Room ECED-2 : 307
Email sudeep.pv@nitc.ac.in
Office Phone 04952286733
Mobile 09496370647
Areas Of Interest Medical Image Analysis, Machine Learning, Deep Learning
  • Sudeep, P.V., Palanisamy, P., Kesavadas, C. and Rajan, J., 2018. An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels. Pattern Recognition Letters (In Press, Online).
  • Girish, G.N., Anima, V.A., Kothari, A.R., Sudeep, P.V., Roychowdhury, S. and Rajan, J., 2018. A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. Computer methods and programs in biomedicine153, pp.105-114.
  • Sudeep, P.V., Palanisamy, P., Kesavadas, C., Sijbers, J., Arnold, J. and Rajan, J., 2017. A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. Signal, Image and Video Processing11(5), pp.913-920.
  • Sudeep, P.V., Palanisamy, P., Rajan, J., Baradaran, H., Saba, L., Gupta, A. and Suri, J.S., 2016. Speckle reduction in medical ultrasound images using an unbiased non-local means method. Biomedical Signal Processing and Control28, pp.1-8.
  • Sudeep, P.V., Niwas, S.I., Palanisamy, P., Rajan, J., Xiaojun, Y., Wang, X., Luo, Y. and Liu, L., 2016. Enhancement and bias removal of optical coherence tomography images: an iterative approach with adaptive bilateral filtering. Computers in biology and medicine71, pp.97-107.
  • Sudeep, P.V., Palanisamy, P., Kesavadas, C. and Rajan, J., 2015. Nonlocal linear minimum mean square error methods for denoising MRI. Biomedical Signal Processing and Control20, pp.125-134.
  • Sudeep, P.V., Palanisamy, P. and Rajan, J., 2013, December. A hybrid model for Rician noise reduction in MRI. In Advanced Computing, Networking and Security (ADCONS), 2013 2nd International Conference on (pp. 56-61). IEEE.

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