Yashwant Kurmi

Materials ScienceMedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Machine learning‐based amide proton transfer imaging using partially synthetic training data”.

Machine learning‐based amide proton transfer imaging using partially synthetic training data

Magnetic Resonance in Medicine(2023)10.1002/mrm.29970

N/A

0.373DataRank · unranked

11 citations

Leqi Yin, Yashwant Kurmi, Zhongliang Zu, Malvika Viswanathan

Nuclear Overhauser enhancement imaging at −1.6 ppm in rat brain at 4.7T

Magnetic Resonance in Medicine(2023)10.1002/mrm.29896

N/A

0.312DataRank · unranked

7 citations

Yashwant Kurmi, Zhongliang Zu, Malvika Viswanathan

A rapid method for phosphocreatine‐weighted imaging in muscle using double saturation power‐chemical exchange saturation transfer

NMR in Biomedicine(2023)10.1002/nbm.5089

N/A

0DataRank · unranked

9 citations

Yashwant Kurmi, Zhongliang Zu, Malvika Viswanathan

Enhancing amide proton transfer imaging in ischemic stroke using a machine learning approach with partially synthetic data

NMR in Biomedicine(2024)10.1002/nbm.5277

N/A

0DataRank · unranked

5 citations

Leqi Yin, Yashwant Kurmi, Aqeela Afzal, Zhongliang Zu, Malvika Viswanathan

Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder

Magnetic Resonance in Medicine(2024)10.1002/mrm.30228

N/A

0DataRank · unranked

4 citations

Malvika Viswanathan, Zhongliang Zu, Yashwant Kurmi

Denoising Low‐Power CEST Imaging Using a Deep Learning Approach With a Dual‐Power Feature Preparation Strategy

Magnetic Resonance in Medicine(2025)10.1002/mrm.70124

N/A

0DataRank · unranked

1 citations

Malvika Viswanathan, Leqi Yin, You Chen, Xiaoyu Jiang, Junzhong Xu +2 more