| 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 | 442 | 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 | 296 | 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 | 250 | 2021 |
| A survey on rainfall prediction using artificial neural network DR Nayak, A Mahapatra, P Mishra International journal of computer applications 72 (16), 32-40, 2013 | 213 | 2013 |
| A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features HK Gajera, DR Nayak, MA Zaveri Biomedical Signal Processing and Control 79, 104186, 2023 | 104 | 2023 |
| 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 | 72 | 2020 |
| 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 | 70 | 2018 |
| 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 | 69 | 2021 |
| 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 |
| 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 | 61 | 2018 |
| 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 | 61 | 2017 |
| 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 | 59 | 2017 |
| 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 | 57 | 2020 |
| 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 | 52 | 2020 |
| 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-CNS & Neurological Disorders) 16 …, 2017 | 46 | 2017 |
| 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 | 45 | 2019 |
| Pathological brain detection using curvelet features and least squares SVM DR Nayak, R Dash, B Majhi Multimedia Tools and Applications, 1-24, 2016 | 45 | 2016 |
| A feature-level fusion based improved multimodal biometric recognition system using ear and profile face PP Sarangi, DR Nayak, M Panda, B Majhi Journal of Ambient Intelligence and Humanized Computing 13 (4), 1867-1898, 2022 | 41 | 2022 |
| A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks SY Lu, DR Nayak, SH Wang, YD Zhang Applied Soft Computing 109, 107567, 2021 | 40 | 2021 |
| A survey on cancer detection via convolutional neural networks: Current challenges and future directions P Sharma, DR Nayak, BK Balabantaray, M Tanveer, R Nayak Neural Networks 169, 637-659, 2024 | 38 | 2024 |
Prof. Banshidhar MajhiProfessor(HAG), Comp Sc.&Engg. NIT Rourkela, Former Director, IIITDM KP, Former VC, VSSUT BurlaVerifisert e-postadresse på nitrkl.ac.in