Jeny Rajan
TitleCited byYear
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
992010
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
772013
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
762008
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
702010
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
662011
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
602012
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
362016
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
342015
Image denoising using wavelet embedded anisotropic diffusion (WEAD)
J Rajan, MR Kaimal
IET Digital Library, 2006
322006
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
312014
Recent advancements in retinal vessel segmentation
CL Srinidhi, P Aparna, J Rajan
Journal of medical systems 41 (4), 70, 2017
292017
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), 17, 2016
262016
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
202012
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
192015
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
182016
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
182009
Carotid inter‐adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis
L Saba, T Araki, P Krishna Kumar, J Rajan, F Lavra, N Ikeda, AM Sharma, ...
Journal of Clinical Ultrasound 44 (4), 210-220, 2016
152016
Speckle Reduction in Images with WEAD and WECD
J Rajan, MR Kaimal
Computer Vision, Graphics and Image Processing, 184-193, 2006
152006
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
142015
Robust edge-directed interpolation of magnetic resonance images
Z Mai, J Rajan, M Verhoye, J Sijbers
Physics in Medicine & Biology 56 (22), 7287, 2011
132011
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Articles 1–20