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Andrew Janke

Showing results (1-10 of 7) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
The use of unwrapped phase in MR image segmentation: a preliminary studyPierrick Bourgeat, Jurgen Fripp, Andrew Janke, et al.
Magnetic Resonance in Medicine|July 6, 2004
Use of spherical harmonic deconvolution methods to compensate for nonlinear gradient effects on MRI imagesAndrew Janke, Huawei Zhao, Gary J Cowin, et al.
Magnetic Resonance in Medicine|March 2, 2017
The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high fieldSteffen Bollmann, Simon Daniel Robinson, Kieran O'Brien, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 24, 2015
Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random FieldPallab Kanti Roy, Alauddin Bhuiyan, Andrew Janke, et al.
Neuroimage|April 3, 2019
DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mappingSteffen Bollmann, Kasper Gade Bøtker Rasmussen, Mads Kristensen, et al.
BMC Neurology|February 10, 2012
Aspirin for the prevention of cognitive decline in the elderly: rationale and design of a neuro-vascular imaging study (ENVIS-ion)Christopher M Reid, Elsdon Storey, Tien Y Wong, et al.
Frontiers in Neuroinformatics|April 16, 2014
The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics researchWojtek J Goscinski, Paul McIntosh, Ulrich Felzmann, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
The use of unwrapped phase in MR image segmentation: a preliminary studyPierrick Bourgeat, Jurgen Fripp, Andrew Janke, et al.
Magnetic Resonance in Medicine|July 6, 2004
Use of spherical harmonic deconvolution methods to compensate for nonlinear gradient effects on MRI imagesAndrew Janke, Huawei Zhao, Gary J Cowin, et al.
Magnetic Resonance in Medicine|March 2, 2017
The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high fieldSteffen Bollmann, Simon Daniel Robinson, Kieran O'Brien, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 24, 2015
Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random FieldPallab Kanti Roy, Alauddin Bhuiyan, Andrew Janke, et al.
Neuroimage|April 3, 2019
DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mappingSteffen Bollmann, Kasper Gade Bøtker Rasmussen, Mads Kristensen, et al.
BMC Neurology|February 10, 2012
Aspirin for the prevention of cognitive decline in the elderly: rationale and design of a neuro-vascular imaging study (ENVIS-ion)Christopher M Reid, Elsdon Storey, Tien Y Wong, et al.
Frontiers in Neuroinformatics|April 16, 2014
The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics researchWojtek J Goscinski, Paul McIntosh, Ulrich Felzmann, et al.
Pageof 1