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

C. P. Raju, A. M. Kirupakaran, B. C. Neelapu, and R. H. Laskar,"Ischemic Stroke Lesion Segmentation in CT Perfusion Images Using U-Net with Group Convolutions", in Computer Vision and Image Processing, pp.276-288, Springer, 7th International Conference, CVIP 2022, Nagpur, India, November 4–6, 2022, Revised Selected Papers, Part I, May 2023, 10.1007/978-3-031-31407-0_21       Inproceedings

K. U. Rani, A. J. Prakash, K. K. Patro, B. C. Neelapu, R. Tadeusiewicz, and P. Plawiak,"Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea", International Journal of Applied Mathematics and Computer Science, vol.33, no.3, pp.493-506, September 2023, 10.34768/amcs-2023-0036       Article

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 2023 10th International Conference on Signal Processing and Integrated Networks, pp.82-86, IEEE, The most common clinical criteria for electrocardiographic diagnosis of myocardial ischemia include ST segment changes but not the QRS morphology. This study aimed to interpret the variations in the amplitude of the R wave that might be helpful in better diagnosis of ischemia during stress testing a, March 2023, 10.1109/SPIN57001.2023.10117129.       Inproceedings

P. V. N, R. P. Kumar, B. C. Neelapu, K. Pal, and S.,"Atrial features-based prediction of sinus tachycardia using LSTM-RNN model", in Computing in Cardiology, IEEE, December 2023, 10.22489/CinC.2023.163       Inproceedings

P. V. N, P. Kumar, B. C. Neelapu, K. Pal, and S.,"Atrial features-based prediction of sinus tachycardia using LSTM-RNN model", in Computing in Cardiology, IEEE, December 2023, 10.22489/CinC.2023.163       Inproceedings