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| 1 | Neural networks aided stone detection in thick slab MRCP images显示文摘 | Rajasvaran Logeswaran | 2006 | Medical & Biological Engineering & Computing2006，，8： | 1 |
| 2 | The role of PET/CT in the management of cervical cancer显示文摘 | Mirpour S Mhlanga JC Logeswaran P | 2013 | AJR Am J Roentgenol2013，201，2： | 1 |
| 3 | Radial basis neural network for lossless data compression 显示文摘 | LOGESWARAN R ESWARAN C | 2002 | International Journal of Computers and Applications2002，24，1： | 1 |
| 4 | Enhanced delivery of microRNA mimics to cardiomyocytes usingultrasound responsive microbubbles reverses hypertrophy in an in-vitro model显示文摘 | Sarah-Louise Gill Hugh O’Neill Ryan J. McCoy Suhanniya Logeswaran Fiona O’Brien Alice Stanton Helena Kelly Garry P. Duffy | 2013 | Technology and Health Care2013，，： | 1 |
| 5 | Neural network based lossless coding schemes for telemetry data显示文摘 | LOGESWARAN R ESWARAN C | 1999 | Proc IEEE Int Geosciences Remote Sensing Symp1999，4，1： | 1 |
| 6 | Performance survey of several lossless compression algorithms for telemetry application显示文摘 | LOGESWARAN R ESWARAN C | 2001 | Computer Application2001，22，1： | 1 |
| 7 | Radial basis neural network for lossless data compression显示文摘 | LOGESWARAN R ESWARAN C | 2002 | Computer Application2002，24，1： | 1 |
| 8 | A visual probe localization and calibration sys- tem for cost effective computer-aided 3D ultrasound显示文摘 | Ali A Logeswaran R | 2007 | Comput Biol Med2007，37，： | 1 |
| 9 | Stone detection in MRCP images using controlled region growing显示文摘 | RAJASVARAN LOGESWARAN CHIKKANNAN ESWARAN | 2007 | Computers in Biology and Medicine2007，37，8： | 1 |
| 10 | Customizable wireless remote control for collabora- tive medical diagnosis and Teaching 显示文摘 | Logeswaran R | 2009 | J Med Syst2009，33，： | 1 |
| 11 | Customizable wireless remote control for collaborative medical diagnosis and Teaching显示文摘 | Logeswaran R | 2009 | J Med Syst2009，33，： | 1 |
| 12 | Magnetic resonance cholangiopancreatography image enhancement for automatic disease detection显示文摘AIM:To sufficiently improve magnetic resonance cholangiopancreatography(MRCP) quality to enable reliable computer-aided diagnosis(CAD).METHODS:A set of image enhancement strategies that included filters(i.e.Gaussian,median,Wiener and Perona-Malik),wavelets(i.e.contourlet,ridgelet and a non-orthogonal noise compensation implementation),graph-cut approaches using lazy-snapping and Phase Unwrapping MAxflow,and binary thresholding using a fixed threshold and dynamic thresholding via histogram analysis were implemented to overcome the adverse characteristics of MRCP images such as acquisition noise,artifacts,partial volume effect and large inter-and intra-patient image intensity variations,all of which pose problems in application development.Subjective evaluation of several popular pre-processing techniques was undertaken to improve the quality of the 2D MRCP images and enhance the detection of the significant biliary structures within them,with the purpose of biliary disease detection.RESULTS:The results varied as expected since each algorithm capitalized on different characteristics of the images.For denoising,the Perona-Malik and contourlet approaches were found to be the most suitable.In terms of extraction of the significant biliary structures and removal of background,the thresholding approaches performed well.The interactive scheme performed the best,especially by using the strengths of the graphcut algorithm enhanced by user-friendly lazy-snapping for foreground and background marker selection.CONCLUSION:Tests show promising results for some techniques,but not others,as viable image enhancement modules for automatic CAD systems for biliary and liver diseases. | Rajasvaran Logeswaran | 2010 | World Journal of Radiology2010，2，7： | 0 |
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