Dr Saumya Reni

Lecturer

DepartmentComputer Science and Engineering
Research groupApplied DSP and VLSI

Research outputs

Hardware implementation of Modified Annular Ring Ratio for Blood Cell Detection in Thin Blood Smear Images
Stecowiat, A., Reni, S. and Kale, I. 2018. Hardware implementation of Modified Annular Ring Ratio for Blood Cell Detection in Thin Blood Smear Images. Procedia Computer Science. 141, pp. 390-395. doi:10.1016/j.procs.2018.10.185

Mobile Hardware Based Implementation of a Novel, Efficient, Fuzzy Logic Inspired Edge Detection Technique for Analysis of Malaria Infected Microscopic Thin Blood Images
Bias, S., Reni, S. and Kale, I. 2018. Mobile Hardware Based Implementation of a Novel, Efficient, Fuzzy Logic Inspired Edge Detection Technique for Analysis of Malaria Infected Microscopic Thin Blood Images. Procedia Computer Science. 141, pp. 390-395. doi:10.1016/j.procs.2018.10.187

Analysis of Thin Blood Images for Automated Malaria Diagnosis
Reni, S., Kale, I. and Morling, R.C.S. 2015. Analysis of Thin Blood Images for Automated Malaria Diagnosis. E-Health and Bioengineering Conference (EHB). Iasi, Romania 19 - 21 Nov 2015 IEEE . doi:10.1109/EHB.2015.7391597

Automated Malaria Parasite Detection in Thin Blood Films:- A Hybrid, Illumination and Colour Constancy Insensitive Morphological Approach
Reni, S., Kale, I. and Morling, R.C.S. 2012. Automated Malaria Parasite Detection in Thin Blood Films:- A Hybrid, Illumination and Colour Constancy Insensitive Morphological Approach. IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS. Kaohsiung, Taiwan 02 Dec 2012 IEEE . doi:10.1109/APCCAS.2012.6419016

Real Time Blood Image Processing Application for Malaria Diagnosis Using Mobile Phones
Dallet, C., Reni, S. and Kale, I. 2014. Real Time Blood Image Processing Application for Malaria Diagnosis Using Mobile Phones. IEEE International Symposium on Circuits and Systemss, ISCAS 2014. Melbourne, Victoria, Australia 01 Jun 2014 IEEE . doi:10.1109/ISCAS.2014.6865657

Analysis of Thin Blood Images for Automated Malaria Diagnosis
Reni, S., Kale, I. and Morling, R.C.S. 2015. Analysis of Thin Blood Images for Automated Malaria Diagnosis. The 5th IEEE International Conference on E-Health and Bioengineering - EHB 2015. Ia┼či, Romania, November 19-21, 2015 19 Nov 2015 doi:10.1109/EHB.2015.7391597

A novel method to count the red blood cells in thin blood films
Kareem, S., Morling, R.C.S., Kale, I. and Reni, S. 2011. A novel method to count the red blood cells in thin blood films. in: Proceedings of the 2011 IEEE International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, 15-18 May 2011 IEEE . pp. 1021-1024

Automated P.falciparum detection system for post-treatment malaria diagnosis using modified annular ring ratio method
Kareem, S., Kale, I., Morling, R.C.S. and Reni, S. 2012. Automated P.falciparum detection system for post-treatment malaria diagnosis using modified annular ring ratio method. in: Al-Dabass, D., Orsoni, A. and Cant, R. (ed.) Proceedings of the 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim), Cambridge, 28-30 March 2012 IEEE . pp. 432-436