Publications (Before 2024)

Journals (Total: 31):

2023

1. Poonguzhali Elangovan, D. Vijayalakshmi, and Malaya Kumar Nath, "COVID-19Net: An effective and robust approach for Covid-19 detection using ensemble of convNet-24 and customized pre-trained models" Circuits, Systems and Signal Processing: Springer Nature (IF - 2.225, indexed in SCIE), vol. **, no. **, pp: *, Published December 2023, Accepted November 2023. https://doi.org/10.1007/s00034-023-02564-3

2. D. Vijayalakshmi and Malaya Kumar Nath, "A systematic approach for enhancement of homogeneous background images using structural information", Graphical Models, vol. 130, December 2023, pp. 101206 (1-23). Accepted October 2023. https://doi.org/10.1016/j.gmod.2023.101206 

3. Vipin Venugopal, Navin Infant Raj, Malaya Kumar Nath, Norton Stephen, "A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images", Decision Analytics Journal: Elsevier, vol. 8, September 2023, pp. 100278 (1-11). Accepted June 2023. https://doi.org/10.1016/j.dajour.2023.100278 

4. Thivya Anbalagan, Malaya Kumar Nath, D. Vijayalakshmi, Archana Anbalagan, "Analysis of various techniques for ECG signal in healthcare, past, present, and future", Biomedical Engineering Advances: Elsevier, vol. 6. November 2023, pp. 100089 (1-28). Accepted: May 2023.  https://doi.org/10.1016/j.bea.2023.100089

5. Duggani Keerthana, Vipin Venugopal, Malaya Kumar Nath, and Madhusudan Mishra, "Hybrid convolutional neural networks with SVM classifier for classification of skin cancer", Biomedical Engineering Advances: Elsevier, vol. 5. 2023, pp. 100069 (1-8). Accepted: December 2022. https://doi.org/10.1016/j.bea.2022.100069

2022

6. M. Karthick, D. Vijayalakshmi, Malaya Kumar Nath, and M. Mathumathi, "Machine learning approaches for automatic disease detection from paddy crops - A review", International Journal of Engineering Trends and Technology, vol 70, no. 12, pp: 392-405, December 2022. https://doi.org/10.14445/22315381/IJETT-V70I12P237

7. D. Vijayalakshmi, and Malaya Kumar Nath, "A Strategic Approach towards Contrast Enhancement by Two-Dimensional Histogram Equalization based on Total Variational Decomposition", Multimedia Tools and Applications: Springer Nature (IF - 2.396, indexed in SCIE), vol. **, no. **, pp: **, October 2022. https://doi.org/10.1007/s11042-022-13932-7 

8. Mithun Kumar Kar, Debanga Raj Neog, and Malaya Kumar Nath, "Retinal Vessel Segmentation using Multi-scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks", Circuits, Systems and Signal Processing: Springer Nature (IF - 2.225, indexed in SCIE), pp: 1206-1235, vol. **, no. **, September 2022. https://doi.org/10.1007/s00034-022-02190-5 

9. Vipin Venugopal, Justin Joshep, M. Vipin Das, Malaya Kumar Nath, "DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images", Computers in Biology and Medicine: Elsevier (IF-6.698, indexed in SCI), vol. 148, September 2022, pp. 105852 (1-12). https://doi.org/10.1016/j.compbiomed.2022.105852 

10. Vipin Venugopal, Justin Joshep, M. Vipin Das, Malaya Kumar Nath, "An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions", Computer Methods and Programs in Biomedicine (IF – 7.027, indexed in SCI), vol. 222, July 2022, pp. 106935 (1-14). https://doi.org/10.1016/j.cmpb.2022.106935 

11. Poonguzhali Elangovan, and Malaya Kumar Nath, “En-ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks” International Journal of Imaging Systems and Technology (IF - 2.0, indexed in SCIE), vol. 33, no. **, pp. **, May 2022. https://doi.org/10.1002/ima.22761 

12. Naga Swathi T, Megala V, Yokesh Babu S, Malaya Kumar Nath, Jayadev S, and Rezin, “COVID-19 social distancing IoT application using image processing and deep learning”, ECS Transactions (IF - **, indexed in SCIE), The Electrochemical Society, vol. 107, no. 1, pp. 7779-7791, April 2022. https://doi.org/10.1149/10701.7779ecst 

