PUBLICATIONS UNDER Q1, Q2, Q3 and Q4
A. Selected Journal Publications:
1) Bhagawati, M., Gupta, S., Paul, S., Mantella, L., Johri, A. M., Laird, J. R., Tiwari, E., Khanna, N. N., Nicolaides, A., Singh, R., Al-Maini, M., Saba, L., & Suri, J. S. (2025). Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification. Biomedical Signal Processing and Control, 108, 107824. [I.F: 4.9] https://doi.org/10.1016/j.bspc.2025.107824 [Q1]
2) Kumari, V., Katiyar, A., Bhagawati, M., Maindarkar, M., Gupta, S., Paul, S., Chhabra, T., Boi, A., Tiwari, E., Rathore, V., Singh, I. M., Al-Maini, M., Anand, V., Saba, L., & Suri, J. S. (2025). Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in Intravascular Ultrasound: A Narrative Review. Diagnostics, 15(7), 848. [I.F:3.0] https://doi.org/10.3390/diagnostics15070848 [Q2]
3) Khera, P., Das, R., Kumar, N., Pankaj, D., Singh, M., Paul, S., & Mourya, G. K. (2024). Objective gait assessment and quantified recurrence analysis using foot-worn wearable sensor for healthy individuals. Computer Methods in Biomechanics and Biomedical Engineering, 1–17. [I.F: 1.7] https://doi.org/10.1080/10255842.2024.2427113 [Q3]
4) Agarwal, S., Saxena, S., Carriero, A., Chabert, G. L., Ravindran, G., Paul, S., & Suri, J. S. (2024). COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers in Artificial Intelligence, 7, 1304483. [I.F: 3.0] https://doi.org/10.3389/frai.2024.1304483 [Q2]
5) Paul, S., & Jain, S. (2024). A Novel Detection of Cerebrovascular Disease using Multimodal Medical Image Fusion. Recent Advances in Inflammation & Allergy Drug Discovery. [I.F: 1.2] 10.2174/0127722708288426240408042054 [Q2]
6) Bhagawati, M., Paul, S., Mantella, L., Johri, A. M., Laird, J. R., Singh, I. M., & Suri, J. S. (2024). Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort. The International Journal of Cardiovascular Imaging, 1-21. [I.F: 1.5] 10.1007/s10554-024-03100-3 [Q2]
7) Majhi, V., Choudhury, B., Saha, G., & Paul, S. (2023). The Behavioural Analysis of the Dosha Pattern Derived from Associated Current Diseases and Symptoms along with Parkinson`s Disease. Journal of Natural Remedies, 475-485. [I.F: 0.38] https://doi.org/10.18311/jnr/2023/31343 [Q4]
8) Nahar, A., Jain, S., and Paul, S. (2023) Advances in Cerebral Palsy Treatment. Recent Advances in Electrical & Electronic Engineering 2023; 18 (6). [I.F: 7.7] 10.2174/1872212118666230822124440 [Q4]
9) Kumar, A., Aelgani, V., Vohra, R., Gupta, S. K., Bhagawati, M., Paul, S. & Suri, J. S. (2023). Artificial intelligence bias in medical system designs: A systematic review. Multimedia Tools and Applications, 1-53. [I.F: 2.6] https://doi.org/10.1007/s11042-023-16029-x [Q2]
10) Bhagawati, M., Paul, S., Agarwal, S., Protogeron, A., Sfikakis, P. P., Kitas, G. D. & Suri, J. S. (2023). Cardiovascular disease/stroke risk stratification in deep learning framework: a review. Cardiovascular Diagnosis and Therapy, 13(3), 557. [I.F: 2.6] 10.21037/cdt-22-438 [Q3]
11) Jain, S, Paul, S. and Sharma, K. (2023), EEG Brain Signal Processing for Epilepsy Detection, Recent Advances in Electrical & Electronic Engineering; 16 (7). [I.F: 7.7] https://dx.doi.org/10.2174/2352096516666230419102435 [Q4]
12) Saxena, S., Agrawal, A., Dash, P., Jena, B., Khanna, N. N., Paul, S., & Suri, J. S. (2023). Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework in Neural Computing and Applications, 1-17. [I.F.: 5.13] 10.1007/s00521-023-08405-3 [Q1]
13) Majhi, V., Choudhury, B., Saha, G., & Paul, S. (2023). Development of a machine learning-based Parkinson's disease prediction system through Ayurvedic dosha analysis. International Journal of Ayurvedic Medicine, 14(1), 180-189. [I.F.: 6.72] 10.47552/ijam.v14i1.3228 [Q4]
14) Jain, S., & Paul, S. (2023). Design of filters using current amplifiers for removal of noises from ECG signal in Procedia Computer Science, 218, 1888-1904 [I.F.:0.883] https://doi.org/10.1016/j.procs.2023.01.166 [Q2]
15) Avutu, S. R., Paul, S., & Reddy, B. V. (2023). A review on wheelchair and add-in devices design for the disabled. In International Journal of Biomedical Engineering and Technology, 41(1), 35-59 [I.F.: 1.38] https://doi.org/10.1504/IJBET.2023.128512 [Q4]
16) Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu. (2022) UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic look at UNet Components buffered with Pruning, Explainable Artificial Intelligence, and Bias, in IEEE Access. [I.F.: 3.476] https://doi.org/10.1109/ACCESS.2022.3232561 [Q2]
17) Khanna NN, Maindarkar MA, Viswanathan V, Fernandes JFE, Paul S, Bhagawati M, Ahluwalia P, Ruzsa Z, Sharma A, Kolluri R, Singh IM, Laird JR, Fatemi M, Alizad A, Saba L, Agarwal V, Sharma A, Teji JS, Al-Maini M, Rathore V, Naidu S, Liblik K, Johri AM, Turk M, Mohanty L, Sobel DW, Miner M, Viskovic K, Tsoulfas G, Protogerou AD, Kitas GD, Fouda MM, Chaturvedi S, Kalra MK, Suri JS. (2022) Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment. Healthcare, 10(12):2493. [I.F.: 3.160] https://doi.org/10.3390/healthcare10122493 [Q2]
18) Biswajit Jena, Dishant Digdarshi, Sudip Paul, Gopal K Nayak, Sanjay Saxena. (2022) Effect of learning parameters on the performance of the U-Net architecture for cell nuclei segmentation from microscopic cell images, Microscopy. [I.F.:1.758] https://doi.org/10.1093/jmicro/dfac063 [Q3]
19) Khanna, N.N., Maindarkar, M., Puvvula, A., Paul, S., Bhagawati, M., Ahluwalia, P., Ruzsa, Z., Sharma, A., Munjral, S., Kolluri, R., Krishnan, P.R., Singh, I.M., Laird, J.R., Fatemi, M., Alizad, A., Dhanjil, S.K., Saba, L., Balestrieri, A., Faa, G., Paraskevas, K.I., Misra, D.P., Agarwal, V., Sharma, A., Teji, J., Al-Maini, M., Nicolaides, A., Rathore, V., Naidu, S., Liblik, K., Johri, A.M., Turk, M., Sobel, D.W., Pareek, G., Miner, M., Viskovic, K., Tsoulfas, G., Protogerou, A.D., Mavrogeni, S., Kitas, G.D., Fouda, M.M., Kalra, M.K., Suri, J.S. (2022) Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report. J. Cardiovasc. Dev. Dis., 9(268). [I.F.: 4.415] https://doi.org/10.3390/jcdd9080268 [Q2]
20) Suri, J.S.; Maindarkar, M.A.; Paul, S.; Ahluwalia, P.; Bhagawati, M.; Saba, L.; Faa, G.; Saxena, S.; Singh, I.M.; Chadha, P.S.; Turk, M.; Johri, A.; Khanna, N.N.; Viskovic, K.; Mavrogeni, S.; Laird, J.R.; Miner, M.; Sobel, D.W.; Balestrieri, A.; Sfikakis, P.P.; Tsoulfas, G.; Protogerou, A.D.; Misra, D.P.; Agarwal, V.; Kitas, G.D.; Kolluri, R.; Teji, J.S.; Al-Maini, M.; Dhanjil, S.K.; Sockalingam, M.; Saxena, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P.R.; Omerzu, T.; Naidu, S.; Nicolaides, A.; Paraskevas, K.I.; Kalra, M.; Ruzsa, Z.; Fouda, M.M. (2022) Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review. Diagnostics 12(1543). [I.F.:3.992] https://doi.org/10.3390/diagnostics12071543 [Q1]
21) Khanna, N.N.; Maindarkar, M.; Saxena, A.; Ahluwalia, P.; Paul, S.; Srivastava, S.K.; Cuadrado-Godia, E.; Sharma, A.; Omerzu, T.; Saba, L.; Mavrogeni, S.; Turk, M.; Laird, J.R.; Kitas, G.D.; Fatemi, M.; Barqawi, A.B.; Miner, M.; Singh, I.M.; Johri, A.; Kalra, M.M.; Agarwal, V.; Paraskevas, K.I.; Teji, J.S.; Fouda, M.M.; Pareek, G.; Suri, J.S. (2022) Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review. Diagnostics, 12(1249). [I.F.:3.992] https://doi.org/10.3390/diagnostics12051249 [Q1]
22) Munjral, S.; Maindarkar, M.; Ahluwalia, P.; Puvvula, A.; Jamthikar, A.; Jujaray, T.; Suri, N.; Paul, S.; Pathak, R.; Saba, L.; Chalakkal, R.J.; Gupta, S.; Faa, G.; Singh, I.M.; Chadha, P.S.; Turk, M.; Johri, A.M.; Khanna, N.N.; Viskovic, K.; Mavrogeni, S.; Laird, J.R.; Pareek, G.; Miner, M.; Sobel, D.W.; Balestrieri, A.; Sfikakis, P.P.; Tsoulfas, G.; Protogerou, A.; Misra, D.P.; Agarwal, V.; Kitas, G.D.; Kolluri, R.; Teji, J.; Al-Maini, M.; Dhanjil, S.K.; Sockalingam, M.; Saxena, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Viswanathan, V.; Krishnan, P.R.; Omerzu, T.; Naidu, S.; Nicolaides, A.; Fouda, M.M.; Suri, J.S. (2022) Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review. Diagnostics, 12(1234). [I.F.:3.992] https://doi.org/10.3390/diagnostics12051234 [Q1]
23) Suri, J.S.; Paul, S.; Maindarkar, M.A.; Puvvula, A.; Saxena, S.; Saba, L.; Turk, M.; Laird, J.R.; Khanna, N.N.; Viskovic, K.; Singh, I.M.; Kalra, M.; Krishnan, P.R.; Johri, A.; Paraskevas, K.I. (2022) Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites, 12(312). [I.F.:5.581] https://doi.org/10.3390/metabo12040312 [Q2]
24) Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, Athanasios D. Protogerou, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Kosmas I. Paraskevas, and Luca Saba. (2022). "A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review" Diagnostics 12, no. 3: 722. [I.F.:3.992] https://doi.org/10.3390/diagnostics12030722 [Q1]
25) Jena, B., Nayak, G.K., Paul, S. et al. (2022) An Exhaustive Analytical Study of U-Net Architecture on Two Diverse Biomedical Imaging Datasets of Electron Microscopy Drosophila ssTEM and Brain MRI BraTS-2021 for Segmentation. SN COMPUT. 3, 418. https://doi.org/10.1007/s42979-022-01347-y [Q3]
26) Angana Saikia, Sushmi Mazumdar, Nitin Sahai, Sudip Paul & Dinesh Bhatia. (2022) Performance Analysis of Artificial Neural Network for Hand Movement Detection from EMG Signals, IETE Journal of Research, 68:2, 1074-1083. [I.F.: 1.877] https://doi.org/10.1080/03772063.2019.1638316 [Q2]
27) Suri JS, Bhagawati M, Paul S, Protogeron A, Sfikakis PP, Kitas GD, Khanna NN, Ruzsa Z, Sharma AM, Saxena S, Faa G, Paraskevas KI, Laird JR, Johri AM, Saba L, Kalra M. (2022) Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Comput Biol Med. 142:105204. [I.F.: 6.698] https://doi.org/10.1016/j.compbiomed.2021.105204 [Q1]
28) Khanna NN, Maindarkar MA, Viswanathan V, Puvvula A, Paul S, Bhagawati M, Ahluwalia P, Ruzsa Z, Sharma A, Kolluri R, Krishnan PR, Singh IM, Laird JR, Fatemi M, Alizad A, Dhanjil SK, Saba L, Balestrieri A, Faa G, Paraskevas KI, Misra DP, Agarwal V, Sharma A, Teji JS, Al-Maini M, Nicolaides A, Rathore V, Naidu S, Liblik K, Johri AM, Turk M, Sobel DW, Miner M, Viskovic K, Tsoulfas G, Protogerou AD, Mavrogeni S, Kitas GD, Fouda MM, Kalra MK, Suri JS. (2022) Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study. Journal of Clinical Medicine. [I.F.: 4.9] https://doi.org/10.3390/jcm11226844 [Q1]
29) Paul S, Nahar A, Bhagawati M, Kunwar AJ. (2022) A Review on Recent Advances of Cerebral Palsy. Oxid Med Cell Longev. 30;2022: 2622310. [I.F.: 7.310] https://doi.org/10.1155/2022/2622310 [Q2]
30) Paul, Sudip & Jain, Shruti & Majhi, Bikram & Pegu, Karobi & Majhi, Vinayak. (2022). A Non-Invasive IoT-Based Glucose Level Monitoring System. Current Signal Transduction Therapy. 17. https://doi.org/1 0.2174/1574362417666220524085231\ [Q3]
31) Das R, Paul S, Mourya GK, Kumar N, Hussain M. (2022) Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights from Human Gait. Front Neurosci. 15;16: 859298. [I.F.: 5.152] https://doi.org/10.3389%2Ffnins.2022.859298 [Q2]
32) Saxena, S.; Jena, B.; Gupta, N.; Das, S.; Sarmah, D.; Bhattacharya, P.; Nath, T.; Paul, S.; Fouda, M.M.; Kalra, M.; Saba, L.; Pareek, G.; Suri, J.S. (2022) Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine. Cancers, 14(2860). [I.F: 6.575] https://doi.org/10.3390/cancers14122860 [Q1]
33) Paul, S.; Maindarkar, M.; Saxena, S.; Saba, L.; Turk, M.; Kalra, M.; Krishnan, P.R.; Suri, J.S. (2022) Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review. Diagnostic, 12(166). [I.F.:3.992] https://doi.org/10.3390/diagnostics12010166 [Q1]
34) Reddy S., Paul S., Reddy B. V. (2021). A Review on Wheelchair and Add-in Devices Design for Disabled. International Journal of Biomedical Engineering and Technology (IJBET), accepted for publication. https://doi.org/10.1504/IJBET.2023.128512 [Q3]
35) Paul, S., (2021). IMPORTANCE OF ANN FOR EARLY DETECTION OF CEREBRAL STROKE. In INTERNATIONAL JOURNAL OF STROKE (Vol. 16, No. 2_ SUPPL, pp. 102-102). SAGE PUBLICATIONS LTD. 10.1177/17474930211041949 [Q1]
36) Reddy S., Paul S., (2021). Design and optimization of Direct drive motor Alloy wheel for a manual wheelchair. International Journal of System Dynamics Applications (IJSDA), accepted for publication. 11(5). https://doi.org/10.4018/IJSDA.20211001.oa10 [Q4]
37) Mourya G. K., Paul S., Handique A., Baid U., Dutande P., Talbar S. N. (2021). Modified U-Net for Fully Automatic Liver Segmentation from Abdominal CT-Image. International Journal of Biomedical Engineering and Technology (IJBET). https://dx.doi.org/10.1504/IJBET.2022.125099 [Q4]
