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    <issue>61</issue>
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    <title language="eng">Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: An alternative to conventional spiral MR Fingerprinting</title>
    <parentTitle language="eng">Magnetic Resonance Imaging</parentTitle>
    <identifier type="issn">0730-725X</identifier>
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    <author>
      <first_name>Arnold Julian Vinoj</first_name>
      <last_name>Benjamin</last_name>
    </author>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <author>
      <first_name>Zaid</first_name>
      <last_name>Bin Mahbub</last_name>
    </author>
    <author>
      <first_name>Tim</first_name>
      <last_name>Sprenger</last_name>
    </author>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <author>
      <first_name>Ian</first_name>
      <last_name>Marshall</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cartesian MRF</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>multi-shot EPI</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>quantitative maps</value>
    </subject>
    <collection role="persons" number="44549">Menzel, Marion</collection>
  </doc>
  <doc>
    <id>1887</id>
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    <publishedYear>2019</publishedYear>
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    <language>eng</language>
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    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
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    <completedDate>2022-03-09</completedDate>
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    <title language="eng">Geometry of Deep Learning for Magnetic Resonance Fingerprinting</title>
    <parentTitle language="eng">ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</parentTitle>
    <identifier type="isbn">978-1-5386-4658-8</identifier>
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    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <author>
      <first_name>Dongdong</first_name>
      <last_name>Chen</last_name>
    </author>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>magnetic resonance fingerprinting</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>inverse problem</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>dictionary</value>
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    <subject>
      <language>eng</language>
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      <value>manifold compressed sensing</value>
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    <collection role="persons" number="44549">Menzel, Marion</collection>
  </doc>
  <doc>
    <id>1876</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
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    <language>eng</language>
    <pageFirst/>
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    <pageNumber>13</pageNumber>
    <edition/>
    <issue>69</issue>
    <volume>2021</volume>
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    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
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    <completedDate>2022-03-09</completedDate>
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    <title language="eng">Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks</title>
    <parentTitle language="eng">Medical Image Analysis</parentTitle>
    <identifier type="issn">1361-8415</identifier>
    <identifier type="issn">1361-8423</identifier>
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    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <author>
      <first_name>Guido</first_name>
      <last_name>Buonincontri</last_name>
    </author>
    <author>
      <first_name>Carolin</first_name>
      <last_name>Pirkl</last_name>
    </author>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <author>
      <first_name>Bjoern H.</first_name>
      <last_name>Menze</last_name>
    </author>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>magnetic resonance fingerprinting</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>compressed sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>convex model-based reconstruction</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>residual network</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>encoder-decoder network</value>
    </subject>
    <collection role="persons" number="44549">Menzel, Marion</collection>
  </doc>
  <doc>
    <id>3116</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>4</pageNumber>
    <edition/>
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    <volume/>
    <articleNumber/>
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    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Deep Fully Convolutional Network for MR Fingerprinting</title>
    <abstract language="eng">This work proposes an end-to-end deep fully convolutional neural network for MRF reconstruction (MRF-FCNN), which firstly employs linear dimensionality reduction and then uses a neural network to project the data into the tissue parameters. The MRF dictionary is only used for training the network and not during image reconstruction.  We show that MRF-FCNN is capable of achieving accuracy comparable to the ground-truth maps thanks to capturing spatio-temporal data structures without a need for the non-scalable dictionary matching step used in the baseline reconstructions.</abstract>
    <parentTitle language="eng">Medical Imaging with Deep Learning, MIDL 2019: Extended Abstract Track</parentTitle>
    <identifier type="url">https://openreview.net/forum?id=SJxUdvJTtN</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-31163</identifier>
    <enrichment key="THI_conferenceName">Medical Imaging with Deep Learning (MIDL 2019), London (UK), 08.-10.07.2019</enrichment>
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    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Dongdong</first_name>
      <last_name>Chen</last_name>
    </author>
    <editor>
      <first_name>M. Jorge</first_name>
      <last_name>Cardoso</last_name>
    </editor>
    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <editor>
      <first_name>Aasa</first_name>
      <last_name>Feragen</last_name>
    </editor>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <editor>
      <first_name>Ben</first_name>
      <last_name>Glocker</last_name>
    </editor>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <editor>
      <first_name>Ender</first_name>
      <last_name>Konukoglu</last_name>
    </editor>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <editor>
      <first_name>Ipek</first_name>
      <last_name>Oguz</last_name>
    </editor>
    <editor>
      <first_name>Gozde</first_name>
      <last_name>Unal</last_name>
    </editor>
    <editor>
      <first_name>Tom</first_name>
      <last_name>Vercauteren</last_name>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Magnetic Resonance Fingerprinting</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Deep Learning</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="persons" number="44549">Menzel, Marion</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3116/28_deep_fully_convolutional_netwo.pdf</file>
