Medical Image Processing

S.No
International Journal - Research Title
1

Kumaravel, N., Kavitha, V., (1994) ' Automatic Diagnosis of Neuro-muscular diseases      using Neural Network' ,     Biomed. Sci. Instrum., 1994, Vol-30,   pp 245-250.

2

S.Sasikala and N.Kumaravel,(2000)‘Optimal Auto Regressive Model based Medical Image Compression using Genetic Algorithm’, Biomed. Sci. Instrum.,2000, Vol-36 ,pp 110-115.

3

S.Sridhar and N.Kumaravel,(2001) ‘Automatic Segmentation of Medical Images for  Renal   Calculi Analysis’, Biomed. Sci. Instrum.,2001, Vol-37, pp 405-410.

4

S.Sridhar and N.Kumaravel  (2002), ‘Segmentation of Renal Calculi in Ultrasound images’, International Journal of Medical Informatics and Internet in Medicine, Volume 27,     Number 4, December 2002, pp 229-236.

5

 M.Sasikala and N.Kumaravel , ‘Segmentation of Brain MR images using modified Fuzzy C-means clustering with a genetically optimized approach’, International Journal of Biomedical Soft Computing and Human Scieces, Vol 12 No.1 , pp 59-68, 2007

6

 M.Sasikala and N.Kumaravel, ‘ A wavelet based optimal texture feature set for classification of brain tumours’, International Journal of Medical Engineering and Technology,2007,1-8

7

M.Sasikala and N.Kumaravel,’ A comparative analysis of feature based image fusion methods’, Journal of Information Technology, 6(8): 1224-1230, 2007

8

Nirmaldevi,S,   and  Kumaravel,N et al A novel segmentation method using multiresolution analysis with 3D visualization for X-ray coronary angiogram images.J Med Eng Technol. 2008 May-Jun;32(3):235-44.

9

Sasikala,s and Kumaravel, N , “ A wavelet-based optimal texture feature set for classification of brain tumours.    J Med Eng Technol. 2008  May-Jun;32(3):198-205.

10

.Kalpalatha Reddy, T and Kumaravel,N ‘Texture Analysis of Bone Images for Classification and Characterization of Bone Quality’. International Journal of Soft Computing, Vol 4(5),pp 223-238, 2009

11

Kalpalatha Reddy, T and Kumaravel,N ‘Segmentation and Classification of Jaw Bone CT Images Using Curvelet Based Texture Features’ Bangladesh Journal Medical Sciences, Vol 9, Issue 1. pp 33-43, Jan-Mar 2010

12

Kalpalatha Reddy, T and Kumaravel,N ‘Assessment of Trabecular Bone Texure from CT images by Multi-resolution Analysis and Classification using SVM’ International Journal on Oral Implantology and Clinical research, Vol 1, Issue 2, pp 13-18, May-August 2010

13

 Kalpalatha Reddy, T and Kumaravel,N ‘Jaw Bone Classification using Contourlets’ International Journal on Biomedical Engineering and Technology, Vol 4 , No 4, 2010

14

 Kalpalatha Reddy, T and Kumaravel,N ‘Wavelet based Texture Analysis and Classification of Bone Lesions from Dental CT’ International Journal of Medical Engineering and Informatics, Vol 2. No 3. 2010

15

 Kalpalatha Reddy, T and Kumaravel,N ‘ Multiresolution based Texture Analysis of Jaw Bone Lesions’ European Journal of Scientific Research, Vol 51, Issue 3, 2011

16

 Kalpalatha Reddy, T and Kumaravel,N ‘ Curvelet based Textue Parameters to Characterize changes in Jaw Bone with Age and Gender’International Journal of Tomography and Statistics, Vol 16, pp 30-40, Nov 2011

17

Palanivel J and Kumaravel,N ‘An efficient Breast cancer screening system based on Support Vector Machines with Fuzzy C Means clustering’ European Journal of scientific Research Vol 51, No 1, 2011  pp 115-123


S.No
International Conference - Research Title
1

S.Sridhar andN.Kumaravel, (2004), ‘Distributed data mining system for renal calculi & gallstones    data  analysis’ ICAIET 2004, august 3-5, Malaysia. Pp 596-602.

2

M.Sasikala and N.Kumaravel, (2004), ‘Optimal Feature Selection for detection of Malignant tumor  in Brain images’  ICAIET 2004, August 3-5, Malaysia. Pp 426430.