38) Majhi, V., Paul, S., & Saha, G. (2020). Systematic and Symptomatic Review for Parkinson’s Disease. Biomedical and Pharmacology Journal, 13(3), 1367-1380. https://doi.org/10.13005/bpj/2006 [Q4]
39) Pandey V. K., Majhi V., Paul S. (2020). Recovering Oral Motor Strength to Protect Children from Severe Cerebral Palsy through Virtual Gaming Technology. International Journal of Engineering and Advanced Technology (IJEAT). 9(2): 1217-1223. http://dx.doi.org/10.35940/ijeat.B3645.129219 [Q4]
40) Patgiri, Juhi & Mondal, Arindam & Kaman, Gitanjali & Deori, Pinki & Majhi, Vinayak & Paul, Sudip. (2020). Significant Contribution in Healthcare by using IoT. International Journal of Engineering and Advanced Technology. 10. 259-264. https://doi.org/10.35940/ijeat.A1817.1010120 [Q4]
41) Avutu S. R., Paul S., Bhatia D. (2019). Design and feasibility test of an indigenous motorized wheel for manual wheelchair. Int. J. Manuf. Mater. Mech. Eng. 9(3):42–55. https://doi.org/10.4018/IJMMME.2019070104 [Q4]
42) Saikia A., Hussain M., Barua A. R., Paul S. (2019). Performance analysis of various neural network functions for Parkinson's disease classification using EEG and EMG. International Journal of Innovative Technology and Exploring Engineering. 9(1): 3402-3406. https://doi.org/10.35940/ijitee.A4424.119119 [Q4]
43) Saikia A., Majhi V., Hussain M., Paul S. (2019). A systematic review on application-based Parkinson's disease detection systems. International Journal on Emerging Technologies. 10(3): 166-173. [Q4]
44) Paul S., Bhattacharya P., Pandey A. K., Patnaik R. (2014). Application of mathematical modeling as a tool to analyze the EEG signals in rat model of focal cerebral ischemia. Journal of the Institution of Engineers. Springer. 95(1): 23-27. https://doi.org/10.1007/s40031-020-00439-8 [Q3]
PUBLICATIONS NOT COVERED UNDER Q1, Q2, Q3 & Q4
1) Pandey V. K., Tamang D., Saikia A., Paul S. (2019). Sub-threshold: A Design Technique for Ultra-Low Power Operation. Journal of Advanced Database Management & Systems. 6(1): 62–68. https://doi.org/10.37591/joadms.v6i1.2190
2) Majhi V., Saikia A., Datta A., Sinha A., Paul S. (2019). Comprehensive Review on Deep Learning for Neuronal disorders: Applications of deep learning. International Journal of Natural Computing Research (IJNCR). 9(1). https://dx.doi.org/10.4018/IJNCR.2020010103
3) Saikia A., Hussain M., Barua A. R., Paul S. (2019). EEG-EMG Correlation for Parkinson s Disease. International Journal of Engineering and Advanced Technology (IJEAT). 8(6). http://dx.doi.org/10.35940/ijeat.F8360.088619
4) Kumar Pandey, Vinay & Saikia, Angana & Paul, Sudip. (2018). Unique Approach to Control Speech, Sensory and Motor Neuronal Disorder Through Natural Language Processing and Cognitive Development: A Review. International Journal on Natural Language Computing. 7. 59-65. https://doi.org/10.5121/ijnlc.2018.7506
5) Saikia, A., Bhattacharya, P., & Paul, S. (2018). Importance of dopamine in Parkinson’s disease. Adv. Tissue Eng. Regen. Med. Open Access, 4. https://doi.org/10.15406/atroa.2018.04.00077
6) Paul S., Pandey V. K., Saikia A. (2018). A unique approach of cranial nerve stimulation by internet based therapy. MOJ Biology and Medicine. 3. https://doi.org/10.15406/mojbm.2018.03.00070
7) Saikia A., Kakoty N., Phukan N., Balakrishnan M., Sahai N., Paul S., Bhatia D. (2018). Combination of EEG features and stability index for finger movements recognition. International Conference on Robotics and Smart Manufacturing (RoSMa 2018); Procedia Computer Science, Elsevier. 133: 92–98. [I.F: 0.732] http://dx.doi.org/10.1016/j.procs.2018.07.012
8) Pandey V. K., Paul S. (2018) Co-occurrences of Oral Motor Disability along with other Disorders: A Review and Prospective. International Journal of Basic and Applied Biology. 5(3):171-173.
9) Atul Kumar Sharma, Raghuvendra Pratap Tripathi, Dinesh Bhatia, Sudip Paul, Nitin Sahai, T. K. Sinha (2018), The Evolution and Advancement of Pacemaker Technology, International Journal of Computational Engineering Research (IJCER), 8(7), pp. 34-53.
