D. Nayak

发表

Detection of Unilateral Hearing Loss by Stationary Wavelet Entropy.

B. Liu, Yudong Zhang, Shuihua Wang, 2017, CNS & neurological disorders drug targets.

MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection

Yudong Zhang, Deepak Ranjan Nayak, Dibya Sundar Das, 2019, Appl. Soft Comput..

Effect of ethanolic extract of Cyanotis cristata leaves applied topically on wound healing in wistar rats

D. Nayak, Manjunath Shetty, Smita Shenoy, 2017 .

Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2016, Neurocomputing.

Letterer-Siwe disease with bilateral temporal bone involvement.

D. Nayak, R. Balakrishnan, K. Murty, 1997, American Journal of Otolaryngology.

Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning.

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, CNS & neurological disorders drug targets.

Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Expert Syst. Appl..

KTP-532 laser cordotomy for bilateral abductor paralysis

D. Nayak, P. Hazarika, K. Pujary, 2002, Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India.

Endoscopic lateralisation of the vocal cords in bilateral

D. Nayak, R. Balakrishnan, K. Murty, 1995 .

Areca catechu: Effect of topical ethanolic extract on burn wound healing in albino rats

D. Nayak, D. Verma, Ravindrasingh Rajput, 2012 .

Widely infiltrating epithelioid malignant peripheral nerve sheath tumour of skull base.

D. Nayak, L. Rao, Srilatha Parampalli Srinivas, 2013, The Malaysian journal of medical sciences : MJMS.

Foreign body in the ethmoid sinus.

D. Nayak, P. Hazarika, R. Balakrishnan, 1994, International journal of oral and maxillofacial surgery.

Fourth branchial pouch sinus: a case report.

D. Nayak, P. Hazarika, K. Pujary, 2001, American journal of otolaryngology.

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

Ram Bilas Pachori, Deepak Ranjan Nayak, Vaibhav Arora, 2020, Biomedical Signal Processing and Control.

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis

Deepak Ranjan Nayak, Yu-Dong Zhang, David S. Guttery, 2020, Information Fusion.

Dual ectopic thyroid: a report of two cases

D. Nayak, S. A. Siddiqui, P. Hazarika, 1998, The Journal of Laryngology & Otology.

Sinonasal - Type Hemangiopericytoma of Nasal Cavity: A Rare Neoplasm- Case Report with a Brief Review of Literature

D. Nayak, Swati Sharma, R. Kudva, 2014 .

RESEARCH AND REVIEWS: JOURNAL OF MEDICAL AND HEALTH SCIENCES Sinonasal - Type Hemangiopericytoma of Nasal Cavity: A Rare Neoplasm- Case Report with a Brief Review of Literature.

D. Nayak, Swati Sharma, R. Kudva, 2014 .

COMPARATIVE OUTCOME OF TEMPORAL FASCIA AND TRAGAL CARTILAGE GRAFT IN TYPE 1 TYMPANOPLASTY

D. Nayak, Ankur Kaur Shergill, Gurshinderpal Singh Shergill, 2016 .

Low-grade adenocarcinoma of endolymphatic sac origin.

D. Nayak, M. Valiathan, S. Malhotra, 2006, American journal of otolaryngology.

Gray-Level Co-occurrence Matrix and Random Forest Based Off-line Odia Handwritten Character Recognition

Deepak Ranjan Nayak, Abhisek Sethy, Prashanta Kumar Patra, 2019, Recent Patents on Engineering.

An empirical evaluation of extreme learning machine: application to handwritten character recognition

Ratnakar Dash, Deepak Ranjan Nayak, Dibyasundar Das, 2019, Multimedia Tools and Applications.

BRITISH BIOMEDICAL BULLETIN

D. Nayak, S. Belurkar, Anna Joseph Amprayil, 2014 .

Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020, Pattern Recognit. Lett..

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain

Shuihua Wang, Banshidhar Majhi, Ratnakar Dash, 2018, Comput. Electr. Eng..

