TKMIT Institute of Technology

Publications

  1. Sajith A.G, Dr.Hariharan S, “Medical Image Segmentation Using CT Scans-A Level Set Appraoch”, International Journal of Innovative Technology and Exploring          Engineering,Volume-2 Issue-6,2013.IF: 5.15–2017,UGC,google scholar, ISSN, DOAJDRJI, Research gate, etc.
  2. Sajith A.G, Dr.Hariharan S, “A Fast Level Set Algorithm for Liver Tumor     Segmentation”, International Journal of Engineering and Advanced Technology,Volume-      2 Issue-5,2013.IF 5.85,UGC,Copernicus,googlecholar,DOAJ,DRJI etc.
  3. Hariharan S, Sajith A.G “CT Liver Image Segmentation for the Detection and    Diagnosis of Cancer”, International Journal of Applied Engineering Research,Volume-8        Issue-9,2013.Scopus indexed, H index-13
  4. Hariharan S, Sajith A.G “A Fuzzy Image Processing System for the Analysis of Liver      CT Images”, International Journal of Applied Engineering Research,Volume-8 Issue-          12,2013. Scopus indexed, H index-13
  5. Sajith A.G, Dr.Hariharan S, “Spatial Fuzzy C-means Clustering based Liver and  Liver Tumor Segmentation on contrast Enhanced CT images”, International Journal of  Engineering and Advanced Technology,Volume-4,Issue-3,2015.IF 5.85, UGC, Copernicus, google scholar, DOAJ, DRJI etc.
  6. G ,Dr.Hariharan S, “Computer Aided Analysis of Liver Tumors from CT      Scans”, International Journal of Applied Engineering Research,Volume-10 Issue-      20,2015.Scopus indexed, H index-13
  7. Sajith A.G, Dr.Hariharan S, “Active Contour Based Liver Image Analysis”, International Journal of Advances in Engineering Research,Volume-9 Issue-4,2015.IF;3.43, Get Cited, copernicus, global education index, Open J gate
  8. Sajith A.G, Dr.Hariharan S, “A Region based Active contour Approach for Liver CT Image Analysis driven by local binary fitting Energy”, Imperial Journal of Interdisciplinary Research,Volume-2 Issue-4,2016.IF= 3.75
  9. Sajith A.G, Dr.Hariharan S, “Analysis of CT Liver Images Using Level Sets with Bayesian Analysis-A hybrid Approach”, International Journal for Research in Applied Science and Engineering Technology,Volume-4 Issue-3,2016.IF; 6.88,Google scholar index copernius, J.Gate
  10. Sajith A.G, Dr.Hariharan S, “A Region Based Active Contour Approach for Liver CT Image  Analysis Based on Fuzzy Energy Minimization”, International Journal of Scientific and   Engineering Research,Volume-7 Issue-5,2016.IF-3.8,Google scholar, EBSCO,UGC, DOAJ
  11. Sajith A.G, Dr.Hariharan S, “A Combined Global and Local Region Based Liver CT Image Segmentation-A Level Set Approach”, Karpagam Journal of Engineering and        Research,Volume-5 Issue-1,2016.
  12. Aruna N.S., Dr. Hariharan S., “Edge Detection of sickle cells in red blood cells”, International Journal of Computer Science and Information Technology, vol. 5 (3), pp4140-4144, 2014.IF-2.28, google scholar, Index Copernicus, J Gate etc
  13. Aruna N.S., Dr. Hariharan S., “SEM image analysis of Megaloblastic anemia”, International Journal of Science and Research, vol. 3(8), pp 1831-1834, August 2014.29, Research gate, Aademia.edu, semantic scholar etc
  14. S, Parvathy.B.H, Aruna.N.S, “A Pictorial Review and an Algorithm for the Determination of Sickle Cell Anemia”, International Journal of Engineering and Advanced Technology (IJEAT), Volume-5 Issue-2, December 2015.IF-5.85, UGC, Index-copernicus, Google scholar, DOAJ,DRJI etc.
