Analyzing epileptogenic brain connectivity networks using clinical EEG data. - Abhijit Dasgupta 001; Ritankar Das; Losiana Nayak; Rajat K. De (BIBM, 2015)

Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data. - Abhijit Dasgupta 001; Losiana Nayak; Ritankar Das; Debasis Basu; Preetam Chandra; Rajat K. De (PReMI, 2017)

Succinate aggravates NAFLD progression to liver cancer on the onset of obesity: An in silico model. - Indrani Ray; Abhijit Dasgupta 001; Rajat K. De (J. Bioinform. Comput. Biol., 2018)

Two-Class in Silico Categorization of Intermediate Epileptic EEG Data. - Abhijit Dasgupta 001; Ritankar Das; Losiana Nayak; Ashis Datta; Rajat K. De (PReMI (2), 2019)

Metabolic pathway engineering: Perspectives and applications. - Abhijit Dasgupta 001; Nirmalya Chowdhury; Rajat K. De (Comput. Methods Programs Biomed., 2020)

Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data. - Abhijit Dasgupta 001; Losiana Nayak; Ritankar Das; Debasis Basu; Preetam Chandra; Rajat K. De (Fundam. Informaticae, 2020)

Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence. - Abhijit Dasgupta 001; Abhisek Bakshi; Srijani Mukherjee; Kuntal Das; Soumyajeet Talukdar; Pratyayee Chatterjee; Sagnik Mondal; Puspita Das; Subhrojit Ghosh; Archisman Som; Pritha Roy; Rima Kundu; et al. (WIREs Data Mining Knowl. Discov., 2022)

Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference. - Abhisek Bakshi; Souvik Sengupta 001; Rajat K. De; Abhijit Dasgupta 001 (Expert Syst. Appl., 2025)