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Debashis Nandi
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2020 – today
- 2024
- [j27]Sanjib Saha, Debashis Nandi:
LM-DNN: pre-trained DNN with LSTM and cross Fold validation for detecting viral pneumonia from chest CT. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024) - [j26]Rohit Agarwal, Palash Ghosal, Anup K. Sadhu, Narayan Murmu, Debashis Nandi:
Multi-scale dual-channel feature embedding decoder for biomedical image segmentation. Comput. Methods Programs Biomed. 257: 108464 (2024) - [j25]Dipankar Mandal, Debashis Nandi, Bipan Tudu, Arpitam Chatterjee:
Identifying the degree of cornstarch adulteration in turmeric powder using optimized convolutional neural network. Intell. Decis. Technol. 18(3): 1955-1964 (2024) - [j24]Amit Mukhopadhyay, Debashis Nandi, Umapada Pal, Baisakhi Chakraborty:
CCOCSA-based multi-frame sparse coding super-resolution via mutual information-based weighted image fusion. Multim. Tools Appl. 83(1): 2427-2471 (2024) - [j23]Manas Sarkar, Ujjwal Mondal, Umapada Pal, Debashis Nandi:
Image deraining via multi-level decomposition and empirical wavelet transform. Multim. Tools Appl. 83(31): 76107-76129 (2024) - [j22]Rohit Agarwal, Arindam Chowdhury, Rajib Kumar Chatterjee, Haradhan Chel, Chiranjib Murmu, Narayan Murmu, Debashis Nandi:
Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation. IEEE J. Biomed. Health Informatics 28(12): 7195-7205 (2024) - [i1]Alloy Das, Rohit Agarwal, Rituparna Singh, Arindam Chowdhury, Debashis Nandi:
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model. CoRR abs/2408.14927 (2024) - 2023
- [j21]Sanjib Saha, Subhadeep Dutta, Biswarup Goswami, Debashis Nandi:
ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images. Biomed. Signal Process. Control. 85: 104974 (2023) - [j20]Arghya Pathak, Jayashree Karmakar, Debashis Nandi, Mrinal Kanti Mandal:
Feature enhancing image inpainting through adaptive variation of sparse coefficients. Signal Image Video Process. 17(4): 1189-1197 (2023) - 2022
- [j19]Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nandi:
A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images. Comput. Methods Programs Biomed. 226: 107157 (2022) - 2021
- [j18]Palash Ghosal, Tamal Chowdhury, Amish Kumar, Ashok Kumar Bhadra, Jayasree Chakraborty, Debashis Nandi:
MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images. Comput. Methods Programs Biomed. 200: 105841 (2021) - [j17]Tiyasa Chakraborty, Samiran Kumar Banik, Ashok Kumar Bhadra, Debashis Nandi:
Dynamically learned PSO based neighborhood influenced fuzzy c-means for pre-treatment and post-treatment organ segmentation from CT images. Comput. Methods Programs Biomed. 202: 105971 (2021) - [j16]Jayashree Karmakar, Arghya Pathak, Debashis Nandi, Mrinal Kanti Mandal:
Sparse representation based compressive video encryption using hyper-chaos and DNA coding. Digit. Signal Process. 117: 103143 (2021) - [j15]Prasenjit Mukherjee, Atanu Chattopadhyay, Baisakhi Chakraborty, Debashis Nandi:
Natural language query handling using extended knowledge provider system. Int. J. Knowl. Based Intell. Eng. Syst. 25(1): 1-19 (2021) - [j14]Deepanwita Das, Srabani Mukhopadhyaya, Debashis Nandi:
Swarm-based painting of an area cluttered with obstacles. Int. J. Parallel Emergent Distributed Syst. 36(4): 359-379 (2021) - [j13]Falguni Chakraborty, Provas Kumar Roy, Debashis Nandi:
A novel chaotic symbiotic organisms search optimization in multilevel image segmentation. Soft Comput. 25(10): 6973-6998 (2021) - [j12]Dipannita Ghosh, Amish Kumar, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi:
Filtering Super-Resolution Scan Conversion of Medical Ultrasound Frames. Wirel. Pers. Commun. 116(1): 883-905 (2021) - 2020