10) Rajak, Bablu & Gupta, Meena & Bhatia, Dinesh & Mukhgerjee, Arun & Paul, Sudip & Sinha, Tapas. (2017). Power Spectrum Density Analysis of EEG Signals in Spastic Cerebral Palsy Patients by Inducing r-TMS Therapy. Journal of Biomedical Engineering and Technology. 4. 7-11. https://doi.org/10.12691/jbet-4-1-2
11) Rajak, Bablu & Gupta, Meena & Bhatia, Dinesh & Mukhgerjee, Arun & Paul, Sudip & Sinha, Tapas. (2016). Power Spectral Analysis of EEG as a Potential Marker in the Diagnosis of Spastic Cerebral palsy cases. International Journal of Biomedical Engineering and Science. 3. 23-29. https://doi.org/10.5121/ijbes.2016.3303
12) Bardoloi, Bijeet & Bhutia, Chungki & Bhatia, Dinesh & Paul, Sudip. (2016). Knee Osteoarthritis: An Overview of Recent Interventions. Journal of Biomedical Engineering and Biosciences. 3. 48-61. https://doi.org/10.11159/jbeb.2017.001
13) Das, Arundhuti & Ramchiary, Shrimanta & Paul, Sudip & Sinha, Tapas & Bhatia, Dinesh. (2016). Studying the impact of alcohol consumption and its cultural understanding using embedding dimension in young healthy adults from Shillong, Meghalaya. International Journal of Biomedical Engineering and Science (IJBES). 3. 19-25. https://doi.org/10.5121/ijbes.2016.3403
14) Saikia, Angana & Mazumdar, Sushmi & Sahai, Nitin & Paul, Sudip. (2015). Below Elbow Prosthetic: A Path to Independent Era. International Journal of Advanced Information Science and Technology. 34. 9-14. https://doi.org/10.15693/ijaist/2015.v4i2.1-6
15) Deepshikha Shrivastava, Dinesh & Bhatia, Nitin Sahai & Paul, Sudip. (2015). A Computational Approach for Early-Stage Identification of Lower Limb Muscle Abnormalities in Humans. International journal of Biomedical Engineering and Science. 2. https://doi.org/10.5121/ijbes.2015.2402
16) Paul, S., Sinha, T. K., Patnaik, R., & Paul, M. S. (2015). EEG time series data analysis in focal cerebral ischemic rat model. International Journal of Biomedical Engineering and Science, 2(1), 1-10.
17) Paul, S., Sinha, T. K., Bhattacharya, P., & Patnaik, R. (2014). Neural Network based classification of EEG Signal in induced focal cerebral ischemic rat brain. group, 32(32). https://doi.org/10.15693/ijaist/2014.v3i12.55-60
18) Paul S., Rout N., Waghmare P. G., Patnaik R. (2014). Design of Low Cost Multi-Use, User-Friendly and Durable Hearing Aid. International Journal of Emerging Engineering Research and Technology. 2(4): 109-115.
19) Paul, S., Bhattacharya, P., Pandey, A., Sharma, N., Tiwari, J., & Patnaik, R. (2013). A Strategic Application of Fast Fourier Transform as a Novel Tool to Evaluate the Extent of Neuronal Insult in Rat Model of Focal Cerebral Ischemia. Bangladesh Journal of Medical Physics. 5(1), 29–36. https://doi.org/10.3329/bjmp.v5i1.14666
B. Books (edited / authored):
1) Paul, S., & Suri, J. (2025). Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, Computer-Aided Diagnosis, E-Health Records. Academic Press. ISBN: 9780443138164
2) B Jena, S Saxena, S Paul. (2025). Machine Learning for Neurodegenerative Disorders: Advancements and Applications. CRC Press, Taylor & Francis. ISBN: 9781032661025
3) Sudip Paul, Angana Saikia, Vinayak Majhi, Vinay Kumar Pandey. (2022) Introduction to Biomedical Instrumentation and Its Applications, Elsevier Science, Academic Press, ISBN: 9780128216743
4) Verma, Jitendra & Paul, Sudip. (2022). Advances in Augmented Reality and Virtual Reality. Springer, Singapore, ISBN 978-9811672194
5) Saxena, Sanjay & Paul, Sudip. (2022). High-Performance Medical Image Processing. Apple Academic Press, Canada, ISBN: 9781003190011
6) Saxena, S., & Paul, S. (2021). Deep Learning Applications in Medical Imaging. IGI Global. ISBN: 9781799850717
7) Manocha, Amit & Jain, Shruti & Singh, Mandeep & Paul, Sudip. (2021). Computational Intelligence in Healthcare. Springer Nature, Singapore, ISBN: 9783030687229
8) Jain, S., & Paul, S. (2021). Assistive Technology Intervention in Healthcare. CRC Press. ISBN: 9781003207856
9) Paul, S., & Bhatia, D. (Eds.). (2020). Smart healthcare for disease diagnosis and prevention. Academic Press. ISBN: 9780128179130
10) Verma, J. K., Paul, S., & Johri, P. (Eds.). (2020). Computational Intelligence and Its Applications in Healthcare. Academic Press. ISBN: 9780128206195
11) Johri, P., Verma, J. K., & Paul, S. (2020). Applications of Machine Learning. Springer, ISBN: 9789811533570
12) Jain, S. (2020). Advances in Computational Intelligence Techniques. M. Sood, & S. Paul, Springer Singapore. ISBN: 9789811526190
13) Jain, Shruti & Paul, Sudip. (2020). Recent Trends in Image and Signal Processing in Computer Vision. Springer Nature, Singapore., ISBN: 9789811527395
14) Paul, S., et al. (2019). Cranial Nerves and Oral Motor Disorder in Infants and Adults, Amazon Digital Services LLC - KDP Print US, ISBN: 9781072910336
15) Sudip Paul, Sharad Kumar Kulshreshtha, (2019). Global Developments in Healthcare and Medical Tourism. United States: IGI Global. ISBN: 9781522597889
16) Paul, S., Bhattacharya, P., & Bit, A. (Eds.). (2019). Early Detection of Neurological Disorders Using Machine Learning Systems. IGI Global. ISBN: 9781522597872
17) Paul, Sudip. (2019). Application of Biomedical Engineering in Neuroscience. Springer Singapore, ISBN: 9789811371424
18) Paul, S. (2019). Biomedical Engineering and its Applications in Healthcare, Springer Singapore. ISBN: 9811337055
19) Saikia, Angana & Paul, Sudip. (2017). AN OVERVIEW OF PARKINSON’S DISEASE AND ITS RELEVANCE. LAP LAMBERT Academic Publishing, Germany, ISBN: 9786133995994
C. Book Chapters:
1) Bhagawati, M., & Paul, S. (2025). Identifying cardiovascular abnormalities. Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis. In Elsevier, USA (pp. 227–244).