  15. Hariharan.S, Parvathy.B.H, Aruna.N.S, “An overview of sickle cell anemia- a special emphasis on image processing of SEM images”, International Journal of Applied Engineering Research, vol. 11(1), pp 201-208, 2016.Scopus indexed, H index-13
  16. Parvathy B.H, Hariharan .S, Aruna N.S., “A Real Time System for the Analysis of Sickle Cell Anemia Blood Smear Images Using Image Processing”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 4, April 2016, IF-7.089, Google scholar, NCBI, science central, DRJI, Index Copernicus etc
  17. Hariharan.S, Aruna.N.S, “Wound image analysis of sickle cell anemia”, international Journal of Latest Trends in Engineering and Technology, vol. 7, issue 1, pp 45-51, 2016. IF-4.49, Google scholar, Index Copernicus, DOAJ, Cite factor.
  18. Hariharan.S, Aruna.N.S, Parvathy.B.H, “Leg ulcer wound image analysis of sickle cell anemia- a fuzzy thresholding based approach”, International journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 5, issue 7, July 2016.IF-6.392, Google scholar, Science central, Research bible, Get cited, DOAJ
  19. Hariharan.S, Aruna.N.S, Analysis of blood smear images of sickle cell anemia based on fuzzy filtering, International journal of Advanced Research,IF-6.896, Cite factor, Google scholar, Science gate, get cited
  20. Hariharan.S, Aruna.N.S, Analysis of blood smear images of sickle cell anemia based on wavelet Transform, International journal of Science and Research, Vol-5, issue-11, November 2016,pp1139-1143,IF-7.296, Sementic scholar,Research Gate, Ademia.edu
  21. Hariharan.S, Aruna.N.S, Pre-processing of sickle cell anemia images, International journal  Innovative Research in computer and communication engineering, Vol-4, Issue-11, November 2016,pp 19092-19099, IF-7.194,Googe scholar, Research bible, Get cited, DOAJ, Pro quest etc
  22. Deepesh Edwin and Dr. S. Hariharan,wavelet based segmentation International Journal of   Applied Engineering Research ISSN 0973-4562 Volume 11, Number 6 (2016) pp 4607-4614, Scopus indexed,  H-index-13
  23. Deepesh Edwin and Dr. S. Hariharan, Liver and tumour segmentation from abdominal CT images using adaptive threshold method , International journal of Biomedical Engineering and Technology,Vol-21, Ed-2, june-2016,pp190- 195,IF 0.75, SCOPUS(Elsavier)
  24. G, Hariharan.S, “White blood cell segmentation techniques in Microscopic images forLukemia detection”, IOSR journal of Dental and Medical Sciences, Vol-15, Issue-2 , pp45-51, February 2016.IF-5.164,J Gate, Google scholar, NASA etc
  25. G, Dr.S.Hariharan, “Leukocyte segmentation and classification techniques for Leukaemia detection” International journal of Electronics, Electrical and computational systems, vol-6, Issue5, May 2017, pp 242-252.
  26. P,Hariharan.S, “A Technique for the Detection of Cystic Focal Liver Lesions from Abdominal Images”, International journal of Engineering and advanced Technology, pp70-75, IF- 5.85, UGC, Index Copernicus, ISSN,DOAJ, open J Gate, etc
  27. P, Hariharan.S, “An improved feature based fusion technique for enhancement of liver lesions” Bio-cybernetics and Biomedical Engineering 2018, SCI Indexed, Accepted.
  28. Dr.Hariharan.S, “Developments in segmentation of abdominal CT images of cancer and other disease lesion detection” Vol-2, Issue-1,Feb 22  , Annuals of Advanced biomedical sciences,  USA 2019, pp1-13
  1. G ,Dr.Hariharan S, “Computer Aided Analysis of Liver Tumors from CT Scans”, DRDO Sponsored II IEEE International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS 2015).
  2. Sajith A.G ,Dr.Hariharan S, “Spatial Fuzzy C means clustering Based Segmentation on CT Images”,  II IEEE International Conference on Electronics and Communication Systems (ICECS 2015).
  3. G ,Dr.Hariharan S, “A Combined Global and Local Region Based Liver CT Image Segmentation-A Level Set Approach”, IEEE Sponsored III  International Conference on Innovations in Information, Embedded and Communication Systems (    ICIIECS 2016).
  4. Hariharan, A.K.Ray and M.K.Ghosh, “An algorithm for the enhancement of chest x-ray images of tuberculosis patients” International conference on Industrial Technology, IEEE ICIT, pp19-22, January 2000.
