Dr. Anusha Achuthan
![]() |
University Lecturer | ||||
BSc. (Computer Sciences) USM | |||||
MSc. (Computer Vision & Image Processing) USM | |||||
PhD (Computer Vision & Image Processing) USM | |||||
|
|||||
anusha @ usm.my | |||||
Tel: (+6) 04-562 2031 | |||||
Research Interests: | |||||
Computer Vision, Image Processing, Medical Image Analysis, |
|||||
{tab= Expertise}
Knowledge-guided brain image segmentation, Medical image processing and analysis, Hippocampus segmentation and Alzheimer
Medical Physics
{tab=Publication}
A Achuthan, M Rajeswari (2015), Hippocampus segmentation using locally weighted prior based level set, Proc. of SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), Singapore, December 9.
A Achuthan, M Rajeswari, W Mar S Jalaluddin (2013), Hippocampus Localization Guided by Coherent Point Drift Registration Using Assembled Point Set, Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8073 LNAI, pp. 92-102.
A Achuthan, M Rajeswari, D Ramachandram, ME Aziz, IL Shuaib (2010) , Wavelet energy-guided level set-based active contour: A segmentation method to segment highly similar regions, Computers in biology and medicine, 40 (7), 608-620.
A Achuthan, M Rajeswari, D Ramachandram, ME Aziz, I Lutfi (2009), Wavelet Energy Guided Level Set for Segmenting Highly Similar Regions in Medical Images, 2nd International Conference on Biomedical Engineering and Informatics (BMEI'09), Tianjin, 17-19 October 2009.
A Achuthan, M Rajeswari, D Ramachandram (2006), Detection of Secondary Structure in Medical Images using Wavelet and Watershed, The 2nd Distributed Frameworks for Multimedia Applications, Pulau Pinang, May 2006.
{tab=Research Grant}
{tab=Student Supervision}
{tab= Academic Recognition}
Professional Bodies:
1. International Society for Magnetic Resonance in Medicine (ISMRM)
2. Institute of Electrical and Electronics Engineers (IEEE)
Awards:
1. Best Presentation, A Locally Integrated Shape-based Level Set Model for Segmenting Small Subcortical Brain Structures, International Conference on Digital Image Processing 2017 (ICDIP 2017), Hong Kong.
Patents: -
- Last updated on .
- Hits: 3865