Deepak Ranjan Nayak

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 45

Top Topics

Cancer Classification

Top Venues

Biomed. Signal Process. Control.

Multim. Tools Appl.

Publications

Dipankar Das, Deepak Ranjan Nayak, Sulatha V. Bhandary, U. Rajendra Acharya
CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images. Eng. Appl. Artif. Intell. 133 (2024)
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images. Image Vis. Comput. 146 (2024)
Tapas Kumar Dutta, Deepak Ranjan Nayak, Yu-Dong Zhang
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images. Biomed. Signal Process. Control. 87 (Part A) (2024)
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, Muhammad Tanveer, Rajashree Nayak
A survey on cancer detection via convolutional neural networks: Current challenges and future directions. Neural Networks 169 (2024)
Babita, Deepak Ranjan Nayak
RDTNet: A residual deformable attention based transformer network for breast cancer classification. Expert Syst. Appl. 249 (2024)
Dipankar Das, Deepak Ranjan Nayak
GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification. ICIP (2023)
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images. IEEE Trans. Instrum. Meas. 72 (2023)
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
CE: Multi-convolutional neural network ensemble approach for improved multiclass classification of skin lesion. Expert Syst. J. Knowl. Eng. 40 (10) (2023)
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features. Biomed. Signal Process. Control. 79 (Part) (2023)
Amogh Manoj Joshi, Deepak Ranjan Nayak, Dibyasundar Das, Yudong Zhang
LiMS-Net: A Lightweight Multi-Scale CNN for COVID-19 Detection from Chest CT Scans. ACM Trans. Manag. Inf. Syst. 14 (1) (2023)
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification. EMBC (2022)
Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak
Patch-based local deep feature extraction for automated skin cancer classification. Int. J. Imaging Syst. Technol. 32 (5) (2022)
Partha Pratim Sarangi, Deepak Ranjan Nayak, Madhumita Panda, Banshidhar Majhi
A feature-level fusion based improved multimodal biometric recognition system using ear and profile face. J. Ambient Intell. Humaniz. Comput. 13 (4) (2022)
Tapas Kumar Dutta, Deepak Ranjan Nayak
CDANet: Channel Split Dual Attention Based CNN for Brain Tumor Classification In Mr Images. ICIP (2022)
Amogh Manoj Joshi, Deepak Ranjan Nayak
MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak
Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images. OCIT (2022)
Amogh Manoj Joshi, Deepak Ranjan Nayak
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images. IJCNN (2022)
Snehashis Majhi, Deepak Ranjan Nayak, Ratnakar Dash, Pankaj Kumar Sa
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. ICONIP (7) (2022)
Si-Yuan Lu, Deepak Ranjan Nayak, Shui-Hua Wang, Yu-Dong Zhang
A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks. Appl. Soft Comput. 109 (2021)
Nikunja Bihari Kar, Deepak Ranjan Nayak, Korra Sathya Babu, Yu-Dong Zhang
A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition. IET Image Process. 15 (7) (2021)
Snehashis Majhi, Deepak Ranjan Nayak
Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images. CVIP (2) (2021)
Himanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak
Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features. AIME (2021)
Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, Ram Bilas Pachori
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study. Biomed. Signal Process. Control. 64 (2021)
Shui-Hua Wang, Deepak Ranjan Nayak, David S. Guttery, Xin Zhang, Yu-Dong Zhang
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis. Inf. Fusion 68 (2021)
Deepak Ranjan Nayak, Dibyasundar Das, Banshidhar Majhi, Sulatha V. Bhandary, U. Rajendra Acharya
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images. Biomed. Signal Process. Control. 67 (2021)
Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, Snehashis Majhi, Banshidhar Majhi
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images. Multim. Tools Appl. 79 (21-22) (2020)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition. Multim. Tools Appl. 79 (43-44) (2020)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Ram Bilas Pachori, Yudong Zhang
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer. Biomed. Signal Process. Control. 58 (2020)
Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, Sambit Bakshi
Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. IEEE Trans. Sustain. Comput. 5 (3) (2020)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Yu-Dong Zhang
H-WordNet: a holistic convolutional neural network approach for handwritten word recognition. IET Image Process. 14 (9) (2020)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method. Pattern Recognit. Lett. 138 (2020)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine. CoRR (2019)
Deepak Ranjan Nayak, Yudong Zhang, Dibyasundar Das, Subinita Panda
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection. Appl. Soft Comput. 83 (2019)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, U. Rajendra Acharya
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities. Comput. Medical Imaging Graph. 77 (2019)
Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
An empirical evaluation of extreme learning machine: application to handwritten character recognition. Multim. Tools Appl. 78 (14) (2019)
Deepak Ranjan Nayak, Ratnakar Dash, Zhihai Lu, Siyuan Lu, Banshidhar Majhi
SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain. RO-MAN (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine. J. Medical Syst. 42 (1) (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Shuihua Wang
Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain. Comput. Electr. Eng. 68 (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform. Multim. Tools Appl. 77 (17) (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Pathological brain detection using curvelet features and least squares SVM. Multim. Tools Appl. 77 (3) (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection. Neurocomputing 282 (2018)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm. ICAPR (2017)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Vijendra Prasad
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach. Expert Syst. Appl. 88 (2017)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests. Neurocomputing 177 (2016)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Jahangir Mohammed
Non-linear cellular automata based edge detector for optical character images. Simul. 92 (9) (2016)
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Classification of brain MR images using discrete wavelet transform and random forests. NCVPRIPG (2015)
Deepak Ranjan Nayak, Prashanta Kumar Patra, Amitav Mahapatra
A Survey on Two Dimensional Cellular Automata and Its Application in Image Processing. CoRR (2014)
Deepak Ranjan Nayak, Sumit Kumar Sahu, Jahangir Mohammed
A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model. CoRR (2014)
Jahangir Mohammed, Deepak Ranjan Nayak
An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata. CoRR (2013)
Deepak Ranjan Nayak
Blind Radial Basis Function Network Equalizer for Digital Communication Channels. EMS (2009)
Deepak Ranjan Nayak
A Novel Architecture for Embedded Biometric Authentication System. EMS (2008)