13. D. Vijayalakshmi, Malaya Kumar Nath, "A novel multilevel framework based contrast enhancement for uniform and non-uniform background images using Suitable Histogram Equalization", Digital Signal Processing, Elsevier (IF - 3.381, indexed in SCIE), March 2022, pp. 103532 (1-19). https://doi.org/10.1016/j.dsp.2022.103532

14. Yellamelli Prajna, and Malaya Kumar Nath, “Efficient blood vessel segmentation from color fundus image using deep neural network”, Journal of Intelligent and Fuzzy Systems: IOS Press (IF - 1.737, indexed in SCIE), vol 42, no. 4, pp. 3477-3489, March 2022. https://doi.org/10.3233/JIFS-211479 

2021

15. D. Vijayalakshmi, Poonguzhali Elangovan, and Malaya Kumar Nath, “Renyi entropy based bi-histogram equalization for contrast enhancement of MRI brain images”, Indian Journal of Radio & Space Physics (IJRSP) (indexed in Scopus), NiScPR-CSIR, vol. 50, no. 1, pp.5-11, March 2021. http://nopr.niscpr.res.in/handle/123456789/58085  

16. Poonguzhali Elangovan, D. Vijayalakshmi, and Malaya Kumar Nath, “Detection of glaucoma from fundus image using pre-trained Densenet201 model”, Indian Journal of Radio & Space Physics (IJRSP) (indexed in Scopus), NiScPR-CSIR, vol. 50, no. 1, pp.33-39, March 2021. http://nopr.niscair.res.in/handle/123456789/58080 

17. Mithun Kumar Kar, Malaya Kumar Nath, Debanga Raj Neog, “A review on progress in semantic image segmentation and its application to medical images”, SN Computer Science: Springer Nature (indexed in Scopus), vol. 2, no. 397, pp. 1-30, July 2021. https://doi.org/10.1007/s42979-021-00784-5 

18. Poonguzhali Elangovan, and Malaya Kumar Nath, “A novel shallow Convnet-18 for malaria parasite detection in thin blood smear images”, SN Computer Science: Springer Nature (indexed in Scopus), vol. 2, no. 5, pp. 1-11, July 2021. https://doi.org/10.1007/s42979-021-00763-w 

19. D. Vijayalakshmi, and Malaya Kumar Nath, “A novel enhancement technique using gradient-based joint histogram equalization”, Circuits, Systems, and Signal Processing: Springer Nature (IF - 2.225, indexed in SCIE), pp: 3929-3967, vol. 40, no. **, February 2021. https://doi.org/10.1007/s00034-021-01655-3 

2020

20. Poonguzhali Elangovan, and Malaya Kumar Nath, “Glaucoma assessment from color fundus images using convolutional neural network”, International Journal of Imaging Systems and Technology (IF - 2.0, indexed in SCIE), vol. 31, no. 02, pp. 955-971, September 2020.  https://doi.org/10.1002/ima.22494

21. D. Vijayalakshmi, Malaya Kumar Nath, and Om Prakash Acharya, “A comprehensive survey on image contrast enhancement techniques in spatial domain”, Sensing and Imaging, Springer Nature (indexed in Scopus), vol. 21, no. 40, July 2020. https://link.springer.com/article/10.1007/s11220-020-00305-3

22. D. Vijayalakshmi, and Malaya Kumar Nath, “Taxonomy of performance measures for contrast enhancement”, Pattern Recognition and Image Analysis, Springer Nature (IF - 1.244, indexed in ESCI), Issue. 04, vol.30, pp: 691-701, 2020. https://doi.org/10.1134/S1054661820040240 

23. Nagarajan Sugan, Netimi Satya Sai Srinivas, Lakshmi Sutha Kumar, Malaya Kumar Nath, and Annirudha Kanhe, “Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales”, Journal of Digital Signal Processing: Elsevier (IF - 3.381, indexed in SCIE), vol. 104, May 2020, pp. 102763-102784. https://doi.org/10.1016/j.dsp.2020.102763 

24. Malaya Kumar Nath, Samarendra Dandapat, and Cornel Barna, “Automatic detection of blood vessels and evaluation of retinal disorder from color fundus images”, Journal of Intelligent & Fuzzy Systems: IOS Press (IF - 1.737, indexed in SCIE), vol. 38, no 5, May 2020, pp. 6019-6030. https://doi.org/10.3233/JIFS-179687 

2019

25. Poonguzhali Elangovan, and Malaya Kumar Nath, “A review: person identification using retinal fundus images”, International Journal of Electronics and Telecommunications (indexed in Scopus), vol. 65, no. 4, September 2019, pp. 585-596. https://doi.org/10.24425/ijet.2019.129817 

