Devanjali Relan
Devanjali Relan
BML Munjal University, India
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Cited by
Cited by
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
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
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
Stress classification using brain signals based on LSTM network
N Phutela, D Relan, G Gabrani, P Kumaraguru, M Samuel
Computational Intelligence and Neuroscience 2022 (1), 7607592, 2022
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
Biosignal denoising via wavelet thresholds
P Kumar, D Agnihotri
IETE journal of Research 56 (3), 132-138, 2010
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
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
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
Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures
D Relan, R Relan
Computer methods and programs in biomedicine 199, 105894, 2021
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
Security threat sounds classification using neural network
S Agarwal, K Khatter, D Relan
2021 8th International Conference on Computing for Sustainable Global …, 2021
Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation
D Relan, R Relan
Biomedical engineering letters 8, 59-68, 2018
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
EEG based stress classification in response to stress stimulus
N Phutela, D Relan, G Gabrani, P Kumaraguru
International Conference on Artificial Intelligence and Speech Technology …, 2021
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
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
An automatic AVR biomarker assessment system in retinal imaging
D Relan, M Mokan, R Relan
Multimedia Tools and Applications 82 (23), 36553-36575, 2023
Blockchain based Solution for Electricity Supply Chain in Smart Grids
D Relan, K Khatter, N Nagpal
Applications of Big Data and Artificial Intelligence in Smart Energy Systems …, 2023
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
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