Low cost distance estimation system using low resolution single camera and high radius convex mirrors. - Narayan Murmu; Debashis Nandi (ICACCI, 2014)

Artificial Bee Colony Optimization for Optimal Reactive Power Dispatch Incorporating FACTS Devices. - Susanta Dutta; Provas Kumar Roy; Debashis Nandi (Int. J. Energy Optim. Eng., 2014)

Quasi Oppositional Teaching-Learning based Optimization for Optimal Power Flow Incorporating FACTS. - Susanta Dutta; Provas Kumar Roy; Debashis Nandi (Int. J. Energy Optim. Eng., 2016)

Optimal Allocation of Static Synchronous Series Compensator Controllers using Chemical Reaction Optimization for Reactive Power Dispatch. - Susanta Dutta; Provas Kumar Roy; Debashis Nandi (Int. J. Energy Optim. Eng., 2016)

Localization of lung fields in HRCT images using a deep convolution neural network. - Abhishek Kumar; Sunita Agarwala; Ashis Kumar Dhara; Debashis Nandi; Sudipta Mukhopadhyay; Mandeep Garg; Niranjan Khandelwal; Naveen Kalra (Computer-Aided Diagnosis, 2018)

Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images. - Sunita Agarwala; Abhishek Kumar; Debashis Nandi; Ashis Kumar Dhara; Anup K. Sadhu; Sumitra Basu Thakur; Ashok Kumar Bhadra (MIUA, 2018)

Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks. - Abhishek Kumar; Sunita Agarwala; Ashis Kumar Dhara; Debashis Nandi; Sumitra Basu Thakur; Ashok Kumar Bhadra; Anup K. Sadhu (MIUA, 2018)

A Novel Automated Financial Transaction System Using Natural Language Processing. - Sachin Agarwal 004; Prasenjit Mukherjee; Baisakhi Chakraborty; Debashis Nandi (AMLTA, 2019)

A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images. - Palash Ghosal; Shanmukha Reddy; Charan Sai; Vikas Pandey; Jayasree Chakraborty; Debashis Nandi (TENCON, 2019)

A Dense U-Net Architecture for Multiple Sclerosis Lesion Segmentation. - Amish Kumar; Oduri Narayana Murthy; Shrish; Palash Ghosal; Amritendu Mukherjee; Debashis Nandi (TENCON, 2019)

Oppositional symbiotic organisms search optimization for multilevel thresholding of color image. - Falguni Chakraborty; Debashis Nandi; Provas Kumar Roy (Appl. Soft Comput., 2019)

Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding. - Falguni Chakraborty; Provas Kumar Roy; Debashis Nandi (Evol. Intell., 2019)

Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features. - Debashis Nandi; Jayashree Karmakar; Amish Kumar; Mrinal Kanti Mandal 002 (IET Image Process., 2019)

CSNet: A new DeepNet framework for ischemic stroke lesion segmentation. - Amish Kumar; Neha Upadhyay; Palash Ghosal; Tamal Chowdhury; Dipayan Das 004; Amritendu Mukherjee; Debashis Nandi (Comput. Methods Programs Biomed., 2020)

Empirical wavelet transform-based fog removal via dark channel prior. - Manas Sarkar; Priyanka Rakshit Sarkar; Ujjwal Mondal; Debashis Nandi (IET Image Process., 2020)

Elephant Herding Optimization for Multi-Level Image Thresholding. - Falguni Chakraborty; Provas Kumar Roy; Debashis Nandi (Int. J. Appl. Metaheuristic Comput., 2020)

Symbiotic Organisms Search Optimization for Multilevel Image Thresholding. - Falguni Chakraborty; Provas Kumar Roy; Debashis Nandi (Int. J. Swarm Intell. Res., 2020)

A novel hyper-chaotic image encryption with sparse-representation based compression. - Jayashree Karmakar; Debashis Nandi; Mrinal Kanti Mandal 002 (Multim. Tools Appl., 2020)

Dynamically learned PSO based neighborhood influenced fuzzy c-means for pre-treatment and post-treatment organ segmentation from CT images. - Tiyasa Chakraborty; Samiran Kumar Banik; Ashok Kumar Bhadra; Debashis Nandi (Comput. Methods Programs Biomed., 2021)

MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images. - Palash Ghosal; Tamal Chowdhury; Amish Kumar; Ashok Kumar Bhadra; Jayasree Chakraborty; Debashis Nandi (Comput. Methods Programs Biomed., 2021)

Sparse representation based compressive video encryption using hyper-chaos and DNA coding. - Jayashree Karmakar; Arghya Pathak; Debashis Nandi; Mrinal Kanti Mandal 002 (Digit. Signal Process., 2021)

Natural language query handling using extended knowledge provider system. - Prasenjit Mukherjee; Atanu Chattopadhyay; Baisakhi Chakraborty; Debashis Nandi (Int. J. Knowl. Based Intell. Eng. Syst., 2021)

Swarm-based painting of an area cluttered with obstacles. - Deepanwita Das; Srabani Mukhopadhyaya; Debashis Nandi (Int. J. Parallel Emergent Distributed Syst., 2021)

A novel chaotic symbiotic organisms search optimization in multilevel image segmentation. - Falguni Chakraborty; Provas Kumar Roy; Debashis Nandi (Soft Comput., 2021)

Filtering Super-Resolution Scan Conversion of Medical Ultrasound Frames. - Dipannita Ghosh; Amish Kumar; Palash Ghosal; Amritendu Mukherjee; Debashis Nandi (Wirel. Pers. Commun., 2021)

A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images. - Amish Kumar; Palash Ghosal; Soumya Snigdha Kundu; Amritendu Mukherjee; Debashis Nandi (Comput. Methods Programs Biomed., 2022)

ViT-ILD: A Vision Transformer-based Neural Network for Detection of Interstitial Lung Disease from CT Images. - Sanjib Saha; Abhishek Kumar; Debashis Nandi (ICMLDE, 2023)

AUNet-MHA: An Attention U-Net based Multi-Head Self Attention for Lung Lesion Segmentation from CT Images. - Sanjib Saha; Abhishek Kumar; Debashis Nandi (ICMLDE, 2023)

Feature enhancing image inpainting through adaptive variation of sparse coefficients. - Arghya Pathak; Jayashree Karmakar; Debashis Nandi; Mrinal Kanti Mandal 002 (Signal Image Video Process., 2023)

ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images. - Sanjib Saha; Subhadeep Dutta; Biswarup Goswami; Debashis Nandi (Biomed. Signal Process. Control., 2023)

Multi-scale dual-channel feature embedding decoder for biomedical image segmentation. - Rohit Agarwal; Palash Ghosal; Anup K. Sadhu; Narayan Murmu; Debashis Nandi (Comput. Methods Programs Biomed., 2024)

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model. - Alloy Das; Rohit Agarwal; Rituparna Singh; Arindam Chowdhury; Debashis Nandi (CoRR, 2024)

Identifying the degree of cornstarch adulteration in turmeric powder using optimized convolutional neural network. - Dipankar Mandal; Debashis Nandi; Bipan Tudu; Arpitam Chatterjee (Intell. Decis. Technol., 2024)

LM-DNN: pre-trained DNN with LSTM and cross Fold validation for detecting viral pneumonia from chest CT. - Sanjib Saha; Debashis Nandi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

CCOCSA-based multi-frame sparse coding super-resolution via mutual information-based weighted image fusion. - Amit Mukhopadhyay; Debashis Nandi; Umapada Pal 001; Baisakhi Chakraborty (Multim. Tools Appl., 2024)

Image deraining via multi-level decomposition and empirical wavelet transform. - Manas Sarkar; Ujjwal Mondal; Umapada Pal 001; Debashis Nandi (Multim. Tools Appl., 2024)

Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation. - Rohit Agarwal; Arindam Chowdhury; Rajib Kumar Chatterjee; Haradhan Chel; Chiranjib Murmu; Narayan Murmu; Debashis Nandi (IEEE J. Biomed. Health Informatics, 2024)

Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images. - Arindam Chowdhury; Ankit Lodh; Rohit Agarwal; Rahul Garai; Ahana Nandi; Narayan Murmu; Sumit Banerjee; Debashis Nandi (Comput. Biol. Medicine, 2025)