1. A. M. Harale, V. K. Bairagi, E. Boonchieng and M. R. Bachute, "Nodules Detection in Lungs CT Images Using Improved YOLOV5 and Classification of Types of Nodules by CNN-SVM," in IEEE Access, vol. 12, pp. 140456-140471, Sept. 2024.
2. T Shirsat, V Bairagi, A Buchade, E Boonchieng, “Revolutionizing Grain and Particle Size Measurement in Metals: The Role of Sensor-Assisted Metallographic Image Analysis”, MDPI Sensors, 24(16), 5328, July 2024 (Impact Factor 3.4)
3. Chaudhari A, D Shedge, Vinayak Bairagi, and A Nanthaamornphong. "Replay Attack Detection Using Integrated Glottal Excitation Based Group Delay Function and Cepstral Features", MDPI Symmetry 16, no. 7: 788. June 2024 (Impact Factor 2.2).
4. N. Bhaskar, V. Bairagi, M. V. Munot, K. M. Gaikwad and S. T. Jadhav, “Automated COVID-19 Detection From Exhaled Human Breath Using CNN-CatBoost Ensemble Model”, in IEEE Sensors Letters, vol. 7, no. 10, pp. 1-4, Oct. 2023 (Impact Factor 2.4).
5. N Bhaskar, V K Bairagi, E Boonchieng, M V Munot, “Automated Detection of Diabetes from Exhaled Human Breath using Deep Hybrid Architecture”, IEEE Journal Access vol. 11, pp. 51712-51722, 2023 (Impact Factor 3.47).
6. V K Bairagi, Gumaste, P.P., Rajput, S.H. et al. “Automatic brain tumor detection using CNN transfer learning approach”. Springer Med Biol Eng Comput (2023) (Impact Factor 3.079).
7. V K Bairagi, Sachin Elgandelwar, “Early Diagnosis of Alzheimer Disease using EEG Signals: The Role of Pre-processing”, Inderscience Int. J. Biomedical Engineering and Technology, Vol 41, No 4, pp 317-339. (Impact Factor 0.65).
8. V K Bairagi and V H Harpale, “Improved epileptic seizure detection using singular spectrum empirical mode decomposition and machine learning approach”, Taylor and Francis - Journal of Statistics and Management Systems, 19 May 2021, pp 103-123.
9. V K Bairagi and A. Kanwade, “Classification of Chronic Obstructive Pulmonary Disease (COPD) Using Electromyography”, Springer Sadhana- Academy Proceedings in Engineering Science, Vol 45, No 1, May 2020, pp 1-17. (Impact Factor 1.87).
10. Sachin Elgandelwar, Vinayak Bairagi, “Power Analysis of EEG Bands for Diagnosis of Alzheimer Disease”, Inderscience Int. J. International Journal of Medical Engineering and Informatics, Vol 13, No 5, pp 376-385, Sept 2021. (Impact Factor 1.23).
11. V K Bairagi and A. Kanwade, “Novel Slope Based Onset Detection Algorithm for Electromyographical signals”, Inderscience Int. J. Biomedical Engineering and Technology, Vol 36, No 4, Aug 2021, pp 311-317. (Impact Factor 0.65).
12. V K Bairagi, “EEG signal analysis for early diagnosis of Alzheimer disease using spectral and wavelet based features”, Springer International Journal of Information Technology, September 2018, Vol 10, Issue 3, pp 403–412.
13. V. Harpale and V K Bairagi, “An Adaptive Method for Feature Selection and Extraction for Classification of Epileptic Brain Signal in Significant States”, Elsevier Journal of King Saud University – Computer and Information Sciences July 2021, Vol 33, No 6, pp 668-676.
14. A. Kanwade and V K Bairagi, “Classification of COPD and normal lung airways using feature extraction of EMG signals”, Elsevier Journal of King Saud University – Computer and Information Sciences. Vol. 5, no. 6, pp. 94-106, 2019.
15. N. N. Kulkarni and V. K. Bairagi, “Extracting Salient Features for EEG based Diagnosis of Alzheimer Disease Using Support Vector Machine Classifier”, Taylor and Francis - IETE Journal of Research , Vol 63, No 1, pp 11-22, Jan 2017. (Impact Factor 0.909)
16. V K Bairagi, K C Charpe, “Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite”, Hindawi International Journal of Biomedical Imaging, Vol 16, May 2016, pp1-9.
17. V K Bairagi, “Symmetry Based Biomedical Image Compression”, Springer Journal of Digital Imaging. , Vol 28, No 6, pp 718-726, Dec 2015 (Impact Factor 1.5)
18. V K Bairagi, A M Sapkal, M S Gaikwad, “The Role of Transforms in Image Compression”, Springer Journal of Institute of Engineers (India), Series B., Vol 94, No 2, June 2013. pp 135-140.
19. V K Bairagi, A M Sapkal , “Texture Based Medical Image Compression”, Springer Journal of Digital Imaging, Vol 20, No 1, pp 65-71, Jan 2013. (Impact Factor 1.5)
20. V K Bairagi, A M Sapkal, “ROI based DICOM Image Compression for Telemedicine”, Springer Sadhana- Academy Proceedings in Engineering Science, Vol 38, No 1,2013, pp 123-131. (Impact Factor 0.259).
21. V K Bairagi, A M Sapkal, “Automated Region Based Hybrid Compression for DICOM MRI Images for Telemedicine Applications”, The IET Science, Measurement & Technology, Vol 6, No 4, July 2012, pp. 247 – 253 (Impact Factor 0.706)