J
Jeny Rajan
Researcher at National Institute of Technology, Karnataka
Publications - 89
Citations - 1837
Jeny Rajan is an academic researcher from National Institute of Technology, Karnataka. The author has contributed to research in topics: Noise reduction & Computer science. The author has an hindex of 21, co-authored 75 publications receiving 1355 citations. Previous affiliations of Jeny Rajan include University of Antwerp & Nest Labs.
Papers
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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
TL;DR: To study, from a machine learning perspective, the performance of several machine learning classifiers that use texture analysis features extracted from soft‐tissue tumors in nonenhanced T1‐MRI images to discriminate between malignant and benign tumors.
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Recent Advancements in Retinal Vessel Segmentation
TL;DR: A systematic review of the most recent advancements in retinal vessel segmentation methods published in last five years is carried out and provides an insight into active problems and possible future directions towards building successful computer-aided diagnostic system.
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Noise measurement from magnitude MRI using local estimates of variance and skewness
TL;DR: Experimental results on synthetic and real MR image datasets show that the proposed estimators accurately estimate the noise level in a magnitude MR image, even without background data.
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Comprehensive framework for accurate diffusion MRI parameter estimation.
TL;DR: This work presents a generic diffusion model fitting framework that considers some statistics of diffusion MRI data, and demonstrates that the accuracy of that particular estimator can generally be preserved, regardless of the applied preprocessing steps, if the noise parameter is known a priori.
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Speckle reduction in medical ultrasound images using an unbiased non-local means method
P.V. Sudeep,Ponnusamy Palanisamy,Jeny Rajan,Hediyeh Baradaran,Luca Saba,Ajay Gupta,Jasjit S. Suri +6 more
TL;DR: A new approach based on non-local means (NLM) method is proposed to remove the speckle noise in the US images, which outperforms other related well-accepted methods, both in terms of objective and subjective evaluations.