Jeny Rajan
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Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft‐tissue tumors in T1‐MRI images
J Juntu, J Sijbers, S De Backer, J Rajan, D Van Dyck
Journal of Magnetic Resonance Imaging: An Official Journal of theá…, 2010
Noise measurement from magnitude MRI using local estimates of variance and skewness
J Rajan, D Poot, J Juntu, J Sijbers
Physics in medicine & biology 55 (16), N441, 2010
Comprehensive framework for accurate diffusion MRI parameter estimation
J Veraart, J Rajan, RR Peeters, A Leemans, S Sunaert, J Sijbers
Magnetic resonance in medicine 70 (4), 972-984, 2013
Recent Advancements in Retinal Vessel Segmentation.
C L Srinidhi, P Aparna, J Rajan
Journal of medical systems 41 (4), 2017
An improved hybrid model for molecular image denoising
J Rajan, K Kannan, MR Kaimal
Journal of Mathematical Imaging and Vision 31 (1), 73-79, 2008
Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods
J Rajan, B Jeurissen, M Verhoye, J Van Audekerke, J Sijbers
Physics in Medicine & Biology 56 (16), 5221, 2011
Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images
J Rajan, J Veraart, J Van Audekerke, M Verhoye, J Sijbers
Magnetic Resonance Imaging 30 (10), 1512-1518, 2012
Speckle reduction in medical ultrasound images using an unbiased non-local means method
PV Sudeep, P Palanisamy, J Rajan, H Baradaran, L Saba, A Gupta, ...
Biomedical Signal Processing and Control 28, 1-8, 2016
Segmentation of intra-retinal cysts from optical coherence tomography images using a fully convolutional neural network model
GN Girish, B Thakur, SR Chowdhury, AR Kothari, J Rajan
IEEE journal of biomedical and health informatics 23 (1), 296-304, 2018
Iterative bilateral filter for Rician noise reduction in MR images
R Riji, J Rajan, J Sijbers, MS Nair
Signal, image and video processing 9 (7), 1543-1548, 2015
Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods
RO Panicker, KS Kalmady, J Rajan, MK Sabu
Biocybernetics and Biomedical Engineering 38 (3), 691-699, 2018
A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images
RO Panicker, B Soman, G Saini, J Rajan
Journal of medical systems 40 (1), 1-13, 2016
A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov–Smirnov test
J Rajan, J Arnold, J Sijbers
Signal processing 103, 16-23, 2014
A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework
AM Sharma, A Gupta, PK Kumar, J Rajan, L Saba, I Nobutaka, JR Laird, ...
Current Atherosclerosis Reports 17 (9), 1-13, 2015
Image denoising using wavelet embedded anisotropic diffusion (WEAD)
J Rajan, MR Kaimal
IET Digital Library, 2006
Enhancement and bias removal of optical coherence tomography images: an iterative approach with adaptive bilateral filtering
PV Sudeep, SI Niwas, P Palanisamy, J Rajan, Y Xiaojun, X Wang, Y Luo, ...
Computers in biology and medicine 71, 97-107, 2016
Nonlocal linear minimum mean square error methods for denoising MRI
PV Sudeep, P Palanisamy, C Kesavadas, J Rajan
Biomedical Signal Processing and Control 20, 125-134, 2015
Automated method for retinal artery/vein separation via graph search metaheuristic approach
CL Srinidhi, P Aparna, J Rajan
IEEE Transactions on Image Processing 28 (6), 2705-2718, 2019
An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images
J Rajan, J Van Audekerke, A Van der Linden, M Verhoye, J Sijbers
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1136-1139, 2012
Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach
J Rajan, K Kannan, C Kesavadas, B Thomas
Computerized Medical Imaging and Graphics 33 (7), 553-558, 2009
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