2) S. Paul, (2024). MRI: An important biomarker for radiomics study of brain cancer using machine learning. In: Radiomics and Radiogenomics in Neuro-Oncology. Academic Press publication, (pp. 181-210)
3) Avutu, S. R., & Paul, S. (2022). Artificial Intelligence Algorithms for Healthcare and Neurorehabilitation Engineering. Pervasive Healthcare. Springer, Cham. (pp. 103-118).
4) Paul, S., & Datta, A. (2020). Application of machine learning for early diagnosis of Parkinson’s disease. Smart healthcare for disease diagnosis and prevention. Academic Press. (pp. 33-41).
5) Majhi, V., & Paul, S. (2020). Application of Content-Based Image Retrieval in Medical Image Acquisition. In R. Kashyap, & A. Kumar (Ed.), Challenges and Applications for Implementing Machine Learning in Computer Vision. IGI Global. (pp. 220-240).
6) Saxena, S., Paul, S., Garg, A., Saikia, A., & Datta, A. (2020). Deep Learning in Computational Neuroscience. In R. Kashyap, & A. Kumar (Ed.), Challenges and Applications for Implementing Machine Learning in Computer Vision. IGI Global. (pp. 43-63).
7) Majhi, V., Choudhury, B., & Paul, S. (2020). Prevention and Treatment of Alzheimer’s Disease in the Light of Ayurveda. In Phytomedicine and Alzheimer’s Disease. CRC Press. (pp. 85-96).
8) Pandey, V. K., & Paul, S. (2020). Therapeutic approach in cerebral palsy treatment and management: outcomes and benefits. In Smart Healthcare for Disease Diagnosis and Prevention. Academic Press. (pp. 141-151).
9) Saikia, A., & Paul, S. (2020). Application of Deep Learning for EEG. In D. Sisodia, R. Pachori, & L. Garg (Ed.), Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering. IGI Global. (pp. 106-123).
10) Saikia, A., Hussain, M., Barua, A. R., & Paul, S. (2020). An insight into Parkinson’s disease: researches and its complexities. In Smart Healthcare for Disease Diagnosis and Prevention. Academic Press. (pp. 59-80).
11) Saikia, A., & Paul, S. (2019). EEG signal processing and its classification for rehabilitation device control. In Application of biomedical engineering in neuroscience. Springer, Singapore. (pp. 173-196).
12) Pandey, V.K., Paul, S. (2019). Overview of Medical Electronics for Physically Disabled. In: Paul, S. (eds) Biomedical Engineering and its Applications in Healthcare. Springer, Singapore.
13) Bhatia, D., & Paul, S. (2019). Sensor fusion and control techniques for bio rehabilitation. In Bioelectronics and Medical Devices. Woodhead Publishing. (pp. 615-634).
14) Avutu, S.R., Paul, S., Bhatia, D. (2019). Smart Rehabilitation for Neuro-Disability: A Review. In: Paul, S. (eds) Application of Biomedical Engineering in Neuroscience. Springer, Singapore.
15) Paul, Sudip, Saikia, Angana, et al. (2019) Tremor Identification Using Machine Learning in Parkinson's Disease. Early Detection of Neurological Disorders Using Machine Learning Systems, edited by Sudip Paul, et al., IGI Global, (pp. 128-151).
16) Paul, S. (2018) Effect of Dopamine in Parkinson’s disease. Trends in Experimental Biology, Vol: 3, Excel Publication, New Delhi, India.
17) Paul, Sudip and Tapas Kumar Sinha. (2018) Remote Monitoring via EEG of Persons in Severe Depression. Design and Development of Affordable Healthcare Technologies, edited by Arindam Bit, IGI Global, pp. 288-298.
D. Selected Conference Publications:
1) S. Srinivas, P. DK, P. Padmanabha, S. Paul and P. R. Sankpal. (2025). Quantum Dots in Modern Medicine: Advancing Imaging, Diagnostics, and Drug Delivery. 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India, 2025, pp. 1-6
2) Bhagawati, M., & Paul, S. (2024, March). Generative Adversarial Network-based Deep Learning Framework for Cardiovascular Disease Risk Prediction. In 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT) (pp. 1-4). IEEE.