- [j11]Amish Kumar, Neha Upadhyay, Palash Ghosal, Tamal Chowdhury, Dipayan Das, Amritendu Mukherjee, Debashis Nandi:
CSNet: A new DeepNet framework for ischemic stroke lesion segmentation. Comput. Methods Programs Biomed. 193: 105524 (2020) - [j10]Manas Sarkar, Priyanka Rakshit Sarkar, Ujjwal Mondal, Debashis Nandi:
Empirical wavelet transform-based fog removal via dark channel prior. IET Image Process. 14(6): 1170-1179 (2020) - [j9]Falguni Chakraborty, Provas Kumar Roy, Debashis Nandi:
Elephant Herding Optimization for Multi-Level Image Thresholding. Int. J. Appl. Metaheuristic Comput. 11(4): 64-90 (2020) - [j8]Falguni Chakraborty, Provas Kumar Roy, Debashis Nandi:
Symbiotic Organisms Search Optimization for Multilevel Image Thresholding. Int. J. Swarm Intell. Res. 11(2): 31-61 (2020) - [j7]Jayashree Karmakar, Debashis Nandi, Mrinal Kanti Mandal:
A novel hyper-chaotic image encryption with sparse-representation based compression. Multim. Tools Appl. 79(37-38): 28277-28300 (2020)
2010 – 2019
- 2019
- [j6]Falguni Chakraborty, Debashis Nandi, Provas Kumar Roy:
Oppositional symbiotic organisms search optimization for multilevel thresholding of color image. Appl. Soft Comput. 82 (2019) - [j5]Falguni Chakraborty, Provas Kumar Roy, Debashis Nandi:
Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding. Evol. Intell. 12(3): 445-467 (2019) - [j4]Debashis Nandi, Jayashree Karmakar, Amish Kumar, Mrinal Kanti Mandal:
Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features. IET Image Process. 13(4): 663-672 (2019) - [c7]Sachin Agarwal, Prasenjit Mukherjee, Baisakhi Chakraborty, Debashis Nandi:
A Novel Automated Financial Transaction System Using Natural Language Processing. AMLTA 2019: 535-545 - [c6]Amish Kumar, Oduri Narayana Murthy, Shrish, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi:
A Dense U-Net Architecture for Multiple Sclerosis Lesion Segmentation. TENCON 2019: 662-667 - [c5]Palash Ghosal, Shanmukha Reddy, Charan Sai, Vikas Pandey, Jayasree Chakraborty, Debashis Nandi:
A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images. TENCON 2019: 1065-1070 - 2018
- [c4]Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sudipta Mukhopadhyay, Mandeep Garg, Niranjan Khandelwal, Naveen Kalra:
Localization of lung fields in HRCT images using a deep convolution neural network. Computer-Aided Diagnosis 2018: 1057535 - [c3]Sunita Agarwala, Abhishek Kumar, Debashis Nandi, Ashis Kumar Dhara, Anup K. Sadhu, Sumitra Basu Thakur, Ashok Kumar Bhadra:
Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images. MIUA 2018: 12-22 - [c2]Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sumitra Basu Thakur, Ashok Kumar Bhadra, Anup K. Sadhu:
Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks. MIUA 2018: 84-93 - 2016
- [j3]Susanta Dutta, Provas Kumar Roy, Debashis Nandi:
Quasi Oppositional Teaching-Learning based Optimization for Optimal Power Flow Incorporating FACTS. Int. J. Energy Optim. Eng. 5(2): 64-84 (2016) - [j2]Susanta Dutta, Provas Kumar Roy, Debashis Nandi:
Optimal Allocation of Static Synchronous Series Compensator Controllers using Chemical Reaction Optimization for Reactive Power Dispatch. Int. J. Energy Optim. Eng. 5(3): 43-62 (2016) - 2014
- [j1]Susanta Dutta, Provas Kumar Roy, Debashis Nandi:
Artificial Bee Colony Optimization for Optimal Reactive Power Dispatch Incorporating FACTS Devices. Int. J. Energy Optim. Eng. 3(2): 38-58 (2014) - [c1]Narayan Murmu, Debashis Nandi:
Low cost distance estimation system using low resolution single camera and high radius convex mirrors. ICACCI 2014: 998-1003
Coauthor Index
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