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Lebina S. Kakkar
Lebina S. Kakkar
University College London
Diffusion MRI
Prostate
Nuclear magnetic resonance
protocol design
Artificial intelligence
4
Papers
6
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0
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Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging
2021
Frontiers of Physics in China
Francesco Grussu
Stefano B. Blumberg
Marco Battiston
Lebina S. Kakkar
Hongxiang. Lin
Andrada Ianus
Torben Schneider
Saurabh Singh
Roger Bourne
Shonit Punwani
David Atkinson
Claudia A. M. Wheeler-Kingshott
Eleftheria Panagiotaki
Thomy Mertzanidou
Daniel C. Alexander
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"Select and retrieve via direct upsampling" network (SARDU-Net): a data-driven, model-free, deep learning approach for quantitative MRI protocol design
2020
bioRxiv
Francesco Grussu
Stefano B. Blumberg
M Battiston
Lebina S. Kakkar
Hongxiang Lin
Andrada Ianus
Torben Schneider
Saurabh Singh
Roger Bourne
Shonit Punwani
David Atkinson
Claudia A. M. Wheeler-Kingshott
Eleftheria Panagiotaki
Thomy Mertzanidou
Daniel C. Alexander
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Characterization of B0-field fluctuations in prostate MRI.
2020
Physics in Medicine and Biology
Lebina S. Kakkar
Muhammad Usman
Simon R. Arridge
Alex Kirkham
David Atkinson
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Joint B0 and image estimation integrated with model based reconstruction for field map update and distortion correction in prostate diffusion MRI
2019
Magnetic Resonance Imaging
Muhammad Usman
Lebina S. Kakkar
Antonis Matakos
Alex Kirkham
Simon R. Arridge
David Atkinson
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Citations (2)
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