National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance
NIT Rourkela Inside Page Banner

All Publications

Saptarshi Chatterjee

Assistant Professor Grade-II
chatterjees@nitrkl.ac.in

A. Halder, S. Chatterjee, D. Dey, S. Kole, and S. Munshi,"An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image", Computer methods and programs in biomedicine, vol.197, Elsevier 2020, 10.1016/j.cmpb.2020.105720       Article
A. Halder, S. Chatterjee, and D. Dey,"Superpixel and density based region segmentation algorithm for lung nodule detection", in Proceedings 2020 IEEE Calcutta Conference (CALCON), IEEE 2020, https://doi.org/10.1109/CALCON49167.2020.9106569       Inproceedings
A. Halder, S. Chatterjee, and D. Dey,"Morphological filter aided GMM technique for lung nodule detection", in 2nd IEEE Applied Signal Processing Conference, pp.198-202, IEEE 2020, https://doi.org/10.1109/ASPCON49795.2020.9276715       Inproceedings
A. Biswas, S. Chatterjee, and S. Munshi,"Automated system design for the identification of sleep disorder: cross-correlation and SVM based approach", in 2020 IEEE VLSI device circuit and system (VLSI DCS), pp.1-5, IEEE 2020, https://doi.org/10.1109/VLSIDCS47293.2020.9179872       Inproceedings
S. Chatterjee, D. Dey, and S. Munshi,"Empirical Wavelet Fractal Texture Analysis for Skin Disease Identification", in 2020 IEEE Region 10 Symposium (TENSYMP), IEEE 2020, 10.1109/TENSYMP50017.2020.9230698       Inproceedings
S. Chatterjee, D. Dey, and S. Munshi,"Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification", Computer methods and programs in biomedicine, Elsevier 2019, 10.1016/j.cmpb.2019.06.018       Article
S. Chatterjee, D. Dey, S. Munshi, and S. Gorai,"Extraction of features from cross correlation in space and frequency domains for classification of skin lesions", Biomedical Signal Processing and Control, vol.53, Elsevier 2019, 10.1016/j.bspc.2019.101581       Article
S. Chatterjee, D. Dey, and S. Munshi,"Morphological, Texture and Auto-encoder based Feature Extraction Techniques for Skin Disease Classification", in Proc. of 2019 IEEE 16th India Council International Conference (INDICON), IEEE 2019, https://doi.org/10.1109/INDICON47234.2019.9028976       Inproceedings
S. Pal, S. Chatterjee, D. Dey, and S. Munshi,"Morphological operations with iterative rotation of structuring elements for segmentation of retinal vessel structures", Multidimensional Systems and Signal Processing, vol.30, pp.373–389, Springer 2018, 10.1007/s11045-018-0561-9       Article
S. Chatterjee, D. Dey, and S. Munshi,"Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions", Biomedical Signal Processing and Control, vol.40, pp.252-262, Elsevier 2017, 10.1016/j.bspc.2017.09.028       Article