| Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study SR Nayak, DR Nayak, U Sinha, V Arora, RB Pachori Biomedical Signal Processing and Control 64, 102365, 2021 | 340 | 2021 |
| Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests DR Nayak, R Dash, B Majhi Neurocomputing 177, 188-197, 2016 | 268 | 2016 |
| COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis SH Wang, DR Nayak, DS Guttery, X Zhang, YD Zhang Information Fusion 68, 131-148, 2021 | 204 | 2021 |
| A survey on rainfall prediction using artificial neural network DR Nayak, A Mahapatra, P Mishra International journal of computer applications 72 (16), 2013 | 190 | 2013 |
| Detection of unilateral hearing loss by Stationary Wavelet Entropy Y Zhang, D Ranjan Nayak, M Yang, TF Yuan, B Liu, H Lu, S Wang CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017 | 65 | 2017 |
| Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection DR Nayak, R Dash, B Majhi Neurocomputing 282, 232-247, 2018 | 63 | 2018 |
| Automated diagnosis of multi-class brain abnormalities using MRI images: a deep convolutional neural network based method DR Nayak, R Dash, B Majhi Pattern Recognition Letters 138, 385-391, 2020 | 56 | 2020 |
| Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach DR Nayak, R Dash, B Majhi, V Prasad Expert Systems with Applications 88, 152-164, 2017 | 56 | 2017 |
| Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain DR Nayak, R Dash, B Majhi, S Wang Computers & Electrical Engineering 68, 366-380, 2018 | 51 | 2018 |
| A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer DR Nayak, R Dash, B Majhi, RB Pachori, Y Zhang Biomedical Signal Processing and Control 58, 101860, 2020 | 44 | 2020 |
| ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images DR Nayak, D Das, B Majhi, SV Bhandary, UR Acharya Biomedical Signal Processing and Control 67, 102559, 2021 | 43 | 2021 |
| Stationary wavelet transform and AdaBoost with SVM based pathological brain detection in MRI scanning D Ranjan Nayak, R Dash, B Majhi CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017 | 43 | 2017 |
| Pathological brain detection using curvelet features and least squares SVM DR Nayak, R Dash, B Majhi Multimedia Tools and Applications, 1-24, 2016 | 42 | 2016 |
| An empirical evaluation of extreme learning machine: application to handwritten character recognition D Das, DR Nayak, R Dash, B Majhi Multimedia Tools and Applications 78, 19495-19523, 2019 | 41 | 2019 |
| Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images DR Nayak, D Das, R Dash, S Majhi, B Majhi Multimedia Tools and Applications 79, 15381-15396, 2020 | 40 | 2020 |
| Hyperspectral image classification: A k-means clustering based approach S Ranjan, DR Nayak, KS Kumar, R Dash, B Majhi 2017 4th International Conference on Advanced Computing and Communication …, 2017 | 38 | 2017 |
| A cellular automata based optimal edge detection technique using twenty-five neighborhood model DR Nayak, SK Sahu, J Mohammed arXiv preprint arXiv:1402.1348, 2014 | 35 | 2014 |
| Classification of brain MR images using discrete wavelet transform and random forests DR Nayak, R Dash, B Majhi 2015 Fifth National Conference on Computer Vision, Pattern Recognition …, 2015 | 32 | 2015 |
| Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization YD Zhang, DR Nayak, X Zhang, SH Wang Journal of Ambient Intelligence and Humanized Computing, 1-18, 2020 | 28 | 2020 |
| Automated diagnosis of pathological brain using fast curvelet entropy features DR Nayak, R Dash, X Chang, B Majhi, S Bakshi IEEE Transactions on Sustainable Computing 5 (3), 416-427, 2020 | 27 | 2020 |
Prof. Banshidhar MajhiVice-Chancellor, VSSUT Burla, Odisha, On Lien, Computer Science and Engineering, NIT RourkelaVerified email at nitrkl.ac.in
