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

Hauptseminar/Master Seminar:
Image-based Biomedical Modeling

Bjoern Menze (TUM), Marie Piraud (TUM), and external lecturers.

Type: Master Seminar Module IN2107
SWS: 2+0
ECTS: 5 Credits
Location: IMETUM Seminar Room
Time: Wednesday 1300-1500
Course Language: English


  • [10.07.2017] If you were unable to attend the intro meeting, have a look at the Slides. You can still register via the central seminar assignment system.
  • [03.07.2017] Info on the seminar will be given on Wednesday 12.07.2017, 1400h, at the IMETUM/GSB in room 1.211.


Many clinical imaging sequences include image modalities that provide unique insights into the human body: describing blood flow pattern or water diffusion, visualizing micro-structural tissue properties, or quantifying metabolic processes that have been found to be relevant for specific diseases. To access and explore the rich biological information of such multimodal CT, PET, and MR image data sets, different approaches from biophysical modeling and computational physiology are used.

The topic of this seminar is to survey such computational models by reading, discussing and understanding key publications in this field, for example, on:

  • spatial atlases that encode the variation of anatomy throughout the population in a probabilistic fashion,
  • dynamical models that describe blood flow patterns in MR and CT, or the the dynamics of metabolic pathways as measured via PET,
  • spatio-temporal models that describe cardiac electro-physiological excitations, or the growth patterns of tumors,
  • global probabilistic models that relate image features with clinical information or genetic variables.

Emphasis is put on improving presentation style. All presenters will present their talk twice during the course of the semester, and after the first time the group discussion will focus on presentation style.


In this Master Seminar (formerly Hauptseminar), each student is asked to select one paper from a list. In order to successfully complete the seminar, participants have to fulfill these requirements:

  • Presentation: The selected paper is presented to the other participants (20 minutes presentation 10 minutes questions). Use the CAMP templates for PowerPoint CAMPmaster.pot, or Latex: CAMP-latex-template.zip. All papers will be presented at two occasions. After the first presentation we will discuss presentation and presentation style, after the second presentation we will discuss the research topic of the paper.
  • Written Handout: A document of 4-8 pages is written and handed in two days before the presentation (i.e., on the Monday morning before the final presentation). Please download and use the llncs2e.zip Latex template. It can be edited and updated following comments in the final presentation.
  • Attendance: Participants have to participate actively in all seminar sessions.

Each presentation is followed by a discussion and everyone is encouraged to actively participate. The handout must include all references used and should be your own review of the paper (don't copy & paste). Both handout and presentation will have to be in English. It can follow the structure of the presentation: Intro (incl. statement of the problem, prior work, contribution of the present work), Methods (previously existing and improvements), Experiments (data and results), Conclusion / Summary.


The seminar consists of an introductory meeting and seminar sessions. Each of the sessions will consist of several student presentations. All seminar participants are expected to be present at every session and to actively participate in the discussion.

List of Papers

The papers that we are going to discuss in the seminar belong to four different research areas:
Area Description Presenter Tutor
Models & uncertainty Tanno et al. Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. Miccai 2017 Kim Gomez
  Owen et al. Anatomy-driven modelling of spatial correlation for regularisation of arterial spin labelling images. Miccai 2017 Bartol Ulas
  Dhamala et al. Quantifying the uncertainty in model parameters using Gaussian process based Markov chain Monte Carlo: an application to cardiac electrophysiological models. Miccai 2017l Aschenbrenner Zimmermann
Anatomical atlases & populations Arnaudon et al. A Stochastic large deformation model for computational anatomy. Ipmi 2017    
  Mirikharaji et al. Globally-optimal anatomical tree extraction from 3D medical images using pictorial structures and minimal paths. Miccai 2017    
  Chen et al. The active brain atlas: combining 3D anatomical models with texture detectors. Miccai 2017 Boghiu Alberts
  Dalca et al. Population based image imputation. Ipmi 2017 El Husseini Sekuboyina
  Kong et al. Cancer metastasis detection via spatially structured deep network. Ipmi 2017 Kayalıbay Piraud
  Heinrich et al. BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions. Miccai 2017    
  Heinrich et al. Multi-Organ Segmentation using Vantage Point Forests and Binary Context Features. Miccai 2016    
Vessels & networks Moriconi et al. VTrails: inferring vessels with geodesic connectivity trees. Ipmi 2017    
  Matejek et al. Compresso: Efficient compression of segmentation data for connectomics. Miccai 2017    
  Wang et al. Automatic labeling of vascular structures with topological constraints via HMM. Miccai 2017 Fischer Wels
  Rempfler et al. Cell Lineage tracing in lens-free microscopy videos. Miccai 2017 Ebert Rempfler
Disease modeling Venkatraghavan et al. A discriminative event based model for Alzheimer's disease progression modeling. Ipmi 2017 Nagy Piraud
  Elbaz et al. