Author

L. S. Kakkar

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Bioengineering· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Ianus· 1 shared C. A. M. Gandini Wheeler-kingshott· 1 shared D. Atkinson· 1 shared D. C. Alexander· 1 shared E. Panagiotaki· 1 shared F. Grussu· 1 shared H. Lin· 1 shared M. Battiston· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

A. Ianus

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1 paper

Recent·Most cited

"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, L. S. Kakkar, H. Lin, A. Ianus, T. Schneider, S. Singh, R. Bourne, S. Punwani, D. Atkinson, C. A. M. Gandini Wheeler-kingshott, E. Panagiotaki, T. Mertzanidou, 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.

bioRxiv · May 26, 2020 · PreprintBioengineering