B. Dhananjay, P. K. Rajnala, B. C. Neelapu, K. Pal, and S.,"A Q-transform-based deep learning model for the classification of atrial fibrillation types", Physical and Engineering Sciences in Medicine, Springer, February 2024, 10.1007/s13246-024-01391-3       Article

P. V. N, P. Kumar, B. C. Neelapu, K. Pal, and S.,"Can atrial lead system ameliorate the diagnosis of atrial arrhythmias?", Medical Hypotheses, Elsevier, March 2024, 10.1016/j.mehy.2024.111280       Article

K. K. Patro, J. P. Allam, B. C. Neelapu, R. Tadeusiewicz, U. R. Acharya, M. Hammad, O. Yildirim, and P. Plawiak,"Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images", Information Sciences, Elsevier 2023, 10.1016/j.ins.2023.119005       Article

B. Dhananjay, B. C. Neelapu, K. Pal, and S.,"Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation", Biomedical Engineering/Biomedizinische Technik, De Gruyter, March 2023, 10.1515/bmt-2022-0430       Article

B. K. Pradhan, B. C. Neelapu, S., D. Kim, and K. Pal,"A review on the applications of time-frequency methods in ECG analysis", Journal of Healthcare Engineering, Hindawi, February 2023, 10.1155/2023/3145483       Article

A. Bhardwaj, B. Dhananjay, P. V. N, D. Chowdhury, R. P. Kumar, K. Pal, S., and B. C. Neelapu,"A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using electrocardiogram: a systematic review and meta-analysis", Archives of Computational Methods in Engineering, Springer, April 2023, 10.1007/s11831-023-09935-8       Article

D. Chowdhury, B. C. Neelapu, K. Pal, and S.,"Machine learning-based classification of ischemic and non-ischemic exercise stress test ECG", in Computing in Cardiology 2022, vol.49, IEEE, March 2023, 10.22489/CinC.2022.276       Inproceedings

R. Bandyopadhyay, B. C. Neelapu, K. Pal, and S.,"Examining R peak changes in ischemic condition using random forest classifier under stress test ECG", in 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp.82-86, IEEE, Noida, India, May 2023, 10.1109/SPIN57001.2023.10117129       Inproceedings

N. P. Venkatesh, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"CatBoost-based improved detection of P-wave changes in sinus rhythm and tachycardia conditions: a lead selection study", Physical and Engineering Sciences in Medicine, vol.46, pp.925-944, Springer, May 2023, 10.1007/s13246-023-01274-z       Article

C. Kurade, M. Meenu, S. Kalra, A. Miglani, B. C. Neelapu, Y. Yu, and H. S. Ramaswamy,"An automated image processing module for quality evaluation of milled rice", Foods, vol.12, MDPI, March 2023, 10.3390/foods12061273       Article