Publikationen der AG Bioimaging

2009 - 2010 - 2011 - 2012 - Vorträge

2013

    • Lehermeier, C., Wimmer, V., Albrecht, T., Auinger, H.-J., Gianola, D., Schmid, V., Schön, C.-C.: Sensitivity to Prior Specification in Bayesian Genome-based Prediction Models. Statistical Applications in Genetics and Molecular Biology (2013) Accepted for Publication.

    • Schneider, K., Fuchs, C., Dobay, A., Rottach, A., Qin, W., Álvarez-Castro, J., Nalaskowski, M., Schmid, V., Leonhardt, H., Schermelleh, L.,: Dissection of cell cycle dependent dynamics of Dnmt1 by FRAP and diffusion-coupled modeling. Nucleic Acids Research (2013) In press. [DOI]

    • Norousi, R., Wickles, S., Leidig, C., Tresch, A., Schmid, V.J., Beckmann, R., Becker, T.: Automatic post-picking using MAPPOS improves particle image detection from Cryo- EM micrographs. Journal of Structural Biology 182:2 (2013) 59-66. [DOI]

2012

  • Markaki, Y., Smeets, D., Fiedler, S., Schmid, V.J., Schermelleh, L., Cremer, T., Cremer, M.: The potential of 3D-FISH and super-resolution structured illumination microscopy for studies of 3D nuclear architecture. BioEssays 34:5 (2012) 412-426. [DOI]

  • Copley, S.J., Giannarou, S., Schmid, V.J., Hansell, D.M., Wells, A.U., Yang, G.-Z.: Effect of Ageing on Lung Microstructure in vivo: Assessment with Densitometric and Textural Analysis of High resolution CT Data. Journal of Thoracic Imaging 27:6 (2012) 366-371. [DOI]

  • Schmidt, P., Gaser, C., Arsic, M., Buck, D., Förschler, A., Berthele, A., Hoshi, M., Ilg, R., Schmid, V.J., Zimmer, C., Hemmer, B.: An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. Neuroimaging 59:4 (2012) 3774-3783. [DOI]

    • Abschlussarbeiten

  • Mohajer, M.: Cluster analysis of the signal curves in perfusion DCE-MRI datasets. Doktorarbeit an der Ludwig-Maximilians-Universität München

    • Technical Reports

  • Sommer, J.C., Gertheis, J., Schmid, V.J.: Spatially regularized estimation for the analysis of DCE-MRI data. Department of Statistics: Technical Reports, Nr. 132

  • Sommer, J.C., Schmid, V.J.: Spatial two tissue compartment model for DCE-MRI. arXiv:1209.0901

    • Proceedings

  • Sommer, J.C., Schmid, V.J.: Bayesian spatial regularization in nonlinear regression. Proceedings of Statistische Woche (2012)

  • Schmid, V.J.: Contextual Kinetics - Bayesian Modelling of Dynamic Imaging. Proceedings of the 11th Iranian Statistical Conference (2012)

  • Lehermeier, C., Wimmer, V. Albrecht, T., Auinger, H.-J., Schön, C.C. Schmid, V.J.: Sensitivity to Prior Specification in Bayesian Models for Genomic Prediction in Maize. 4th International Conference on Quantitative Genetics (2012)

  • Martina C. Feilke, Volker J. Schmid: Bayesian Analysis of FRAP-Images with Mixed-Effect Priors. 58. Biometrisches Kolloquium, Berlin (2012)

2011

  • Mahaki, B., Mehrabi, Y., Kavousi, A., Akbari, M.E., Waldhoer, T., Schmid, V.J., Yaseri, M.: Multivariate Disease Mapping of Seven Prevalent Cancers in Iran using a Shared Component Model. Asian Pacific Journal of Cancer Prevention 12:9 (2011), 2353-2358 [Online]

  • Seiler, D.M., Rouquette, J., Schmid, V.J., Strickfaden, H., Ottmanna, C., Drexler, G.A, Mazurek, B., Greubel, C., Hable, V., Dollinger, G., Cremer, T., Friedl, A.A.: Double-strand break-induced transcriptional silencing is associated with loss of tri-methylation at H3K4. Chromosome Research 19:7 (2011) 883-899. [DOI]

  • Whitcher, B., Schmid, V.J.: Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R. Journal of Statistical Software 44:5 (2011). [Online]

