about
Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint.Gibbs ringing in diffusion MRIMultiparametric imaging with heterogeneous radiofrequency fields.A model-based reconstruction for undersampled radial spin-echo DTI with variational penalties on the diffusion tensorFast T2 mapping with improved accuracy using undersampled spin-echo MRI and model-based reconstructions with a generating function.Phase unwinding for dictionary compression with multiple channel transmission in magnetic resonance fingerprinting.Learning a variational network for reconstruction of accelerated MRI data.Low rank alternating direction method of multipliers reconstruction for MR fingerprinting.Positive contrast of SPIO-labeled cells by off-resonant reconstruction of 3D radial half-echo bSSFP.Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction.Multicompartment Magnetic Resonance FingerprintingAssessment of the generalization of learned image reconstruction and the potential for transfer learningArtificial Intelligence for MR Image Reconstruction: An Overview for CliniciansfastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine LearningCoupled regularization with multiple data discrepanciesArtificial Intelligence in Musculoskeletal Imaging: Current Status and Future DirectionsAlprostadil treatment of critical limb ischemia in hemodialysis patients : A retrospective single-center analysisImage reconstruction for interrupted-beam x-ray CT on diagnostic clinical scannersAdvancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
P50
Q31011108-F61028F3-2F44-476F-8088-9FCE2EE842AAQ37024350-F0AA582A-60FD-4FAC-8E54-17574C9B7C6EQ39488521-BD8EB225-2BE9-4F93-A457-414F381FE58AQ41574848-A8290C87-2B6D-4480-941D-FC8496CEC288Q41862029-ABCBEE8A-213C-4990-8E57-9E590BF24696Q47247688-610C4B84-4E8F-4FB9-B0DA-A5E69DDA3ABFQ47616034-147D70EB-8FE5-4083-8D73-5DDF5444CB43Q48687040-5B1875B3-2BC4-4F15-809C-0810FC618DDBQ48699040-21594578-1539-43C5-81C4-17B6BAB87BE1Q50058332-69094742-5190-4198-B645-45D0902F75F7Q64113283-9A209EC1-0230-4331-8A0C-F2663CFEC3C4Q88724060-8AFA5B50-1BF3-4355-AA2F-26A2636A03C1Q89671103-FC6A5A11-78F4-4521-AF97-D206BA06A7BAQ89794124-15AB6584-EF35-4C11-B513-03D8F3334D44Q91242020-9D934B70-3F33-4D40-B8AF-3915B5CF1E47Q92539984-29D25B2E-57D2-40CC-BDFA-1C54FCB08D47Q93022912-56C261A2-1D5F-43AB-98C3-E67E57043B60Q93144728-6B99090F-FF56-4281-B242-8A90A133FF37Q96163267-452E5BDA-B122-4A0D-B7E2-DA25BB22887A
P50
description
investigador
@es
researcher
@en
wetenschapper
@nl
name
Florian Knoll
@en
Florian Knoll
@nl
type
label
Florian Knoll
@en
Florian Knoll
@nl
prefLabel
Florian Knoll
@en
Florian Knoll
@nl
P2456
P31
P496
0000-0001-5357-8656