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Paper Citation Record · LEDGER

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.05285.

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pith.paper-citation-record.v1
1908.05285 v1

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measured 44 of 44 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 9f04b9ec-4a96-4abd-9f26-a213d687aa23 · outbound

This paper cites an unresolved cited work.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 1

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This paper cites Blood flow effects in magnetic resonance imaging.American Journal of Roentgenol- ogy, 143(6):1157–1166, dec 1984.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Blood flow effects in magnetic resonance imaging.American Journal of Roentgenol- ogy, 143(6):1157–1166, dec 1984

Reference 2

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Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 3

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Observation ef5fd4fd-bdca-4807-b1f3-6e6d257bbe78 · outbound

This paper cites Elkins and Marcus T.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Elkins and Marcus T

Reference 5

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Observation 6d4ba51f-8886-4012-9dcd-4e79ae9f52f2 · outbound

This paper cites RecentadvancesinflowMRI.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data RecentadvancesinflowMRI

Reference 6

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Observation e3ed67ac-a4a6-4e0f-99f3-b604ab5a8c26 · outbound

This paper cites Gatehouse, Jennifer Keegan, Lindsey A.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Gatehouse, Jennifer Keegan, Lindsey A

Reference 7

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Observation 89032a4b-86cf-4c71-b71a-c88522da7ea4 · outbound

This paper cites Rheo-NMR: nuclear magnetic resonance and the rheology of complex fluids.Reports on Progress in Physics, 62(4):599, 1999.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Rheo-NMR: nuclear magnetic resonance and the rheology of complex fluids.Reports on Progress in Physics, 62(4):599, 1999

Reference 8

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Observation ec93865c-9499-4425-93fc-ddd27280ec5a · outbound

This paper cites Structure-flowcorrelationsinpacked beds.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Structure-flowcorrelationsinpacked beds

Reference 9

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Observation 1e8b17e4-8dba-47d6-bde4-97f774b4fbf6 · outbound

This paper cites Magneticresonancevelocityimaging ofliquidandgastwo-phaseflowinpackedbeds.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Magneticresonancevelocityimaging ofliquidandgastwo-phaseflowinpackedbeds

Reference 10

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Observation cc6a64b1-63c1-4504-a504-0dd1912ea565 · outbound

This paper cites Reducingdataacquisitiontimesinphase-encodedvelocityimagingusingcompressedsensing.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Reducingdataacquisitiontimesinphase-encodedvelocityimagingusingcompressedsensing

Reference 11

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Observation 902ba4a2-5334-491a-9e0c-39324e0bd08c · outbound

This paper cites Nuclearmagneticresonanceasatooltostudyflow.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Nuclearmagneticresonanceasatooltostudyflow

Reference 12

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Observation 878b6d82-e59d-4b0c-a7d4-4171ab52721f · outbound

This paper cites Spatially resolved measurement of anisotropic granular temperature in gas-fluidized beds.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Spatially resolved measurement of anisotropic granular temperature in gas-fluidized beds

Reference 13

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Observation 157ff074-21b5-4b12-82fa-a67577903608 · outbound

This paper cites Exploring the origins of turbulence in multiphase flow using compressed sensing MRI.Physical review letters, 108(26):264505, 2012.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Exploring the origins of turbulence in multiphase flow using compressed sensing MRI.Physical review letters, 108(26):264505, 2012

Reference 14

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Observation 470dbeaf-b77e-45a3-8cf6-c3935b977bd8 · outbound

This paper cites Enhancingjointreconstructionandsegmentationwithnon-convexBregmaniteration.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Enhancingjointreconstructionandsegmentationwithnon-convexBregmaniteration

Reference 15

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Observation 6dcd4962-d1ff-4834-a1d2-9141b6938f26 · outbound

This paper cites Velocity encoding and flow imaging.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Velocity encoding and flow imaging

Reference 16

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Observation 65ba9e5d-6fa2-4964-81a1-87dc5f2b800b · outbound

This paper cites Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 17

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Observation 542b35ed-c037-4269-97ff-dc4164727042 · outbound

This paper cites IEEETransactionsoninformationtheory ,52(4):1289– 1306, 2006.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data IEEETransactionsoninformationtheory ,52(4):1289– 1306, 2006

Reference 18

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Observation 70ca037e-d2bd-40ca-b744-37f9db25e6fc · outbound

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Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 19

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This paper cites Highly k-t- space–acceleratedphase-contrastMRI.MagneticResonanceinMedicine:AnOfficialJournal of the International Society for Magnetic Resonance in Medicine, 60(5):1169–1177, 2008.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Highly k-t- space–acceleratedphase-contrastMRI.MagneticResonanceinMedicine:AnOfficialJournal of the International Society for Magnetic Resonance in Medicine, 60(5):1169–1177, 2008

Reference 20

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Observation 0bf060cc-9b57-43b6-a41d-d45f91a3a8b3 · outbound

This paper cites Ultrafastmicroscopyofmicrofluidics:compressedsensing and remote detection.Angewandte Chemie International Edition, 50(23):5258–5260, 2011.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Ultrafastmicroscopyofmicrofluidics:compressedsensing and remote detection.Angewandte Chemie International Edition, 50(23):5258–5260, 2011

Reference 21

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Observation 0b59f7f8-849a-4f31-ac66-50291c6b8359 · outbound

This paper cites Compressed sensing of remotely detectedMRIvelocimetryinmicrofluidics.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Compressed sensing of remotely detectedMRIvelocimetryinmicrofluidics