26. G. Ravichandran, Poonguzhali Elangovan, and Malaya Kumar Nath, “Diagnosis of retinitis pigmentosa from retinal images”, International Journal of Electronics and Telecommunications (indexed in Scopus), vol.65, Issue 3, August 2019, pp. 519-525. https://doi.org/10.24425/ijet.2019.129808 

27. N. Sugan, N. S. Sai Srinivas, Niladri Kar, L. S. Kumar, Malaya Kumar Nath, and Aniruddha Kanhe, “Recognition of spoken languages from acoustic speech signals using Fourier parameters”, Circuits, Systems, and Signal Processing: Springer Nature (IF - 2.225, indexed in SCIE), vol. 38, April 2019, pp. 5018-5067. https://doi.org/10.1007/s00034-019-01100-6 

28. Mithun Kumar Kar, G. Ravichandran, Poonguzhali Elangovan, and Malaya Kumar Nath, “Analysis of diagnostic features from fundus image using multiscale wavelet decomposition”, ICIC Express Letters Part B: Applications (indexed in Scopus), vol 10, no. 2, February 2019, pp.175-184. https://doi.org/10.24507/icicelb.10.02.175

2013

29. Malaya Kumar Nath and Samarendra Dandapat, “Multiscale ICA for fundus image analysis”, International Journal of Imaging Systems and Technology (IF - 2.0, indexed in SCIE), vol. 23, Issue 4, 2013, pp. 327-337. https://doi.org/10.1002/ima.22067 

2012

30.  Malaya Kumar Nath, and Samarendra Dandapat, “Differential entropy in wavelet sub-band for assessment of glaucoma”, International Journal of Imaging Systems and Technology (IF - 2.0, indexed in SCIE), vol. 22, Issue 3, 2012, pp. 161-165. https://doi.org/10.1002/ima.22017 

2011

31. M. Mishra, Malaya Kumar Nath, S. R. Nirmala and Samarendra Dandapat, “Image processing techniques for glaucoma detection”, Communications in computer and Information Science: Advances in computing and Communications: Springer (indexed in Scopus), vol. 192, 2011, pp. 365-373. https://link.springer.com/chapter/10.1007/978-3-642-22720-2_38 

Conferences (Total 27):

2023

1. Sanghamitra Subhadarsini Dash, Malaya Kumar Nath, Thivya Anbalagan, (Online: 2024). Identification of FECG from AECG Recordings using ICA over EMD. In: Su, R., Zhang, YD., Frangi, A.F. (eds) Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023). MICAD 2023. Lecture Notes in Electrical Engineering, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-97-1335-6_21 

4th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD) 2023, held at Westminster College, Madingley Rd, Cambridge, United Kingdom, from  Dec. 9-10, 2023, LNEE 1166. 

MICAD2023-DAY 1 (09.12.2023): https://www.youtube.com/watch?v=eKxuyXDqf08  

Our presentation starts at (Time stamp): 4:36:47 / 5:54:08

2. Thivya Anbalagan, Malaya Kumar Nath, Danduri Srutha Keerthi, Kambham Pranathi, Kothapalli Satyanarayana, “A Novel Deep Learning Approach for Detection of Sleep Apnea from ECG Signal”, 2023 4th IEEE International Conference on Signal Processing and Communication (ICSPC), held 23-24, March 2023 at Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. Will be published in Scopus indexed IEEE Xplore digital library with ISBN 979-8-3503-0077-2. https://doi.org/10.1109/ICSPC57692.2023.10125944

2022

3. Maddali Yaswanth, Navin Infant Raj, and Malaya Kumar Nath, “Hopfield neural network for classification of digits”, 9th IEEE UP Section International Conference 2022, 2-4th December, Organized by Indian Institute of Information and Technology, Allahabad, Uttar Pradesh, India. In: Electrical, Electronics and Computer Engineering. https://doi.org/10.1109/UPCON56432.2022.9986401 

2021

4. Pavuluri Lilly Maheepa and Malaya Kumar Nath, "Classification of brain tumor MR images using transfer learning and machine learning models", 6th IAPR International Conference on Computer Vision & Image Processing (CVIP-2021), 3-5th December, Organised by Indian Institute of Technology, Ropar, Rupnagar, Punjab, India. https://doi.org/10.1007/978-3-031-11346-8_1 

