My research experience revolves around application of AI in fields such as:
Person activity tracking
2022 EB. Kayal and N Sharma and Sharma, R. and Bakhshi, S. and Kandasamy, D. and Mehndiratta, A. T1 mapping as a surrogate marker of chemotherapy response evaluation in patients with osteosarcoma. European Journal of Radiology, volume 148, page 110170. Elsevier, 2022, ( Impact Factor:4.531 ).
2022 Ghosh, N. and Saha, I. and N Sharma and Nandi, S. Bioinformatics pipeline of indian sars-cov-2 genomes showing genetic variability to synthetic vaccine design. International Immunopharmacology, volume In Press. Elsevier, 2022, ( Impact Factor:4.932 ).
2022 N. Ghosh, I. Saha, N Sharma, and JP. Sarkar. Human mirnas to identify potential regions of sars-cov-2. ACS Omega, volume 7(24), pages 21086–21101. ACS Publications, 2022, ( Impact Factor:4.132 ).
2022 N. Ghosh, I. Saha, and N Sharma. Palindromic target site identification in sars-cov-2, mers-cov and sars-cov-1 by adopting crispr-cas technique. Gene, volume 818, page 146136. Elsevier, 2022, ( Impact Factor:3.913 ).
2022 N. Ghosh, I. Saha, S. Nandi, and N Sharma. Characterisation of sars-cov-2 clades based on signature snps unveils continuous evolution. Methods, volume 203, pages 282–296. Elsevier, 2022, ( Impact Factor:4.647 ).
2021 Saha, I. and Ghosh, N. and Pradhan, A. and N Sharma and Maity, D., and Mitra, K. Whole genome analysis of more than 10 000 sars-cov-2 virus unveils global genetic diversity and target region of nsp6. Briefings in Bioinformatics, volume 22, pages 1106–1121. Oxford, 2021, ( Impact Factor:11.622 ).
2021 I. Saha, N. Ghosh, N Sharma, and S. Nandi. Hotspot mutations in sars-cov-2. Frontiers in Genetics, volume 12, page 753440. Frontiers Media, 2021, ( Impact Factor:4.772 ). 2021 Ghosh, N. and Saha, I. and N Sharma and Saha, S. Genome-wide analysis of indian sars-cov-2 genomes to identify t-cell and b-cell epitopes from conserved regions based on immunogenicity and antigenicity. International Immunopharmacology, volume 91. Elsevier, 2021, ( Impact Factor:4.932 )
2021 N. Ghosh, N Sharma, and I. Saha. Immunogenicity and antigenicity based t-cell and b-cell epitopes identification from conserved regions of 10664 sars-cov-2 genomes. Infections, Genetics and Evolution, volume 92, page 104823. Elsevier, 2021, ( Impact Factor:3.342 ).
2021 N. Ghosh, I. Saha, N Sharma, S. Nandi, and D. Plewczynski. Genome-wide analysis of 10664 sarscov-2 genomes to identify virus strains in 73 countries based on single nucleotide polymorphism. Virus Research, volume 298, page 198401. Elsevier, 2021, ( Impact Factor:3.303 ).
2021 N. Ghosh, I. Saha, and N Sharma. Interactome of human and sars-cov-2 proteins to identify human hub proteins associated with comorbidities. Computers in Biology and Medicine, volume 138, page 104889. Elsevier, 2021, ( Impact Factor:6.69 ).
2020 I. Saha, N. Ghosh, D. Maity, N Sharma, JP. Sarkar, and K. Mitra. Genome-wide analysis of indian sars-cov-2 genomes for the identification of genetic mutation and snp. Infections, Genetics and Evolution, volume 85, page 104457. Elsevier, 2020, ( Impact Factor:3.342 ).
2020 I. Saha, N. Ghosh, D. Maity, N Sharma, and K. Mitra. Inferring the genetic variability in indian sars-cov-2 genomes using consensus of multiple sequence alignment techniques. Infections, Genetics and Evolution, volume 85, page 104522. Elsevier, 2020, ( Impact Factor:3.342 ).
Conference Proceedings and Posters :
2023 3D segmentation of whole lung and lung nodules using region growing algorithm and shape-based morphology E.B. Kayal, S. Ganguly, A. Sasi, Dheeksha DS, M. Saini, S. Sharma, S. Gupta, N. Sharma, K. Rangarajan, S. Bakhshi, D. Kandasamy, A. Mehndiratta
2022 N Sharma, S. Gupta, N. Ghosh, and I. Saha. Face identification and recognition of sttp participants of nitttr kolkata with the integration of feature extractor and machine learning: A comparative study. In In Proc. of National Conference on Engineering Education (NCEE), Kolkata, India, November 2021, page 42. NITTTR, Kolkata, 2022.
2022 S. Gupta, N Sharma, N. Ghosh, and I. Saha. Comparative study of deep transfer learning techniques for the detection of covid-19 using chest x-ray images. In In Proc. of National Conference on Engineering Education (NCEE), Kolkata, India, November 2021, page 102. NITTTR, Kolkata, 2022.
2021 A. Srivastava, N Sharma, S. Gupta, and S. Chandra. Residual dense u-net for segmentation of lung ct images infected with covid-19. In International Advanced Computing Conference, 2021, pages 17–30. Springer, 2021.
2021 P. Arora, N Sharma, P. Bhatt, and A. Saxena. Skin lesion segmentation using deep convolutional networks. In Concepts and Real-Time Applications of Deep Learning, 2021, pages 111–122. Springer, 2021.