Author

S. Punwani

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

E. Panagiotaki· 2 shared A. Ianus· 1 shared C. A. M. Gandini Wheeler-kingshott· 1 shared D. Atkinson· 1 shared D. C. Alexander· 1 shared E. Chiou· 1 shared F. Giganti· 1 shared F. Grussu· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioengineering

E. Panagiotaki

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintFeb 16, 2021

Synthesizing VERDICT maps from standard DWI data using GANs

E. Chiou, V. Valindria, F. Giganti…·E. Panagiotaki

This study synthesizes VERDICT maps from standard DWI data using GANs, showing strong correlation between synthetic and real maps for tumor area quantification.

DOI 10.1101/2021.02.16.431521

imagingdeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintMay 26, 2020

"Select and retrieve via direct upsampling" network (SARDU-Net): a data-driven, model-free, deep learning approach for quantitative MRI protocol design

F. Grussu, S. B. Blumberg, M. Battiston…·D. C. Alexander

SARDU-Net is a deep learning framework for designing quantitative MRI protocols by selecting informative measurements from pilot scans, achieving high information content and reproducibility.

DOI 10.1101/2020.05.26.116491

humanimaging

𝕏 PostBluesky