track-analysis in time-lapse imaging of bacteria SK Sadanandan, Ö Baltekin, KEG Magnusson, A Boucharin, P Ranefall, ... IEEE Journal of Selected Topics in Signal Processing 10 (1), 174-184, 2015 | 39 | 2015 |
| Fast adaptive local thresholding based on ellipse fit P Ranefall, SK Sadanandan, C Wählby 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 205-208, 2016 | 27 | 2016 |
| Feature augmented deep neural networks for segmentation of cells SK Sadanandan, P Ranefall, C Wählby Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 20 | 2016 |
| Spheroid Segmentation Using Multiscale Deep Adversarial Networks S Kecheril Sadanandan, J Karlsson, C Wahlby Proceedings of the IEEE International Conference on Computer Vision, 36-41, 2017 | 19 | 2017 |
| Segmentation of lung glandular cells using multiple color spaces SS Kecheril, D Venkataraman, J Suganthi, K Sujathan International Journal of Computer Science, Engineering and Applications 2 (3 …, 2012 | 18 | 2012 |
| Automated lung cancer detection by the analysis of glandular cells in sputum cytology images using scale space features SS Kecheril, D Venkataraman, J Suganthi, K Sujathan Signal, Image and Video Processing 9, 851-863, 2015 | 14 | 2015 |
| Deep Neural Networks and Image Analysis for Quantitative Microscopy SK Sadanandan Acta Universitatis Upsaliensis, 2017 | 4 | 2017 |
| SaddleSURF: A Saddle Based Interest Point Detector S Kecheril S, A Issac, C Shunmuga Velayutham Mathematical Modelling and Scientific Computation, 413-420, 2012 | 1* | 2012 |
| Global And Local Adaptive Gray-level Thresholding Based on Object Features P Ranefall, SK Sadanandan, C Wählby Swedish Symposium on Image Analysis 2016 (SSBA 2016) March 14-16 2016 …, 2016 | | 2016 |
Carolina WählbyProfessor of Quantitative Microscopy, SciLifeLab and Dept. IT, Uppsala University, SwedenVerified email at it.uu.se