5. D. Vijayalakshmi, Malaya Kumar Nath, and Madhusudan Mishra,"Novel pre-processing stage for classification of CT scan covid-19 images", In Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP (2021), Lisbon, Portugal, 6-8 July 2021, pp. 87-94. ISBN 978-989-758-525-8.  https://www.scitepress.org/Link.aspx?doi=10.5220/0010625200870094 

6. Vipin V., Malaya Kumar Nath, Sreejith V., Nikhil Francis Giji, Adithya Ramesh, and Meera M., "Detection of melanoma using deep learning techniques: A review", International Conference on Communication, Control and Information Sciences (ICCISc-2021), Govt. Engineering College (GEC) Idukki and IEEE Kerala section, 16-18th June 2021, vol.1, pp. 1-8. https://doi.org/10.1109/ICCISc52257.2021.9484861 

7. J. Dhakshayani, Sanket S Kulkarni, Ansuman Mahapatra, B. Surendiran and Malaya Kumar Nath, "Weed classification from paddy crops using convolutional neural network", International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS-2021), National Institute of Technology, Kurukshetra & Soft Computing Research Society, 7th May, 2021. In: Springer Book Series "Algorithms for Intelligent Systems". Online: 2022. https://doi.org/10.1007/978-981-16-5747-4_42 

8. Duggani Keerthana, and Malaya Kumar Nath, "A novel hybrid method for melanoma classification from skin images", International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS-2021), National Institute of Technology, Kurukshetra & Soft Computing Research Society, 7th May, 2021. In: Springer Book Series "Algorithms for Intelligent Systems".  https://doi.org/10.1007/978-981-16-5747-4_47 

2020

9. Mithun Kumar Kar, Malaya Kumar Nath, and Madhusudan Mishra, “Retinal vessel segmentation and disc detection from color fundus images using inception module and residual connection”, 4th International Conference On Recent Trends In Advanced Computing (ICRTAC)-2021, 17-18th December 2020, VIT Chennai, India. Online: 2022. https://doi.org/10.1007/978-981-16-6448-9_58 

10. Malaya Kumar Nath, Aniruddha Kanhe and Madhusudan Mishra, “A novel deep learning approach for classification of covid-19 images”, 5th International Conference on Computing Communication and Automation (ICCCA) 2020, 30-31st October 2020, Jointly Organised by Aurel Vlaicu University of Arad, Romania & Galgotias University, Greater Noida, India. https://doi.org/10.1109/ICCCA49541.2020.9250907 

11. Pavuluri Lilly Maheepa, and Malaya Kumar Nath, “A technical survey on brain tumor segmentation using CNN”, 5th IEEE International Conference on Computing, Communication and Automation (ICCCA) 2020, 30-31st October 2020, Jointly Organised by Aurel Vlaicu University of Arad, Romania & Galgotias University, Greater Noida, India. https://doi.org/10.1109/ICCCA49541.2020.9250923 

12. N. S. Sai Srinivas, N. Sugan, L. S. Kumar, Malaya Kumar Nath, and Aniruddha Kanhe, “Digital architecture for instantaneous V/UV/S classification of noise free speech segments”, 23-25th July, 24th International Symposium on VLSI Design and Test (VDAT) 2020, Bhubaneswar, India. https://doi.org/10.1109/VDAT50263.2020.9190224 

13. Duggani Keerthana, and Malaya Kumar Nath, "A technical review report on deep learning approach for skin cancer detection and segmentation",International Conference on Data Analytics and Management (ICDAM-2020), Jan Wyzykowski University, Poland & B.M. Institute of Engineering & Technology, India, 18th June, 2020. https://doi.org/10.1007/978-981-15-8335-3_9

2019

14. Poonguzhali Elangovan, Malaya Kumar Nath, and Madhusudhan Mishra, “Statistical parameters for glaucoma detection from color fundus images”, Third International Conference on Computing and Network Communications (CoCoNet’19) December 2019 – Published in Procedia Computer Science, Kerla, vol. 171, June 2020, pp. 2675-2683. https://doi.org/10.1016/j.procs.2020.04.290 

15. Y. Prajna, and Malaya Kumar Nath, “A survey of semantic segmentation on bio-medical images using deep learning”, 2nd International Conference on VLSI, Communication and Signal Processing (VCAS) 2019, 21-23 October 2019, vol. 683, pp. 347-357 (Published in Advances in VLSI, Communication and Signal Processing, Lecture Notes in Electrical Engineering, Springer, Singapore, Ch. No: 26), NIT Allahabad, Prayagraj, India. https://doi.org/10.1007/978-981-15-6840-4_27 