3

Nirmaladevi S .N.Kumaravel, and N.Sundar,’Matched filter approach for quantification of    narrowing coronary blood vessels’ ICCSA-2006, San Diego, California pp 208-212

4

Nirmaladevi,S., N.Kumaravel, and G.Valarmathi, ‘Improved  K-Means Algorithm for Vascular    Network Detection’, ICCSA-2006, San Diego, California pp 188-192.

5

Nirmaladevi S, N.Kumaravel, and G.Valarmathi, ‘K-Means Algorithm for Vascular    Network Detection’, International conference ISCO-2006 at Karpagam Engineering Colllege, CBE, p-70 (Abstarct only)

6

 S.Sasikala , N.Kumaravel. and et.al ,’Automatic tumour segmentation using optimal texture features’, International Conference on Advances in Medical Signal and information Processing Glasgow, UK, 17-19 July 2006

7

S.Sasikala , N.Kumaravel. and et.al , ‘Segmentation of Brain MR images using genetically guided clustering’, IEEE EMBS Annual International Conference, Newyork, USA, Aug 30- Sept 3, 2006

8

S.Sasikala  N.Kumaravel. and et.al , ‘Medical Image Fusion using Wavelet features’, ICAIET, University Malaysia Sabah, Kota Kinabalu, 22-24, November 2006. pp

9

S.Sasikala  N.Kumaravel. and et.al , ‘Multimodal Medical Image Fusion based on Lifting wavelet transform’, International conference on Information Processing, August 10-12, Bangalore 2007.

10

Kalpalatha Reddy,T and Kumaravel,N ‘Mutiscale assessment of Bone architecture and quality from CT images’ Proceedins of the 13th international conference on Biomedical Engineering, pp 144, December 3-6, 2008

11

 Kalpalatha Reddy,T and Kumaravel,N , ‘ Texture analysis of Bone CT images for detection of changes in Bone Mass and Structure’ Proceedings of 2nd International Conference on Biomedical Informatics and Signal Processing, pp31, March 13-15 , 2009.

12

 Kalpalatha Reddy,T and Kumaravel,N ‘Classification of Law Bone images using Multiresolution based texture features’, Proceedings of International Conference on Signals, Systems and Communication, pp274-278, December 21-23, 2009.


S.No
National Conference - Research Title
1

 N.Kumaravel, et.al.,(1998) 'Restoration of Medical Image Compressed in JPEG Format',    National Conference on Biomedical Engineering at Manipal Institute of Technology, Manipal April 9-11,1998, pp III 16-18.

2

.N.Kumaravel and P.Krishnamoorthy,(2000) ‘Perceptual Watermark for Medical Image    Authentication ‘, National Conference on Biomedical Engineering at University of   Roorkee, April 21-22,2000

3

N.Kumaravel , T.Kalaiselvi and J.Sheeba Jenifer, ‘Denoising Functional MR Images’ Proc of National Conference on Image Processing 2005 at MS Ramaiah School of Advanced   Studies, Bangalore, March 22-24, 2005.

4

N.Kumaravel and D.Mary Sugantharathnam, ‘Image Enhancement using Fusion’ Proc. Of   National Conference at Govt. College of Engineering, Trinelveli, 2005.

5

 N.Kumaravel and M.Selvam, ‘Efficient Volumetric Medical Image Compression using   Wavelet Transform with SPIHT algorithm’ Proc. Of national Conference on RecentTrends in Communication, NCRTC-2005, May12-13 , pp31 -36.

6

N.Kumaravel , M.Sasikala and Subashini, ‘Feature based segmentation of Malignant tumor in MRI Brain   Images’, Proc. Of National Conference on Signals, Systems and communication at CEG,   Anna university, 1-2 June 2005.

7

 S.NirmalaDevi  ,N.Kumaravel, and M.Sangeetha, ‘Wavelet based coronary blood vessel segmentation using Entropy segmentation’, National Conference on Microelectronics and Communication at SRMIST, march 2006, P 48-51.

8

 N.Kumaravel, S.NirmalaDevi and N.Sundar, ‘Quantitative analysis of Coronary angiographic images’, National Conference on Microelectronics and Communication at SRMIST, march 2006, P 66-70.

9

 N.Kumaravel, S.NirmalaDevi and Valarmathi, ‘Automatic segmentation of angiographic images using K-means algorithm’, NCCT-06 at MEPCO, March 2006, pp237-40

10

N.Kumaravel, Sasikala, Usha’, Feature Based Image Fusion’, JCECON-06, 7-8 April 2006

11

N.Kumaravel, S.NirmalaDevi and Dhalakshimi, ‘Blood vessel segmentation and Blood flow rate determination in Angiographic images’,NSSC-2006 at CEG , AU pp2