Devanjali Relan
Devanjali Relan
BML Munjal University, India
Verified email at ed-alumni.net
Title
Cited by
Cited by
Year
Retinal vessel classification: sorting arteries and veins
D Relan, T MacGillivray, L Ballerini, E Trucco
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
642013
Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature
E Trucco, L Ballerini, D Relan, A Giachetti, T MacGillivray, K Zutis, ...
2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics …, 2013
432013
Morphometric measurements of the retinal vasculature in fundus images with vampire
E Trucco, A Giachetti, L Ballerini, D Relan, A Cavinato, T MacGillivray, ...
Biomedical Image Understanding, 91-111, 2015
252015
Automatic retinal vessel classification using a least square-support vector machine in VAMPIRE
D Relan, T MacGillivray, L Ballerini, E Trucco
2014 36th annual international conference of the IEEE Engineering in …, 2014
232014
Biosignal denoising via wavelet thresholds
P Kumar, D Agnihotri
IETE journal of Research 56 (3), 132-138, 2010
212010
Novel genetic locus influencing retinal venular tortuosity is also associated with risk of coronary artery disease
A Veluchamy, L Ballerini, V Vitart, KE Schraut, M Kirin, H Campbell, ...
Arteriosclerosis, thrombosis, and vascular biology 39 (12), 2542-2552, 2019
122019
Retinal vessel classification based on maximization of squared-loss mutual information
D Relan, L Ballerini, E Trucco, T MacGillivray
Machine Intelligence and Signal Processing, 77-84, 2016
122016
Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels
D Relan, L Ballerini, E Trucco, T MacGillivray
Multimedia Tools and Applications 78 (10), 12783-12803, 2019
62019
Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation
D Relan, R Relan
Biomedical engineering letters 8 (1), 59-68, 2018
42018
Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures
D Relan, R Relan
Computer Methods and Programs in Biomedicine 199, 105894, 2021
12021
Retinal microvascular biomarkers are associated with incidence and progression of diabetic retinopathy in Type 2 diabetes: A GoDARTS-VAMPIRE study
TM Li, C Palmer, E Pearson, T MacGillivray, E Trucco, L Ballerini, R Wang, ...
DIABETIC MEDICINE 35, 29-29, 2018
12018
Effectiveness of Multi-fractal Analysis in Differentiating Subgroups of Retinal Images
D Relan, K Khatter
2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020
2020
Retinal Vessel Segmentation using Robinson Compass Mask and Fuzzy C-Means
K Khatter, D Relan, A Mishra
2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020
2020
Methodology for resume parsing and job domain prediction
V Mittal, P Mehta, D Relan, G Gabrani
Journal of Statistics and Management Systems 23 (7), 1265-1274, 2020
2020
Robustness of Fourier fractal analysis in differentiating subgroups of retinal images
D Relan, D Jain, V Mittal
Journal of Discrete Mathematical Sciences and Cryptography 22 (2), 101-111, 2019
2019
Effect of Vessel Segmentation on Box-Counting Fractal Analysis of Retinal Images
D Relan, V Mittal
Bhagwan Parshuram Institute of Technology, 66, 2018
2018
Novel locus influencing retinal venular tortuosity is also associated with risk of coronary artery disease
A Veluchamy, L Ballerini, V Vitart, KE Schraut, M Kirin, H Campbell, ...
BioRxiv, 121012, 2018
2018
Discovery of retinal biomarkers for vascular conditions through advancement of artery-vein detection and fractal analysis
D Relan
The University of Edinburgh, 2016
2016
Retinal Vessel Classification In Fundus Imaging Using VAMPIRE For Biomarker Identification
D Relan, T MacGillivray, C Gray, L Ballerini, E Trucco
NRS (NHS Research Scotland) Conference, 2013
2013
DE-NOISING OF ECG SIGNAL AND MRI IMAGE USING WAVELET TRNSFORM
D AGNIHOTRI
TD172;, 2006
2006
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