Reference 22

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Observation 5bfad218-6ada-41b8-9d6a-8d2f2029e07e · outbound

This paper cites Quantitative single point imaging with compressed sensing.Journal of Magnetic resonance, 201(1):72–80, 2009.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Quantitative single point imaging with compressed sensing.Journal of Magnetic resonance, 201(1):72–80, 2009

Reference 23

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Observation 0819b7fa-ae7e-4003-ba0c-d135d6cf5bb7 · outbound

This paper cites Cooley and John W.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Cooley and John W

Reference 24

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Observation 91b5b3a4-6874-4e47-beeb-7d9158014b3b · outbound

This paper cites Nonuniformfastfouriertransformsusingmin-maxinterpolation.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Nonuniformfastfouriertransformsusingmin-maxinterpolation

Reference 25

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Observation 5e99cc3f-794a-4297-9939-bed0dbb96d6c · outbound

This paper cites Phase reconstruction from velocity-encoded MRI measurements–a survey of sparsity- promoting variational approaches.Journal of Magnetic Resonance, 238:26–43, 2014.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Phase reconstruction from velocity-encoded MRI measurements–a survey of sparsity- promoting variational approaches.Journal of Magnetic Resonance, 238:26–43, 2014

Reference 26

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Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 27

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Observation 542b7c4f-15e9-4fe7-a093-5131549276af · outbound

This paper cites an unresolved cited work.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 28

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This paper cites Separatemagnitudeandphaseregularization viacompressedsensing.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Separatemagnitudeandphaseregularization viacompressedsensing

Reference 29

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This paper cites A primal–dual hybrid gradient method for nonlinear operators with appli- cations to mri.Inverse Problems, 30(5):055012, 2014.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data A primal–dual hybrid gradient method for nonlinear operators with appli- cations to mri.Inverse Problems, 30(5):055012, 2014

Reference 30

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Observation 60501b20-4e33-4fd8-b8a6-f833b4cbe15c · outbound

This paper cites Zibetti and Alvaro R.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Zibetti and Alvaro R

Reference 31

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Observation 6da5bc2a-1dd2-45e4-b48f-d239ecc31af5 · outbound

This paper cites Gladden and Andrew J.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Gladden and Andrew J

Reference 32

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Observation bb97e2f9-7e7c-4bfc-90b2-07e2ce4d6e8c · outbound

This paper cites Chan and Luminita A.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Chan and Luminita A

Reference 33

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This paper cites SIAMjournalonappliedmathematics ,66(5):1632– 1648, 2006.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data SIAMjournalonappliedmathematics ,66(5):1632– 1648, 2006

Reference 34

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Observation 81f0fc2e-e6cc-442f-bb07-c956bc9f1960 · outbound

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Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 35

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Observation e2da95ba-4399-4922-87c9-68fa254ab889 · outbound

This paper cites Proximal minimization methods with generalized bregman functions.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Proximal minimization methods with generalized bregman functions

Reference 36

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Observation d4caaffa-8dfb-4f6e-9245-3d4fbd2fd1b0 · outbound

This paper cites Choose your path wisely: gradient descent in a Bregman distance framework.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Choose your path wisely: gradient descent in a Bregman distance framework

Reference 37

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Observation f6d30474-2753-4cf1-8aac-9467fdbe11df · outbound

This paper cites an unresolved cited work.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 38

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Observation 10f3d6c4-0933-4ae4-a5ef-1d97863811d1 · outbound

This paper cites Proximalalternatinglinearizedminimiza- tionfornonconvexandnonsmoothproblems.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Proximalalternatinglinearizedminimiza- tionfornonconvexandnonsmoothproblems

Reference 39

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Observation c3489568-517d-4739-b3c8-76f0e7e7dbd7 · outbound

This paper cites An efficient primal-dual hybrid gradient algorithm for total variation image restoration.UCLA CAM Report, 34, 2008.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data An efficient primal-dual hybrid gradient algorithm for total variation image restoration.UCLA CAM Report, 34, 2008

Reference 40

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Observation 90daab0f-0402-42c4-8337-4d9bb59b8b4b · outbound

This paper cites An algorithm for minimizing the mumford-shah functional.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data An algorithm for minimizing the mumford-shah functional

Reference 41

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Source-reported events for the cited work

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Observation a74b6520-2287-4f4c-8d5e-7c757e280b6d · outbound

This paper cites A general framework for a class of first order primal-dualalgorithmsforconvexoptimizationinimagingscience.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data A general framework for a class of first order primal-dualalgorithmsforconvexoptimizationinimagingscience

Reference 42

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8a58ab14-c026-466f-bbb8-176291a2ab8e · outbound

This paper cites an unresolved cited work.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Unresolved cited work

Reference 43

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Observation 1daaa9cd-7b38-4ac2-a743-d73d372543bc · outbound

This paper cites Signal sampling and processing inmagnetic resonance applications.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Signal sampling and processing inmagnetic resonance applications

Reference 44

Resolution
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Observation f90aabbd-0d17-4bc5-ba0d-ce0082699fc9 · outbound

This paper cites Exploring the origins of turbulence in multiphase flow using compressed sensing MRI.Physical review letters, 108(26):264505, 2012.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Exploring the origins of turbulence in multiphase flow using compressed sensing MRI.Physical review letters, 108(26):264505, 2012

Reference 45

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verified fuzzy
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Pith citing papers

No inbound Pith citation observations are available.