A Novel Architecture for Embedded Biometric Authentication System. - Deepak Ranjan Nayak (EMS, 2008)

Blind Radial Basis Function Network Equalizer for Digital Communication Channels. - Deepak Ranjan Nayak (EMS, 2009)

An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata. - Jahangir Mohammed; Deepak Ranjan Nayak (CoRR, 2013)

A Survey on Two Dimensional Cellular Automata and Its Application in Image Processing. - Deepak Ranjan Nayak; Prashanta Kumar Patra; Amitav Mahapatra (CoRR, 2014)

A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model. - Deepak Ranjan Nayak; Sumit Kumar Sahu; Jahangir Mohammed (CoRR, 2014)

Classification of brain MR images using discrete wavelet transform and random forests. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (NCVPRIPG, 2015)

Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Neurocomputing, 2016)

Non-linear cellular automata based edge detector for optical character images. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Jahangir Mohammed (Simul., 2016)

Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (ICAPR, 2017)

Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Vijendra Prasad (Expert Syst. Appl., 2017)

SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain. - Deepak Ranjan Nayak; Ratnakar Dash; Zhihai Lu; Siyuan Lu 001; Banshidhar Majhi (RO-MAN, 2018)

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Shuihua Wang (Comput. Electr. Eng., 2018)

Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Neurocomputing, 2018)

An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (J. Medical Syst., 2018)

Pathological brain detection using curvelet features and least squares SVM. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2018)

Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2018)

MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection. - Deepak Ranjan Nayak; Yudong Zhang 001; Dibyasundar Das; Subinita Panda (Appl. Soft Comput., 2019)

Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; U. Rajendra Acharya (Comput. Medical Imaging Graph., 2019)

Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (CoRR, 2019)

An empirical evaluation of extreme learning machine: application to handwritten character recognition. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2019)

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Ram Bilas Pachori; Yudong Zhang 001 (Biomed. Signal Process. Control., 2020)

H-WordNet: a holistic convolutional neural network approach for handwritten word recognition. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi; Yu-Dong Zhang 001 (IET Image Process., 2020)

MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition. - Dibyasundar Das; Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Multim. Tools Appl., 2020)

Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images. - Deepak Ranjan Nayak; Dibyasundar Das; Ratnakar Dash; Snehashis Majhi; Banshidhar Majhi (Multim. Tools Appl., 2020)

Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method. - Deepak Ranjan Nayak; Ratnakar Dash; Banshidhar Majhi (Pattern Recognit. Lett., 2020)

Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. - Deepak Ranjan Nayak; Ratnakar Dash; Xiaojun Chang; Banshidhar Majhi; Sambit Bakshi (IEEE Trans. Sustain. Comput., 2020)

Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features. - Himanshu K. Gajera; Mukesh A. Zaveri; Deepak Ranjan Nayak (AIME, 2021)

Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images. - Snehashis Majhi; Deepak Ranjan Nayak (CVIP (2), 2021)

A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks. - Si-Yuan Lu 001; Deepak Ranjan Nayak; Shui-Hua Wang; Yu-Dong Zhang 001 (Appl. Soft Comput., 2021)

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images. - Deepak Ranjan Nayak; Dibyasundar Das; Banshidhar Majhi; Sulatha V. Bhandary; U. Rajendra Acharya (Biomed. Signal Process. Control., 2021)

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study. - Soumya Ranjan Nayak; Deepak Ranjan Nayak; Utkarsh Sinha; Vaibhav Arora; Ram Bilas Pachori (Biomed. Signal Process. Control., 2021)

A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition. - Nikunja Bihari Kar; Deepak Ranjan Nayak; Korra Sathya Babu; Yu-Dong Zhang 001 (IET Image Process., 2021)

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis. - Shui-Hua Wang; Deepak Ranjan Nayak; David S. Guttery; Xin Zhang 071; Yu-Dong Zhang 001 (Inf. Fusion, 2021)

Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images. - Himanshu K. Gajera; Mukesh A. Zaveri; Deepak Ranjan Nayak (OCIT, 2022)

Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (EMBC, 2022)