  </doc>
  <doc>
    <id>3117</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>4</pageNumber>
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    <title language="eng">Spatio-temporal regularization for deep MR Fingerprinting</title>
    <abstract language="eng">We study a deep learning approach to address the heavy storage and computation re- quirements of the baseline dictionary-matching (DM) for Magnetic Resonance Fingerprint- ing (MRF) reconstruction. The MRF-Net provides a piece-wise affine approximation to the (temporal) Bloch response manifold projection. Fed with non-iterated back-projected images, the network alone is unable to fully resolve spatially-correlated artefacts which ap- pear in highly undersampling regimes. We propose an accelerated iterative reconstruction to minimize these artefacts before feeding into the network. This is done through a convex regularization that jointly promotes spatio-temporal regularities of the MRF time-series.</abstract>
    <parentTitle language="eng">Medical Imaging with Deep Learning, MIDL 2019: Extended Abstract Track</parentTitle>
    <identifier type="url">https://openreview.net/forum?id=ryx64UL6YE</identifier>
    <identifier type="url">https://2019.midl.io/program/extended-abstracts.html</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-31174</identifier>
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    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <editor>
      <first_name>M. Jorge</first_name>
      <last_name>Cardoso</last_name>
    </editor>
    <author>
      <first_name>Dongdong</first_name>
      <last_name>Chen</last_name>
    </author>
    <editor>
      <first_name>Aasa</first_name>
      <last_name>Feragen</last_name>
    </editor>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <editor>
      <first_name>Ben</first_name>
      <last_name>Glocker</last_name>
    </editor>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <editor>
      <first_name>Ender</first_name>
      <last_name>Konukoglu</last_name>
    </editor>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <editor>
      <first_name>Ipek</first_name>
      <last_name>Oguz</last_name>
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    <editor>
      <first_name>Gozde</first_name>
      <last_name>Unal</last_name>
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    <editor>
      <first_name>Tom</first_name>
      <last_name>Vercauteren</last_name>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>magnetic resonance fingerprinting</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>regularisation</value>
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    <collection role="persons" number="44549">Menzel, Marion</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
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  </doc>
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    <id>4613</id>
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    <publishedYear>2019</publishedYear>
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    <pageNumber>2</pageNumber>
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    <type>preprint</type>
    <publisherName>arXiv</publisherName>
    <publisherPlace>Ithaca</publisherPlace>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">A Fully Convolutional Network for MR Fingerprinting</title>
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    <enrichment key="THI_relatedIdentifier">https://doi.org/10.48550/arXiv.1911.09846</enrichment>
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    <author>
      <first_name>Dongdong</first_name>
      <last_name>Chen</last_name>
    </author>
    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <collection role="persons" number="44549">Menzel, Marion</collection>
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    <id>4614</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
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    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>5</pageNumber>
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    <publisherName>arXiv</publisherName>
    <publisherPlace>Ithaca</publisherPlace>
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    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF</title>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.48550/arXiv.1809.02506</enrichment>
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    <author>
      <first_name>Arnold Julian Vinoj</first_name>
      <last_name>Benjamin</last_name>
    </author>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
    </author>
    <author>
      <first_name>Tim</first_name>
      <last_name>Sprenger</last_name>
    </author>
    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
    </author>
    <author>
      <first_name>Mike E.</first_name>
      <last_name>Davies</last_name>
    </author>
    <author>
      <first_name>Ian</first_name>
      <last_name>Marshall</last_name>
    </author>
    <collection role="persons" number="44549">Menzel, Marion</collection>
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    <id>4619</id>
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    <publishedYear>2019</publishedYear>
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    <pageNumber>33</pageNumber>
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    <publisherName>arXiv</publisherName>
    <publisherPlace>Ithaca</publisherPlace>
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    <completedDate>--</completedDate>
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    <title language="eng">Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: an alternative to conventional spiral MR Fingerprinting</title>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.48550/arXiv.1906.08195</enrichment>
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    <author>
      <first_name>Arnold Julian Vinoj</first_name>
      <last_name>Benjamin</last_name>
    </author>
    <author>
      <first_name>Pedro A.</first_name>
      <last_name>Gómez</last_name>
    </author>
    <author>
      <first_name>Mohammad</first_name>
      <last_name>Golbabaee</last_name>
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    <author>
      <first_name>Zaid</first_name>
      <last_name>Bin Mahbub</last_name>
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    <author>
      <first_name>Tim</first_name>
      <last_name>Sprenger</last_name>
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    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
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    <author>
      <first_name>Mike E.</first_name>
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      <first_name>Ian</first_name>
      <last_name>Marshall</last_name>
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    <publisherName>arXiv</publisherName>
    <publisherPlace>Ithaca</publisherPlace>
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