EstherAlberts

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

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Esther Julie Alberts

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Group: Image-Based Biomedical Modeling Group (IBBM)
Position: Ph.D. student


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


E-mail: esther.alberts@tum.de
Phone: +49 89 289 10840
Room: IMETUM 1.101

Research Interests

My fields of interest are shortly summarized below. You can visit my project page to get a more specific idea on what I am currently working on.

Image segmentation techniques

  • MRI image preprocessing: biasfield correction, registration, intensity normalization
  • Machine learning: Expectation-Maximization, Random Forests
  • Statistical modeling: Bayesian inference, Maximum Likelihood Estimators, MAP problems

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Fig1. - Axial, sagital and coronal views of segmented flair hyperintensities acquired from a patient suffering from vanishing white matter disease. Segmentation was calculated based on histogram fitting: a gaussian was used to fit grey and white matter voxels and a frechet distribution (an extreme value distribution) was used to fit the hyperintensities.

Brain tumor growth modeling

  • Temporal graphical models
  • Markov random fields
  • Energy minimization
  • Uncertainty estimation

Patient-specific characterization of Glioblastoma Multiforma

  • Precision medicine:
    Personalized glioma modeling has become necessary due to intertumoral cellular and molecular heterogeneity
  • Radiogenomics:
    Investigating the relation between genetic profiles and MRI phenotypes


UsersForm
Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Esther
Middlename: Julie
Lastname: Alberts
Picture: Alberts2014.png
Birthday: 14 january
Nationality: Belgium
Languages: English, German, French, Dutch
Groups: Image-Based Biomedical Modeling
Expertise:  
Position: Scientific Staff
Status: Active
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Room: IMETUM 1.101
Telephone: +49 89 289 10840
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