  5. Hariharan, M.K.Ghosh and A.K.Ray, “A Texture based image analysis algorithm for the classification of Biomedical images” International conference on Mathematical     modeling of non-linear systems, Department of Mathematics, Indian Institute of Technology, Kharagpur, pp 9-11, December 1999.
  6. Aruna N. S., Dr. Hariharan S., “Colour Image analysis of Leg ulcer” 2nd IEEE international conference on Knowledge collaboration in Engineering (ICKCE 2015).
  1. Hariharan, A.K.Ray and M.K.Ghosh, “A texture based algorithm for the analysis of Biomedical images” National conference on Biomedical Engineering, Department of Electrical Engineering, Indian Institute of Technology, Roorkee and Institution of    Engineers India,pp25-27,April 2000.
  2. Hariharan, A.K.Ray and M.K.Ghosh, “A texture based image analysis technique for       classification of chest x-ray images” National conference on Networking of Machines,             Microprocessors, Information Technology and HRD- Need of the Nation in the next     Millennium, Government Engineering College Kalyani, West Bengal, pp25-26,     November 1999.
  3. Hariharan, A.K.Ray and M.K.Ghosh, “Segmentation of chest x-ray images of Tuberculosis patients” National Conference, PeriyarManiammai College of Technology          for women, Vallam, Thanjavoor, Tamilnadu, pp98-104, September 1999.
  4. Hariharan, A.K.Ray and M.K.Ghosh , “Classification of chest x-ray images using Texture spectrum” National seminar on Information Technology for rural development, IEEE Calcutta Section and University of Burdwan, West Bengal, pp22-30, September 1999.
  5. Hariharan, A.K.Ray and M.K.Ghosh, “Segmentation of chest x-ray images of tuberculosis pati.of technology Banaras Hindu University and System society of India, Allied Publishers, Utter Pradesh, pp9-11, December 1999.
  6. Hariharan, A.K.Ray and M.K.Ghosh“Texture analysis of chest x-ray images for the classification of tuberculosis”Nationalconference,Regional Engineering College Durgapur and Indian Society for Technical Education, West Bengal, pp13-18, November 1999.
  7. Hariharan, A.K.ray and M.K.Ghosh“Texture analysis of chest x-ray images for the classification of Tuberculosis using co-occurrence matrix method” National seminar on new perspectives and prospects for Technical Education, kerala, pp6-12, January 2000.
  8. Hariharan, A.K.Ray and M.K.Ghosh“A texture based segmentation technique for the analysis of chest x-ray images of tuberculosis patients” IEEE India council and Kerala section,pp16-21,December 1999.
  9. S.Hariharan and S.Monikantan“A Texture based computer aided technique for the analysis of radiographic images” The Second National conference on Power conversion and Industrial control, pp71-75, July 2001
  • Hariharan.S, Sajith.A.G”CT Liver Image Analysis-A Level Set Approach”, Computer and Information Technology, Research India Publications-2016.
  • N.S, Hariharan.S, “A level set based segmentation for the detection of Megaloblastic  anemia  in red blood cells “Springer Nature Singapore Pte Ltd, 2018, Y.C.Hu etal. (Eds) Intelligent communication and computational Technologies, Lecture notes in Networks and systems, Vol-19.
  • P. Sreeja, S.Hariharan. “Image analysis for the detection and diagnosis of  Hepatocellular carcinoma from abdominal CT images” Springer Nature Singapore Pte Ltd, 2018, Y.C.Hu etal. (Eds) Intelligent communication and computational Technologies, Lecture notes in Netwoks and systems,Vol- 19,pp107-117
  • Invitation received for taking Plenary lecture  in 4th World Congress on Medical Imaging and clinical research, 3-4, September  2018, LONDON,  U.K
  • Invitation received for taking Honorary lecture in 28th  Euro congress on  cancer science and therapy MARCH  7-8, 2019,  Barcelona, Spain, LONDON, U. K
  • Invitation received for Taking invited lecture in Advanced Biomedical Engineering and Instrumentation Summit – 2019, June 3-5, 2019, Sanfransisco, USA.
  • Selected and invited for this year international conference on Infectious diseases,  HIV and AIDS which will be held at the SAP conference centre Washington DC United states from  21st  to 30th April  2019.The conference is organised by  the  European  society for paediatric infectious diseases and US Department of health and human services in collaboration with the centres for disease control and prevention.

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TKMIT Institute of Technology
TKMIT Institute of Technology