  • Whitcher, B., Schmid, V.J., Thornton, A.: Working with the DICOM and NIfTI Data Standards in R. Journal of Statistical Software 44:6 (2011). [Online]

  • Schmid, V.J.: Voxel based adaptive spatio-temporal modelling of perfusion cardiovascular MRI. IEEE Transactions on Medical Imaging 30:7 (2011) 1305-1313. [DOI]

  • Staubach, C., Hoffmann, L., Schmid, V.J., Ziller, M., Tackmann, K., Conraths, F.J.: Bayesian space–time analysis of Echinococcus multilocularis-infections in foxes. Veterinary Parasitology 179:1-3 (2011) 77-83. [DOI]

  • Tabelow, K., Clayden, J.D., Lafaye de Micheaux, P., Polzehl, J., Schmid, V.J.,, Whitcher, B.: Image Analysis and Statistical Inference in Neuroimaging with R. NeuroImaging 55:4 (2011) 1686-1693. [DOI]

  • Whitcher, B., Schmid, V.J., Collins, D.J., Orton, M.R., Koh, D.-M., Diaz de Corcuera, I., Parera, M., del Campo, J.M., deSouza, N.M., Leach, M., Harrington, K., El-Hariry, I.A.: A Bayesian Hierarchical Model for Dynamic Contrast-Enhanced MRI: A Phase II Study in Advanced Squamous Cell Carcinoma of the Head and Neck. Magnetic Resonance Materials in Physics, Biology and Medicine 24:2 (2011) 85-96. [DOI]

    • Technical reports

  • Ramin Norousi, Stephan Wickles, Thomas Becker, Roland Beckmann, Volker J. Schmid, Achim Tresch: Automatic post-picking improves particle image detection from Cryo-EM micrographs. arXiv:1112.3173.

  • Mojgan Mohajer, Karl-Hans Englmeier, Volker J. Schmid: A comparison of Gap statistic definitions with and without logarithm function. arXiv:1103.4767.

    • Proceedings

  • Mohajer, M., Schmid, V.J., Braren, R., Noel, P.B., Englmeier, K.H.: How Heterogeneous is the Liver? A Cluster Analyse of DCE-MRI Time Series.NSS-MIC 2011

  • Schmid, V.J.: Adaptive Spatio-Temporal Modelling for Medical Imaging. Bayesian Inference for Latent Gaussian Models, Zurich

2010

  • Schmid, V.J.: Kinetic Models for Cancer Imaging. In: Hamid R. Arabnia: Advances in Computational Biology. Heidelberg: Springer (2010). ISBN: 978-1-4419-5912-6. (Link)

    • Peer-reviewed Proceedings

  • Kärcher, J., Schmid, V.J.: Two tissue compartment model in DCE-MRI: A Bayesian Approach. IEEE International Symposium on Biomedical Imaging. From Nano to Macro. 724-727.

    • Technical reports

  • Schmid, V.J.: Spatio-Temporal Modelling of Perfusion Cardiovascular MRI. Department of Statistics: Technical Reports, Nr. 77 (Link).

  • Gertheiss, J., Kärcher, J.C., Schmid, V.J.: Analysis of DCE-MRI Data using a Nonnegative Elastic Net. Department of Statistics: Technical Reports, Nr. 90 (Link).

  • Mojgan, M., Englmeier, K.H., Schmid, V.J.: A comparison of Gap statistic definitions with and without logarithm function. Department of Statistics: Technical Reports, Nr. 96 (Link).

  • Tabelow, K., Clayden, J.D., Lafaye de Micheaux, P., Polzehl, J., Schmid, V.J., Whitcher, B.: Image Analysis and Statistical Inference in Neuroimaging with R. WIAS Preprint, Nr. 1578. Weierstraß-Institut für angewandte Analysis und Stochastik (2010).

