An Efficient Dynamic Scheduling Algorithm for Soft Real-Time Tasks in Multiprocessor System Using Hybrid Quantum-Inspired Genetic Algorithm. - Debanjan Konar; Kalpana Sharma; Sri Raj Pradhan; Sital Sharma (FICTA, 2015)

A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising. - Debanjan Konar; Siddhartha Bhattacharyya; Nibaran Das; Bijaya Ketan Panigrahi (ICACCI, 2015)

A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background. - Debanjan Konar; Udit Kr. Chakraborty; Siddhartha Bhattacharyya; Tapan Kumar Gandhi; Bijaya Ketan Panigrahi (ICACCI, 2016)

A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi; Kazumi Nakamatsu (Appl. Soft Comput., 2016)

Intelligent fuzzy spelling evaluator for e-Learning systems. - Udit Kr. Chakraborty; Debanjan Konar; Samir Roy; Sankhayan Choudhury (Educ. Inf. Technol., 2016)

An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system. - Debanjan Konar; Siddhartha Bhattacharyya; Kalpana Sharma; Sital Sharma; Sri Raj Pradhan (Appl. Soft Comput., 2017)

Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering. - Siddhartha Bhattacharyya; Václav Snásel; Alokananda Dey; Sandip Dey; Debanjan Konar (ICACCI, 2018)

QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya Ketan Panigrahi (PReMI (2), 2019)

A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding. - Siddhartha Bhattacharyya; Sandip Dey; Debanjan Konar (TENCON, 2019)

Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Sandip Dey; Bijaya Ketan Panigrahi (TENCON, 2019)

Automatic short answer grading using rough concept clusters. - Udit Kr. Chakraborty; Debanjan Konar; Samir Roy; Sankhayan Choudhury (Int. J. Adv. Intell. Paradigms, 2019)

A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images. - Debanjan Konar; Siddhartha Bhattacharyya; Tapan Kumar Gandhi; Bijaya Ketan Panigrahi (Appl. Soft Comput., 2020)

Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya K. Panigrahi; Elizabeth Behrman (CoRR, 2020)

Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network. - Debanjan Konar; Bijaya K. Panigrahi; Siddhartha Bhattacharyya; Nilanjan Dey; Richard Jiang 001 (IEEE Access, 2021)

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. - Satish Chandra 010; Mahendra Kumar Gourisaria; Harshvardhan GM; Debanjan Konar; Xin Gao 001; Tianyang Wang; Min Xu 009 (IEEE Access, 2022)

Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Sandip Dey; Bijaya Ketan Panigrahi (Appl. Intell., 2022)

Random Quantum Neural Networks (RQNN) for Noisy Image Recognition. - Debanjan Konar; Erol Gelenbe; Soham Bhandary; Aditya Das Sarma; Attila Cangi (CoRR, 2022)

A Scalable 5, 6-Qubit Grover's Quantum Search Algorithm. - Dinesh Reddy Vemula; Debanjan Konar; Sudeep Satheesan; Sri Mounica Kalidasu; Attila Cangi (CoRR, 2022)

Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. - Debanjan Konar; Siddhartha Bhattacharyya; Bijaya K. Panigrahi; Elizabeth C. Behrman (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Spiking Quantum Neural Network for Noisy Image Classification. - Debanjan Konar; Vaneet Aggarwal; Aditya Das Sarma; Soham Bhandary; Siddhratha Bhattacharyya; Attila Cangi (IJCNN, 2023)

Random Quantum Neural Networks for Noisy Image Recognition. - Debanjan Konar; Erol Gelenbe; Soham Bhandary; Aditya Das Sarma; Attila Cangi (QCE, 2023)

A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. - Debanjan Konar; Aditya Das Sarma; Soham Bhandary; Siddhartha Bhattacharyya; Attila Cangi; Vaneet Aggarwal (Appl. Soft Comput., 2023)

Quantum-Enhanced Spiking Neural Networks. - Ria Khatoniar; Debanjan Konar; Vaneet Aggarwal (QCE, 2024)

Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization. - Chrysanthos Maraveas; Debanjan Konar; Dimosthenis K. Michopoulos; Konstantinos G. Arvanitis; Kostas P. Peppas (Comput. Electron. Agric., 2024)

A Bi-directional Quantum Search Algorithm. - Debanjan Konar; Zain Hafeez; Vaneet Aggarwal (CoRR, 2024)

A Scalable Quantum Non-local Neural Network for Image Classification. - Sparsh Gupta; Debanjan Konar; Vaneet Aggarwal (CoRR, 2024)

Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial. - Siddhartha Bhattacharyya; Debashis De; Sergey Gorbachev; Debanjan Konar (Appl. Soft Comput., 2024)

3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images. - Debanjan Konar; Siddhartha Bhattacharyya; Tapan K. Gandhi; Bijaya K. Panigrahi; Richard Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Quantum Face Recognition With Multigate Quantum Convolutional Neural Network. - Yijie Zhu; Ahmed Bouridane; M. Emre Celebi 001; Debanjan Konar; Plamen Angelov 001; Qiang Ni; Richard Jiang 001 (IEEE Trans. Artif. Intell., 2024)

Alz-QNet: A quantum regression network for studying Alzheimer's gene interactions. - Debanjan Konar; Neerav Sreekumar; Richard Jiang 001; Vaneet Aggarwal (Comput. Biol. Medicine, 2025)

Tensor ring optimized quantum-enhanced tensor neural networks. - Debanjan Konar; Dheeraj Peddireddy; Bijaya K. Panigrahi; Vaneet Aggarwal (Quantum Mach. Intell., 2025)