ProteoStats - a library for estimating false discovery rates in proteomics pipelines. - Amit Kumar Yadav; Puneet Kumar Kadimi; Dhirendra Kumar; Debasis Dash (Bioinform., 2013)

Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification. - Dhirendra Kumar; Ramesh Kumar Agrawal (SoCPaR, 2016)

Fuzzy clustering-based feature extraction method for mental task classification. - Akshansh Gupta; Dhirendra Kumar (Brain Informatics, 2017)

Modified Tent Map Based Design for True Random Number Generator. - Dhirendra Kumar; Kasif Nabi; Prasanna Kumar Misra; Manish Goswami (iSES, 2018)

Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. - Muhammad Tanveer 001; Akshansh Gupta; Dhirendra Kumar; Saumya Priyadarshini; Anirban Chakraborti; Rammohan Mallipeddi (SMC, 2018)

Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation. - Dhirendra Kumar; Ramesh Kumar Agrawal; Jyoti Singh Kirar (FUZZ-IEEE, 2019)

A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image. - Dhirendra Kumar; Hanuman Verma; Aparna Mehra; R. K. Agrawal 001 (Multim. Tools Appl., 2019)

A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree. - Hanuman Verma; Akshansh Gupta; Dhirendra Kumar (Pattern Recognit. Lett., 2019)

Opto-Radio Noise based True Random Number Generator. - Dhirendra Kumar; Chaitanya Dnyaneshwar Jadhav; Prasanna Kumar Misra; Manish Goswami (VDAT, 2020)

0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology. - Dhirendra Kumar; Rahul Anand; Sajai Vir Singh; Prasanna Kumar Misra; Ashok Srivastava; Manish Goswami (IET Circuits Devices Syst., 2020)

Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation. - Dhirendra Kumar; R. K. Agrawal 001; Hanuman Verma (Soft Comput., 2020)

Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation. - Puneet Kumar; Dhirendra Kumar; Ramesh Kumar Agrawal (CVIP (2), 2021)

Design of True Random Number Generator Using Fingerprint as an Entropy Source and Its Implementation in S-Box. - Dhirendra Kumar; Utkarsh Kumar Chaurasia; Shreyansh Mishra; Prafull Singh Patel; Prasanna Kumar Misra; Manish Goswami (J. Circuits Syst. Comput., 2021)

Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation. - Puneet Kumar; R. K. Agrawal 001; Dhirendra Kumar (CVMI, 2022)

Design of Hexagonal Oscillator for True Random Number Generation. - Krishan Mehra; Dhirendra Kumar; Kavindra Kandpal; Prasanna Kumar Misra; Manish Goswami (ICECS 2022, 2022)

False discovery rate: the Achilles' heel of proteogenomics. - Suruchi Aggarwal; Anurag Raj; Dhirendra Kumar; Debasis Dash; Amit Kumar Yadav (Briefings Bioinform., 2022)

Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image. - Puneet Kumar; Dhirendra Kumar; Ramesh Kumar Agrawal (Neural Comput. Appl., 2022)

Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation. - Dhirendra Kumar; Inder Khatri; Aaryan Gupta; Rachana Gusain (Soft Comput., 2022)

Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation. - Dhirendra Kumar; R. K. Agrawal 001; Puneet Kumar (IEEE Trans. Fuzzy Syst., 2022)

A W-band Substrate Integrated Waveguide (SIW) Bandpass Filter at 95 GHz for Millimeter Wave Applications. - Aman Dahiya; Dhirendra Kumar (Wirel. Pers. Commun., 2022)

Image Encryption based on Chaotic Map and Fractal Sorting Matrix. - Puneet Kumar Pal; Dhirendra Kumar (SIN, 2023)

Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation. - Puneet Kumar; R. K. Agrawal 001; Dhirendra Kumar (Appl. Soft Comput., 2023)

A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation. - Inder Khatri; Dhirendra Kumar; Aaryan Gupta (Appl. Intell., 2023)

Modified total Bregman divergence driven picture fuzzy clustering with local information for brain MRI image segmentation. - Himanshi Lohit; Dhirendra Kumar (Appl. Soft Comput., 2023)

Probabilistic intuitionistic fuzzy c-means algorithm with spatial constraint for human brain MRI segmentation. - Rinki Solanki; Dhirendra Kumar (Multim. Tools Appl., 2023)

Recognition of multi-cognitive tasks from EEG signals using EMD methods. - Akshansh Gupta; Dhirendra Kumar; Hanuman Verma; Muhammad Tanveer 001; Javier Andreu-Perez; Chin-Teng Lin; Mukesh Prasad (Neural Comput. Appl., 2023)

Bernoulli Map Based Power Efficient True Random Number Generator Using Cascode Current Mirror Topology. - Dhirendra Kumar (ICCCNT, 2024)

A Novel Chaotic Map with High Chaotic Dynamics for Image Encryption Applications. - Puneet Kumar Pal; Dhirendra Kumar (ICCCNT, 2024)

The coupled Kaplan-Yorke-Logistic map for the image encryption applications. - Puneet Kumar Pal; Dhirendra Kumar (Comput. Electr. Eng., 2024)

Secure chaotic image encryption method using random graph traversal and three step diffusion. - Varun Agarwal; Dhirendra Kumar (Multim. Tools Appl., 2024)

Efficient image encryption using the Tinkerbell map in conjunction with linear feedback shift registers. - Puneet Kumar Pal; Dhirendra Kumar; Varun Agarwal (Multim. Tools Appl., 2024)

A review of image features extraction techniques and their applications in image forensic. - Dhirendra Kumar; Ramesh Chand Pandey; Ashish Kumar Mishra 001 (Multim. Tools Appl., 2024)

Kernelized weighted local information based picture fuzzy clustering with multivariate coefficient of variation and modified total Bregman divergence measure for brain MRI image segmentation. - Himanshi Lohit; Dhirendra Kumar (Comput. Biol. Medicine, 2025)