16. D. Vijayalakshmi, and Malaya Kumar Nath, “A compendious analysis of advances in HE methods for contrast enhancement”, 2nd International Conference on VLSI, Communication and Signal Processing (VCAS) 2019, 21-23 October 2019, vol. 683, pp. 325-346 (Published in Advances in VLSI, Communication and Signal Processing, Lecture Notes in Electrical Engineering, Springer, Singapore, Ch. No: 26), NIT Allahabad, Prayagraj, India. https://doi.org/10.1007/978-981-15-6840-4_26 

2018

17. Malaya Kumar Nath, “Person identification from retinal fundus images using HMM in multi-scale domain”, India International Science Festival, Young Scientists’ Conference (YSC) 2018, Theme- Frontier Areas of Science (YSC 11690), Lucknow, 5th-8th October 2018. 

18. Poonguzhali Elangovan, G. Ravichandran, Malaya Kumar Nath, and Om Prakash Achrya, "Review on localization of optic disc in retinal fundus image", IEEE International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC) 2018, 22-24 October 2018, vol *, pp. 1-7, Organized by KIIT Bhubaneswar, India. https://doi.org/10.1109/AESPC44649.2018.9033304 

19. N. Sugan, N. S. Sai Srinivas, Niladri Kar, L. S. Kumar, Malaya Kumar Nath, and Aniruddha Kanhe, "Performance comparison of different cepstral features for speech emotion recognition", International CET Conference on Control, Communication, and Computing (IC4) 2018, 05-07 July 2018, vol. *, pp. 266-271, Organized by College of Engineering Thiruvananthapuram, India.  https://doi.org/10.1109/CETIC4.2018.8531065 

20. N. S. Sai Srinivas, N. Sugan, L. S. Kumar, Malaya Kumar Nath, and Aniruddha Kanhe, "Speaker-independent Japanese isolated speech word recognition using TDRC features", International CET Conference on Control, Communication, and Computing (IC4) 2018, 05-07 July 2018, vol. *, pp. 278-283, Organized by College of Engineering Thiruvananthapuram, India. 05-07 July 2018. https://doi.org/10.1109/CETIC4.2018.8530947 

2016

21. Manoj Kumar, Manikandan, and Malaya Kumar Nath, “Detection of microaneurysms and exudates from color fundus images by using SBGFRLS algorithm”, International Conference on Informatics and analytics (ICIA) 2016 (PEC Puducherry, India), pp. 1-6, 25th – 26th August 2016. https://doi.org/10.1145/2980258.2980337 

2012

22. Rohan Prasad, Malaya Kumar Nath and Samarendra Dandapat, “Rule based expert system for automatic diagnosis of DR from color fundus images”, Proceedings of the AISC-2012 (IIT BHU, India), 7th-9th December 2012.

23. J. P. Medhi, Malaya Kumar Nath, and Samarendra Dandapat, “Automatic grading of macular degeneration from colour fundus images”, Proceedings of the 2012 World congress on Information and communication Technologies (WICT), 30th Oct – 2nd November 2012. https://doi.org/10.1109/WICT.2012.6409131

24. Malaya Kumar Nath, and Samarendra Dandapat, “Feature detection from colour fundus images by wavelet ICA”, Medimage (IIT Delhi, India), December 2012.

2009

25. Malaya Kumar Nath, "Independent component analysis of real data", Seventh International Conference on Advances in Pattern Recognition (ICAPR) 2009, 04-06 February 2009, vol. *, pp. 149-152, Organized by ISI Calcutta, India. Online: 2009.  https://doi.org/10.1109/ICAPR.2009.110 

26. Atif Sharif, Rana Fayaz Ahmed, Malaya Kumar Nath, Vidyasagar M. Potdar, Jaipal Singh, and Yan Yang, "Processing of low-level signals in mixed-signal environment a hardware design for better performance", 2009 International Conference on Network-based Information Systems, 19-21 August 2009, vol. *, pp. 597-602, Organized by Indianapolis, Indiana, USA.  https://doi.org/10.1109/NBiS.2009.38 

2008

27. Malaya Kumar Nath, and J. S. Sahambi, "Independent component analysis of functional MRI Data", IEEE Region 10 Conference TENCON 2008, 19 - 21 November 2008, vol. *, pp. 1-6, Organized at Hyderabad, India. Online: 2008.  https://doi.org/10.1109/TENCON.2008.4766666