JanaLipkova

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Jana Lipková

Lipkova.png

Image-Based Biomedical Modeling Group (IBBM)


Technische Universität München
Fakultät für Informatik
IMETUM - Zentralinstitut für Medizintechnik
Boltzmannstr. 11
D-85748 Garching
Germany


Dept. of Neuroradiology
TUM University Hospital
TranslaTUM?
Einsteinstraße 25
81675 München



Email: jana.lipkova@tum.de
Phone: +49 89 289 10840
Room: IMETUM 1.101

Research Interests

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For more detail information see Project Page

  • Brain diseases simulations (glioma, brain deformations, stroke)
  • Patient specific and image based simulations
  • Uncertainty Quantification and Propagation
  • Computational engineering
  • Stochastic modeling

Publications

  • J. Lipkova et al., Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration, (2018), (pdf)
  • J Lipková, G Arampatzis, P Chatelain, B Menze, P Koumoutsakos, *S-Leaping: An adaptive, accelerated stochastic simulation algorithm, bridging tau-leaping and R -leaping, (2018), (pdf)
  • L. Xu, G. Tetteh, J. Lipkova et al., Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods, Contrast Media & Molecular Imaging (2018)
  • P.F. Christ, F. Ettlinger, F. Grün, M.E.A. Elshaera, J. Lipkova, et al., Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks, arXiv:1702.05970 (2017) (pdf)
  • Jana Lipkova, Konstantinos Zygalakis, Jonathan Chapman and Radek Erban, "Analysis of Brownian Dynamics Simulations of Reversible Bimolecular Reactions", SIAM Journal on Applied Mathematics, Volume 71, Number 3, pp. 714-730 (2011) (pdf)

Student Projects

Students

  • Christina Frost (TUM): Bone lesions project
  • Christine Eilers (TUM): Tumour induced hypoxia and necrosis
  • Irene Mayoral (TUM): Glioma growth and mass effect
  • Shahnawaz Khalid (ETHZ): Hierarchical Bayesian approach for modelling brain tumours


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