3) A Saikia and S Paul. (2023, October). Study of Early-stage Parkinson’s Illness EEG Activity Using Wavelet Techniques, in XLI Annual Meeting of the Indian Academy of Neurosciences and International Conference on BRAIN: CHEMISTRY TO COGNITION
4) Pandeya, V.K., V. Majhi, S. Paul, S. Jain. 2023, Gamifying Therapy: A New Approach to Modern Therapeutics, in International Conference on Machine Learning and Data Engineering (ICMLDE-2023). Science Direct.
5) Bhagawati, M., & Paul, S. (2023, November). Artificial Intelligence Method for Identifying Cardiovascular Disease Risk. In 2nd International Conference on Data, Electronics and Computing (ICDEC 2023) (pp. 34). Springer.
6) Suri, J. S., Bhagawati, M., Paul, S., Protogeron, A., Sfikakis, P. P., Kitas, G. D., & Kalra, M. (2022). How Critical is Gold Standard during Artificial Intelligence Design for Coronary Artery Disease Prediction using Carotid Ultrasound: A Bias Study. Annual integrative ultrasound meeting (AIUM), March 12-16.
7) V. Majhi, S. Paul and G. Saha, Impact of Surgical History on Parkinson's Disease Progression, 2022 IEEE Delhi Section Conference (DELCON), 2022, pp. 1-5.
8) S. Jain and S. Paul, Determination of Risk Prediction using Random Forest technique for Breast Cancer, 2022 IEEE Delhi Section Conference (DELCON), 2022, pp. 1-4.
9) V. Majhi, A. Sinha, S. Paul and A. K. Baruah, Designing of a Large Scale Automated Composite Book Sanitizer Machine, 2021 International Conference on Computational Performance Evaluation (ComPE), 2021, pp. 702-709.
10) K. Parasar, N. C. Bhutia, A. Saikia, S. Jaiswal and S. Paul, Energy of the wavelet components in EEG signal during cognitive task, 2021 International Conference on Computational Performance Evaluation (ComPE), 2021, pp. 988-991.
11) S. Chakraborty, N. De, D. Marak, M. Borah, S. Paul and V. Majhi, Voice Controlled Robotic Car Using Mobile Application, 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021, pp. 1-5.
12) M. Bhagawati and S. Paul, Machine Learning for Major Depressive Disorder: An Overview, 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021, pp. 1-4.
13) Bharadwaj S., Paul S. (2020). Curve Tracing Method in Segmentation and Detection of Type 2 Diabetes Mellitus in ECGs of Unhealthy Patients. 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). Bhopal, India. (ORAL)
14) Saikia A., Majhi V., Hussain M., Barua A.R., Paul S., Verma J.K., (2020). Machine learning based diagnostic system for early detection of Parkinson's disease. IEEE International Conference on Computational Performance Evaluation (ComPE), North-Eastern Hill University, India (ORAL)
15) Avutu S. R., Paul S., Reddy B. V. (2020). Modeling and Comparative Analysis of Direct Drive Wheel for Manual Wheelchair. 2020 IEEE Bangalore Humanitarian Technology Conference, BHTC-2020 (Best paper award) (ORAL)
16) Avutu S. R., Paul S, A. P. V.V.B, Verma J. K. (2020). Modelling of Brushless DC Hub Motor to control the speed of Indigenous powered wheelchair. 2020 International Conference on Computational Performance Evaluation (ComPE), North-Eastern Hill University, Shillong, Meghalaya, India. (ORAL)
17) Majhi V., Paul. S, Saha G., Verma J. K. (2020). Sensor based Detection of Parkinson's Disease Motor Symptoms. 2020 International Conference on Computational Performance Evaluation (ComPE), North-Eastern Hill University, Shillong, Meghalaya, India. (ORAL)
18) Saikia A., Hussain M., Barua, A. R., Paul S. (2019). Significance of Lyapunov Exponent in Parkinson's Disease Using Electroencephalography. 6th IEEE International Conference on Signal Processing and Integrated Networks (SPIN), Amity University, India. (ORAL)
19) Majhi, V., Paul S., Jain R. (2019). Bioinformatics for Healthcare Applications. 2019 IEEE Amity International Conference on Artificial Intelligence (AICAI). IEEE sponsored Amity International Conference on Artificial Intelligence, Dubai. (ORAL)
20) Paul S., Verma J., Datta A., Shaw R., Saikia A. (2018). Deep Learning and its Importance for Early Signature of Neuronal Disorders. 4th IEEE International Conference on Computing Communication and Automation, Galgotias University; India (ORAL)
21) Paul S., Bhattacharya P, Saikia A. (2018). Early detection of cerebral stroke using bio signals. 11th World Stroke Congress, Montreal, Canada. International Journal of Stroke. 13(2S):136 [ISSN: 17474949; I.F.: 3.833] (E-POSTER)
22) Rajak B. L., Gupta M., Bhatia D., Mukherjee A., Paul S., Sinha T. K. (2018). Power Spectral Study of EEG Signal from the Frontal Brain Area of Autistic Children, in Proceedings of the International Conference on Computing and Communication Systems. Springer, Singapore. [ISBN: 9789811068898].
