S. K. Ladi, G. K. Panda, R. Dash, P. K. Ladi, and R. Dhupar,"A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification", Multimedia Tools and Application, Springer 2022, https://doi.org/10.1007/s11042-022-12628-2       Article

P. K. Ladi, Mg. Kakita, R. Dash, and S. K. Ladi,"SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction", Neural Computing and Applications, Springer, June 2022, https://doi.org/10.1007/s00521-022-07440-w       Article

D. Muduli, R. Dash, and B. Majhi,"Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach", Biomedical Signal Processing and Control, vol.71, Elsevier, January 2022, https://doi.org/10.1016/j.bspc.2021.102825       Article

S. R. Sahoo, R. Dash, and R. K. Mohapatra,"A customized deep learning framework for skin lesion classification using dermoscopic images", computer animation and virtual worlds, pp.e2132, Wiley Online Library 2022, 10.1002/cav.2132       Article

S. and R. Dash,"Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing", Computers & Geosciences, vol.154, no.104806, pp.1-12, Elsevier, May 2021, 10.1016/j.cageo.2021.104806       Article

S. Majhi, R. Dash, and P. K. Sa,"Weakly-supervised joint anomaly detection and classification", in International Conference on Automatic Face and Gesture Recognition, IEEE, fg-2021, Jodhpur, India 2021, 10.1109/FG52635.2021.9667006       Inproceedings

D. Muduli, R. Dash, and B. Majhi,"fast discrete curvelet transform and modified pso based improved evolutionary extreme learning machine for breast cancer detection", biomedical signal processing and control, vol.70, pp.102919, Elsevier 2021, https://doi.org/10.1016/j.bspc.2021.102919       Article

P. Sikakollu and R. Dash,"Ensemble of multiple cnn classifiers for hsi classification with superpixel smoothing", Computers & Geosciences, vol.154, pp.104806, Elsevier 2021, https://doi.org/10.1016/j.cageo.2021.104806       Article

D. R. Nayak, R. Dash, B. Majhi, Ram. B. Pachori, and . Yudongzhang,"A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer", Biomedical Signal Processing and Control, vol.58, Elsevier, April 2020, https://doi.org/10.1016/j.bspc.2020.101860       Article

D. Muduli, R. Dash, and B. Majhi,"Automated Breast Cancer Detection in Digital Mammograms: A Moth Flame Optimization based ELM Approach", Biomedical Signal Processing and Control, vol.59, Elsevier, May 2020, https://doi.org/10.1016/j.bspc.2020.101912       Article