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Kamini Upadhyay
Kamini Upadhyay
Research Scholar at IIT Delhi, India
Verified email at care.iitd.ac.in
Title
Cited by
Cited by
Year
Multi-scale residual network for covid-19 diagnosis using ct-scans
P Garg, R Ranjan, K Upadhyay, M Agrawal, D Deepak
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
252021
Unsupervised multiscale retinal blood vessel segmentation using fundus images
K Upadhyay, M Agrawal, P Vashist
IET Image Processing 14 (11), 2616-2625, 2020
212020
Optimal design of Weighted Least Square based fractional delay FIR filter using Genetic Algorithm
K Upadhyay, M Kumar, TK Rawat
2014 International Conference on Signal Propagation and Computer Technology …, 2014
172014
Ensemble learning‐based COVID‐19 detection by feature boosting in chest X‐ray images
K Upadhyay, M Agrawal, D Deepak
IET Image Processing 14 (16), 4059-4066, 2020
92020
Wavelet based fine-to-coarse retinal blood vessel extraction using U-net model
K Upadhyay, M Agrawal, P Vashist
2020 International Conference on Signal Processing and Communications (SPCOM …, 2020
62020
Characteristic patch-based deep and handcrafted feature learning for red lesion segmentation in fundus images
K Upadhyay, M Agrawal, P Vashist
Biomedical Signal Processing and Control 79, 104123, 2023
42023
U-Net based multi-level texture suppression for vessel segmentation in low contrast regions
K Upadhyay, M Agrawal, P Vashist
2020 28th European signal processing conference (EUSIPCO), 1304-1308, 2021
42021
Learning multi-scale deep fusion for retinal blood vessel extraction in fundus images
K Upadhyay, M Agrawal, P Vashist
The Visual Computer 39 (10), 4445-4457, 2023
12023
Blood vessel and red lesion segmentation for early diabetic retinopathy screening
K Upadhyay
Delhi, 0
Early Detection of Oral Cancer with White Light Images: A Novel Segmentation Approach
S Sagar, D Sharma, M Agrawal, D Mehrotra, K Upadhyay, S Rai, A Chugh
Available at SSRN 4010446, 0
Early Diagnosis of Retinal Diseases
M Aggarwal, A Sharma, K Upadhyay
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Articles 1–11