23) Sari I., Bhalerao G.V., Paul S. (2018). An Image-Based Approach for the Classification of Dementia from Brain Magnetic Resonance Images, in Proceedings of the International Conference on Computing and Communication Systems. Springer, Singapore. [ISBN: 9789811068898].
24) Paul S., Sinha T., Patnaik R. (2017). Feedforward neural network-based classification cans possibly a novel tool to evaluate the neuronal condition in rat model. XXIII World Congress of Neurology, Kyoto, Japan. (E-POSTER) [ISSN: 1878-5883; I.F.: 2.447]
25) Mazumdar S, Saikia A, Sahai N, Bhatia D, Paul S. (2017). Determination of Significant Muscle in Movement of Upper Limb using Maximum Voluntary Contraction of EMG Signal. 4th IEEE Signal Processing and Integrated Networks Conference. India. (ORAL)
26) Pandey V. K., Saikia A, Paul S. (2017). Unique approach to control speech sensory and motor neuronal disorder through natural language processing and cognitive development: A Review. REGICON 2017, IIIT Manipur, India. (ORAL)
27) Paul S., Sinha T. K. (2016). Effect of cerebral stroke on collective neural oscillations in rat brain. 10th World Stroke Congress, Hyderabad. International Journal of Stroke. 11(Supp 3): 203-204. [ISSN: 1747-4949; I.F.: 3.833] (POSTER; Young Investigator Award)
28) Saikia A., Mazumdar S., Sahai N., Paul S., Bhatia D. (2016). Comparative study and feature extraction of the muscle activity patterns in healthy subjects. 3rd IEEE International Conference on Signal Processing and Integrated Networks, SPIN 2016, pp. 147-151. (ORAL)
29) Bhatia D., Rajak B.L., Gupta M., Mukherjee A., Paul S., Sinha T.K. (2016). Improved motor performance in spastic cerebral palsy children after repetitive transcranial magnetic stimulation. SfN Neuroscience 2016 Conference, San Diego, USA. (POSTER)
30) Rajak B.L., Gupta M., Bhatia D., Mukherjee A., Paul S., Sinha T.K. (2015). FFT Based Analysis Provide a New Dimension for Spastic Cerebral Palsy Children- Post rTMS therapy. 29th Annual Meeting of the Society for Neurochemistry, India: National Workshop and Conference on Advances in Computational Neurochemistry and Neurobiology, NEHU. (ORAL; Best Oral Presentation Award)
31) Saikia A., Mazumdar S., Sahai N., Paul S., Bhatia D. (2015). Brain computer interfaced controlled prosthetic hand using EMG Signal. 29th Annual Meeting of the Society for Neurochemistry, India: National Workshop and Conference on Advances in Computational Neurochemistry and Neurobiology, NEHU. (ORAL)
32) Afrooz M., Dutta J., Islam M., Khandokar M. U., Paul S. (2015). Design of ECG amplifier with QRS component detector Module. National Conference on Recent Advances in Biomedical Engineering, NEHU, India. (ORAL; Best Oral Presentation Award)
33) Mazumdar S., Saikia A., Sahai N., Paul S., Bhatia D. (2015). Microcontrollers in Prosthetics: An Overview. National Conference on Recent Advances in Biomedical Engineering, NEHU, India. (ORAL)
34) Paul S. (2015). Advanced EEG Recordings as Tools for Treating Brain Strokes. 102nd Indian Science Congress, University of Mumbai, India. (POSTER)
35) Paul S., Bhattacharya P., Sinha T. K., Patnaik R. (2014). Characterization of the brain attractors in focal cerebral ischemic rat model using EEG time series data analysis. SfN Neuroscience-2014, Washington DC, USA. (POSTER)
E. Special Issue editors/guest editors / conference proceedings editor:
1) Paul, Sudip & Jain, Shruti. (2022). Special Issue: Modern Technological Intervention in Healthcare: Vol 1, https://www.sciencedirect.com/journal/measurement-sensors/special-issue/10SV36HVLC4
2) Paul, S., et al. (2022). Advancement in Biomaterials & Smart Materials for Healthcare (Guest Editor), Tech Science Press, ISSN 1546-2218.
3) Paul, S., et al. (2021) International Conference on Computational Performance Evaluation (ComPE) Proceedings, Shillong, India, 2021, ISBN 9781665436564, DOI: https://doi.org/10.1109/ComPE53109.2021
4) Paul, Sudip & Jain, Shruti. (2021). Special Issue: Sensor-based Wireless Biomedical Systems for Health Technologies. Measurement: Sensors ISSN 2665-9174, 17. 100058. DOI: http://dx.doi.org/10.1016/j.measen.2021.100058
5) Paul, S., et al. (2021). Abstract Book of IBRO Global Engagement Workshop 2021 on Neurodegenerative Diseases, Self-Published (Raja Rammohun Roy National Agency for ISBN), ISBN 9789355268655
6) Paul, S., et al (2020) International Conference on Computational Performance Evaluation (ComPE) Proceedings, Shillong, India, 2020, ISBN 9781728166445, DOI: https://doi.org/10.1109/ComPE49325.2020
7) Paul, S., et al. (2017). Journal of Biological Engineering Research and Review (Guest Editor), Journal of Biological Engineering Research & Review, ISSN 2349-3232