    • Proceedings

  • Kärcher, J., Schmid, V.J.: Bayesian model selection in pharmacokinetic models. DAGStat 2010

  • Schmid, V.J.: Spatio-Temporal Modeling of First-Pass Perfusion Cardiovascular MRI. DAGStat 2010

  • Tabelow, K., Clayden, J.D., Lafaye de Micheaux P., Polzehl J., Schmid, V.J., Whitcher, B.: Image Analysis and Statistical Inference in Neuroimaging with R. 2010 Human Brain Mapping

  • Whitcher, B., Thornton, A., Schmid, V.J.: dcemri: R package for medical image analysis. DAGStat 2010

  • Kärcher, J., Schmid, V.J.: Defining adequate complexity of compartment models in DCE-MRI. ISMRM 2010

2009

  • Schmid, V.J., Whitcher, B., Yang, G.Z.: Quantitative analysis of Dynamic contrast-enhanced MR images based on Bayesian P-Splines. IEEE Transactions on Medical Imaging 28 (2009) 789-798 [DOI]

  • Schmid, V.J., Whitcher, B., Padhani, A.R., Taylor, N.J., Yang, G.Z.: A Bayesian Hierarchical Model for the Analysis of a Longitudinal Dynamic Contrast-Enhanced MRI Cancer Study. Magnetic Resonance in Medicine 61 (2009) 163-174 [DOI]

  • Copley, S., Giannarou, S, Schmid, V., Hansell, DM., Yang, GZ.:  Objective evaluation of lung morphology on thin-section CT using fractal dimension analysis: a comparative study between >75 and <55 year old individuals. In Journal of Thoracic Imaging 24, 3 (2009), August 2009

Peer-reviewed Proceedings

  • Schmid, V.J., Yang, G.Z.: Spatio-Temporal Modelling of First-Pass Perfusion Cardiovascular MRI. In: Olaf Dössel and Wolfgang C. Schlegel: World Congress on Medical Physics and Biomedical Engineering. IFMBE Proceedings 25/IV. Heidelberg: Springer (2009) 45-48 [LINK]

Presentations (selection)

2012

  • Sommer, J.C.: Bayesian spatial regularization in nonlinear regression Talk at "Statistische Woche", Wien, September 2012

  • Schmid, V.J.: Contextual Kinetics - Bayesian Modelling of Dynamic Imaging Invited talk at "11th Iranian Statistical Conference", Tehran, Iran, August 2012

  • Schmid, V.J.: Eingeladener Vortrag am Zentrum Mathematik, Technische Universität München, Mai 2012

  • Feilke, M.C.: Bayesian Analysis of FRAP-Images with Mixed-Effect Priors Poster beim 58. Biometrischen Kolloquium, Berlin, March 2012

    • 2011

  • Schmid, V.J.: Contextual Modelling for Medical Images Invited talk at "Statistics and Neuroimaging 2011", Berlin, November 2011

  • Kärcher, J.: Estimating the number of compartments with reversible jump MCMC. 2nd Conference of the Central European Network - CEN 2011, September 2011

  • Schmid, V.J.: Event data analysis. Course at "Bundesinstitut für Bevölkerungsforschung", Wiesbaden, August 2011.

  • Schmid, V.J.: Adaptive Spatio-Temporal Modelling for Medical Imaging. Bayesian Inference for Latent Gaussian Models, Zurich, February 3rd to 6th 2011

  • Norousi, R. Automatische Erkennung von Partikelbildern bei Cryo-EM Aufnahmen. Kolloquium des Instituts für Statistik, LMU Munich, 21st January 2011.

2010

  • J. Kärcher: Spatio-Temporal Modelling of First-Pass Perfusion Cardiovascular MRI, 2nd joint Statistical Meeting DAGStat 2010, 23rd to 26th March 2010, Dortmund

  • V. Schmid: Bayesian Model Selecion in pharmacokinetic models, 2nd joint Statistical Meeting DAGStat 2010, 23rd to 26th March 2010, Dortmund

2009

  • V. Schmid: Hierarchical Mixed Effect Models for the Analysis of Longitudinal Dynamic Contrast-Enhanced MRI Oncology Studies, Joint Workshop of the working groups "Bayes Methods", "Ecology and Environment" and "Spatial Statistics", Luebeck, 3rd to 5th December 2009

  • V. Schmid: Bayesian Modelling for Perfusion Imaging, Workshop "Advances in Statistical Modeling of High Dimensional Data: Variable selection and Challenges in Image Analysis", Munich, 17th to 18th September 2009

  • V. Schmid: Spatio-Temporal Modelling of First-Pass Perfusion Cardiovascular MRI, 11th International Congress of the IUPESM - Medical Physics and Biomedical Engineering World Congress 2009, Munich, 7th to 12th September 2009

  • V. Schmid: Hierarchical Bayesian Modelling for Perfusion Imaging, BioMed-S seminar "Promoting Interdisciplinary Problem-Solving in Biology and Medicine", LMU Munich, 18th June 2009