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Kamini Upadhyay

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2020 – today

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2023
[j4]
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Kamini Upadhyay, Monika Agrawal, Praveen Vashist:
Characteristic patch-based deep and handcrafted feature learning for red lesion segmentation in fundus images. Biomed. Signal Process. Control. 79(Part): 104123 (2023)
[j3]
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Kamini Upadhyay, Monika Agrawal, Praveen Vashist:
Learning multi-scale deep fusion for retinal blood vessel extraction in fundus images. Vis. Comput. 39(10): 4445-4457 (2023)
2021
[c3]
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Pratyush Garg, Rishabh Ranjan, Kamini Upadhyay, Monika Agrawal, Desh Deepak:
Multi-Scale Residual Network for Covid-19 Diagnosis Using Ct-Scans. ICASSP 2021: 8558-8562
2020
[j2]
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Kamini Upadhyay, Monika Agrawal, Praveen Vashist:
Unsupervised multiscale retinal blood vessel segmentation using fundus images. IET Image Process. 14(11): 2616-2625 (2020)
[j1]
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Kamini Upadhyay, Monika Agrawal, Desh Deepak:
Ensemble learning-based COVID-19 detection by feature boosting in chest X-ray images. IET Image Process. 14(16): 4059-4066 (2020)
[c2]
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Kamini Upadhyay, Monika Agrawal, Praveen Vashist:
U-Net based Multi-level Texture Suppression for Vessel Segmentation in Low Contrast Regions. EUSIPCO 2020: 1304-1308
[c1]
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Kamini Upadhyay, Monika Agrawal, Praveen Vashist:
Wavelet based Fine-to-Coarse Retinal Blood Vessel Extraction using U-net Model. SPCOM 2020: 1-5

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