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 | 25 | 2021 |
Unsupervised multiscale retinal blood vessel segmentation using fundus images K Upadhyay, M Agrawal, P Vashist IET Image Processing 14 (11), 2616-2625, 2020 | 21 | 2020 |
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 | 17 | 2014 |
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 | 9 | 2020 |
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 | 6 | 2020 |
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 | 4 | 2023 |
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 | 4 | 2021 |
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 | 1 | 2023 |
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 | | |