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Volker J. Schmid
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2020 – today
- 2022
- [j8]Zahra Amini Farsani
, Volker J. Schmid
:
Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis. Entropy 24(2): 155 (2022) - [j7]Zahra Amini Farsani
, Volker J. Schmid:
Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI. J. Digit. Imaging 35(5): 1176-1188 (2022)
2010 – 2019
- 2017
- [j6]Paul Schmidt, Mark Mühlau
, Volker J. Schmid
:
Fitting large-scale structured additive regression models using Krylov subspace methods. Comput. Stat. Data Anal. 105: 59-75 (2017) - 2016
- [i4]Ramin Norousi, Volker J. Schmid:
Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis. CoRR abs/1601.01216 (2016) - 2012
- [j5]Paul Schmidt, Christian Gaser
, Milan Arsic, Dorothea Buck, Annette Förschler
, Achim Berthele, Muna Hoshi, Rüdiger Ilg, Volker J. Schmid
, Claus Zimmer, Bernhard Hemmer, Mark Mühlau
:
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. NeuroImage 59(4): 3774-3783 (2012) - [i3]Ramin Norousi, Stephan Wickles, Christoph Leidig, Thomas Becker, Volker J. Schmid, Roland Beckmann, Achim Tresch:
Automatic post-picking using MAPPOS improves particle image detection from Cryo-EM micrographs. CoRR abs/1212.4871 (2012) - 2011
- [j4]Karsten Tabelow
, Jonathan D. Clayden, Pierre Lafaye de Micheaux
, Jörg Polzehl, Volker J. Schmid
, Brandon J. Whitcher
:
Image analysis and statistical inference in neuroimaging with R. NeuroImage 55(4): 1686-1693 (2011) - [j3]Volker J. Schmid
:
Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI. IEEE Trans. Medical Imaging 30(7): 1305-1313 (2011) - [i2]Mojgan Mohajer, Karl-Hans Englmeier, Volker J. Schmid:
A comparison of Gap statistic definitions with and without logarithm function. CoRR abs/1103.4767 (2011) - [i1]Ramin Norousi, Stephan Wickles, Thomas Becker, Roland Beckmann, Volker J. Schmid, Achim Tresch:
Automatic post-picking improves particle image detection from Cryo-EM micrographs. CoRR abs/1112.3173 (2011) - 2010
- [c4]Julia C. Kärcher, Volker J. Schmid
:
Two tissue compartment model in DCE-MRI: a Bayesian approach. ISBI 2010: 724-727
2000 – 2009
- 2009
- [j2]Volker J. Schmid
, Brandon J. Whitcher
, Anwar R. Padhani
, Guang-Zhong Yang:
Quantitative Analysis of Dynamic Contrast-Enhanced MR Images Based on Bayesian P-Splines. IEEE Trans. Medical Imaging 28(6): 789-798 (2009) - 2007
- [c3]Volker J. Schmid
, Peter Gatehouse, Guang-Zhong Yang:
Attenuation Resilient AIF Estimation Based on Hierarchical Bayesian Modelling for First Pass Myocardial Perfusion MRI. MICCAI (1) 2007: 393-400 - 2006
- [j1]Volker J. Schmid
, Brandon J. Whitcher
, Anwar R. Padhani
, N. Jane Taylor
, Guang-Zhong Yang:
Bayesian Methods for Pharmacokinetic Models in Dynamic Contrast-Enhanced Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 25(12): 1627-1636 (2006) - [c2]Volker J. Schmid
, Brandon J. Whitcher
, Guang-Zhong Yang:
Semi-parametric Analysis of Dynamic Contrast-Enhanced MRI Using Bayesian P-Splines. MICCAI (1) 2006: 679-686 - 2005
- [c1]Volker J. Schmid
, Brandon J. Whitcher
, Guang-Zhong Yang, N. Jane Taylor, Anwar R. Padhani
:
Statistical Analysis of Pharmacokinetic Models in Dynamic Contrast-Enhanced Magnetic Resonance Imaging. MICCAI (2) 2005: 886-893
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