Brain MR Image Segmentation using Tabu Search and Hidden Markov Random Field Model. - Pradipta Kumar Nanda; Dipti Patra; A. Pradhan (IICAI, 2005)

Adaptive Thresholding Based Image Segmentation with Uneven Lighting Condition. - Satya Swaroop Pradhan; Dipti Patra; Pradipta Kumar Nanda (ICIIS, 2008)

An Evolutionary Based Slow and Fast Moving Video Object Detection Scheme Using Compound Markov Random Field Model. - Badri Narayan Subudhi; Pradipta Kumar Nanda (ICVGIP, 2008)

Parallel genetic algorithm based adaptive thresholding for image segmentation under uneven lighting conditions. - Priyadarshi Kanungo; Pradipta Kumar Nanda; Ashish Ghosh (SMC, 2010)

Entropy based region selection for moving object detection. - Badri Narayan Subudhi; Pradipta Kumar Nanda; Ashish Ghosh (Pattern Recognit. Lett., 2011)

A Change Information Based Fast Algorithm for Video Object Detection and Tracking. - Badri Narayan Subudhi; Pradipta Kumar Nanda; Ashish Ghosh (IEEE Trans. Circuits Syst. Video Technol., 2011)

Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms. - Jeetashree Aparajeeta; Pradipta Kumar Nanda; Niva Das (ICAPR, 2015)

Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image. - Jeetashree Aparajeeta; Pradipta Kumar Nanda; Niva Das (Appl. Soft Comput., 2016)

Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection. - Badri Narayan Subudhi; Susmita Ghosh; Pradipta Kumar Nanda; Ashish Ghosh (Multim. Tools Appl., 2017)

Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation. - Jeetashree Aparajeeta; Sasmita Mahakud; Pradipta Kumar Nanda; Niva Das (Expert Syst. Appl., 2018)

Priority Based Adaptive Rate Control in Wireless Sensor Networks: A Difference of Differential Approach. - Subha Kanta Swain; Pradipta Kumar Nanda (IEEE Access, 2019)

Fuzzy granulation and constraint neighbourhood granulation structure for object classification in unevenly illuminated images. - Mamata Wagh; Pradipta Kumar Nanda (Appl. Soft Comput., 2019)

MRF Model-Based Estimation of Camera Parameters and Detection of Underwater Moving Objects. - Susmita Panda; Pradipta Kumar Nanda (Int. J. Cogn. Informatics Nat. Intell., 2020)

Adaptive Queue Management and Traffic Class Priority Based Fairness Rate Control in Wireless Sensor Networks. - Subha Kanta Swain; Pradipta Kumar Nanda (IEEE Access, 2021)

Adjacent LBP and LTP based background modeling with mixed-mode learning for foreground detection. - Subhabrata Acharya; Pradipta Kumar Nanda (Pattern Anal. Appl., 2021)

Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection. - Susmita Panda; Pradipta Kumar Nanda (Soft Comput., 2021)

Decision-Theoretic Rough Sets based automated scheme for object and background classification in unevenly illuminated images. - Mamata Wagh; Pradipta Kumar Nanda (Appl. Soft Comput., 2022)

Noisy multimodal brain image registration using markov random field model. - Sunita Samant; Pradipta Kumar Nanda; Ashish Ghosh; Adya Kinkar Panda (Biomed. Signal Process. Control., 2022)

Adaptive Feature Fusion and Spatio-Temporal Background Modeling in KDE Framework for Object Detection and Shadow Removal. - Subhaluxmi Sahoo; Pradipta Kumar Nanda (IEEE Trans. Circuits Syst. Video Technol., 2022)

KDE-Based Simultaneous Background Model Learning and Entropy-Based Fusion of Cascaded Features for Video Object Segmentation With Shadow Removal. - Subhaluxmi Sahoo; Pradipta Kumar Nanda (IEEE Access, 2023)

Particle filter-based video object tracking using feature fusion in template partitions. - Jyoti Ranjan Panda; Pradipta Kumar Nanda (Vis. Comput., 2023)

Particle Filter-Based Video Object Tracking Scheme With Target Remodeling and Reinitialization and Its Hardware Implementation Using Raspberry Pi. - Jyoti Ranjan Panda; Pradipta Kumar Nanda; Tuhinansu Pradhan (IEEE Access, 2024)

Registration of CT and MR image in multi-resolution framework using embedded entropy and feature fusion. - Sunita Samant; Pradipta Kumar Nanda; Ashish Ghosh; Subhaluxmi Sahoo; Adya Kinkar Panda (Int. J. Comput. Vis. Robotics, 2024)