CDANet: Channel Split Dual Attention Based CNN for Brain Tumor Classification In Mr Images. - Tapas Kumar Dutta; Deepak Ranjan Nayak (ICIP, 2022)

Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. - Snehashis Majhi; Deepak Ranjan Nayak; Ratnakar Dash; Pankaj Kumar Sa (ICONIP (7), 2022)

GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images. - Amogh Manoj Joshi; Deepak Ranjan Nayak (IJCNN, 2022)

Patch-based local deep feature extraction for automated skin cancer classification. - Himanshu K. Gajera; Mukesh A. Zaveri; Deepak Ranjan Nayak (Int. J. Imaging Syst. Technol., 2022)

A feature-level fusion based improved multimodal biometric recognition system using ear and profile face. - Partha Pratim Sarangi; Deepak Ranjan Nayak; Madhumita Panda; Banshidhar Majhi (J. Ambient Intell. Humaniz. Comput., 2022)

MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images. - Amogh Manoj Joshi; Deepak Ranjan Nayak (IEEE J. Biomed. Health Informatics, 2022)

GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification. - Dipankar Das; Deepak Ranjan Nayak (ICIP, 2023)

A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (Biomed. Signal Process. Control., 2023)

CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images. - Dipankar Das; Deepak Ranjan Nayak; Ram Bilas Pachori (IEEE Trans. Instrum. Meas., 2023)

LiMS-Net: A Lightweight Multi-Scale CNN for COVID-19 Detection from Chest CT Scans. - Amogh Manoj Joshi; Deepak Ranjan Nayak; Dibyasundar Das; Yudong Zhang 001 (ACM Trans. Manag. Inf. Syst., 2023)

M2CE: Multi-convolutional neural network ensemble approach for improved multiclass classification of skin lesion. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (Expert Syst. J. Knowl. Eng., 2023)

MCT-Net: a Lightweight Multiscale Convolutional Transformer Network for Polyp Segmentation. - Niladri Chakraborti; Deepak Ranjan Nayak (ICIP, 2024)

CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification. - Babita; Kadali Sri Akash; M. Sajid; Deepak Ranjan Nayak; Muhammad Tanveer 001 (ICONIP (7), 2024)

LiCT-Net: Lightweight Convolutional Transformer Network for Multiclass Breast Cancer Classification. - Babita; Deepak Ranjan Nayak (TENCON, 2024)

CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images. - Dipankar Das; Deepak Ranjan Nayak; Sulatha V. Bhandary; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

RDTNet: A residual deformable attention based transformer network for breast cancer classification. - Babita; Deepak Ranjan Nayak (Expert Syst. Appl., 2024)

AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images. - Dipankar Das; Deepak Ranjan Nayak; Ram Bilas Pachori (Image Vis. Comput., 2024)

ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images. - Tapas Kumar Dutta; Deepak Ranjan Nayak; Yu-Dong Zhang 001 (Biomed. Signal Process. Control., 2024)

A survey on cancer detection via convolutional neural networks: Current challenges and future directions. - Pallabi Sharma; Deepak Ranjan Nayak; Bunil Kumar Balabantaray; Muhammad Tanveer 001; Rajashree Nayak (Neural Networks, 2024)

FJA-Net: A Fuzzy Joint Attention Guided Network for Classification of Glaucoma Stages. - Dipankar Das; Deepak Ranjan Nayak (IEEE Trans. Fuzzy Syst., 2024)

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation. - Tapas Kumar Dutta; Snehashis Majhi; Deepak Ranjan Nayak; Debesh Jha (WACV, 2025)

WMCF-Net: Wavelet pooling-based multiscale contextual fusion network for polyp classification. - Shreerudra Pratik; Pallabi Sharma; Deepak Ranjan Nayak; Bunil Kumar Balabantaray (Biomed. Signal Process. Control., 2025)

MTA-Net: Multi-scale triplet attention-aware network for multiclass skin lesion classification. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (Comput. Biol. Medicine, 2025)

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation. - Tapas Kumar Dutta; Snehashis Majhi; Deepak Ranjan Nayak; Debesh Jha (CoRR, 2025)