A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model pdf

Jahangir Mohammed, Deepak Ranjan Nayak, Sumit Kumar Sahu, 2013, ArXiv.

Ethanolic Extract of Oral Areca catechu Promotes Burn Wound Healing in Rats

D. Nayak, V. Shanbhag, A. Amuthan, 2014 .

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer

Ram Bilas Pachori, Banshidhar Majhi, Deepak Ranjan Nayak, 2020, Biomed. Signal Process. Control..

Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features

Xiaojun Chang, Sambit Bakshi, Banshidhar Majhi, 2020, IEEE Transactions on Sustainable Computing.

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images

Sulatha V. Bhandary, Banshidhar Majhi, Deepak Ranjan Nayak, 2021, Biomed. Signal Process. Control..

Hyperspectral image classification: A k-means clustering based approach

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS).

Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Neurocomputing.

Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization

Yudong Zhang, Xin Zhang, Yudong Zhang, 2020 .

Patch‐based local deep feature extraction for automated skin cancer classification

Himanshu K. Gajera, D. Nayak, M. Zaveri, 2022, Int. J. Imaging Syst. Technol..

Osteogenic sarcoma of sphenoid bone: an extended lateral skull base approach

D. Nayak, P. Hazarika, J. Sahota, 1995, The Journal of Laryngology & Otology.

A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks

Deepak Ranjan Nayak, Yu-Dong Zhang, Shui-Hua Wang, 2021, Appl. Soft Comput..

Salt and Pepper Noise Reduction Schemes Using Cellular Automata

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2016 .

A Survey on Rainfall Prediction using Artificial Neural Network

Deepak Ranjan Nayak, Amitav Mahapatra, Pranati Mishra, 2013 .

A feature-level fusion based improved multimodal biometric recognition system using ear and profile face

Banshidhar Majhi, Madhumita Panda, Deepak Ranjan Nayak, 2021, Journal of Ambient Intelligence and Humanized Computing.

A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition

Deepak Ranjan Nayak, Korra Sathya Babu, Nikunja Bihari Kar, 2021, IET Image Process..

An improved extreme learning machine for pathological brain detection

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.

Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities

U Rajendra Acharya, Banshidhar Majhi, Deepak Ranjan Nayak, 2019, Comput. Medical Imaging Graph..

Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform

B. Majhi, D. Nayak, Ratnakar Dash, 2018, Multimedia tools and applications.

An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2017, Journal of Medical Systems.

MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020, Multimedia Tools and Applications.

Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2019, Multimedia Tools and Applications.

Automated Detection of Brain Abnormalities Using Multi-Directional Features and Randomized Learning

Banshidhar Majhi, Deepak Ranjan Nayak, Ratnakar Dash, 2020 .

Pathological brain detection using curvelet features and least squares SVM

B. Majhi, D. Nayak, Ratnakar Dash, 2018, Multimedia Tools and Applications.

Non-linear cellular automata based edge detector for optical character images

Banshidhar Majhi, Jahangir Mohammed, Ratnakar Dash, 2016, Simul..

Classification of brain MR images using discrete wavelet transform and random forests

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2015, 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

Least squares SVM approach for abnormal brain detection in MRI using multiresolution analysis

Banshidhar Majhi, Ratnakar Dash, Deepak Ranjan Nayak, 2015, 2015 International Conference on Computing, Communication and Security (ICCCS).

Rosai-Dorfman disease of the subglottis

D. Nayak, P. Hazarika, R. Balakrishnan, 2000, The Journal of Laryngology & Otology.

H-WordNet: a holistic convolutional neural network approach for handwritten word recognition

Yudong Zhang, Banshidhar Majhi, Deepak Ranjan Nayak, 2020, IET Image Process..

Pure Erythroleukemia: A Case Report And Literature Review

S. Seshadri, D. Nayak, C. Manohar, 2010 .

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis

D. Nayak, Shuihua Wang, Xin Zhang, 2020, Information Fusion.

Biomedical Signal Processing and Control

R. B. Pachori, D. Nayak, S. Nayak, 2022 .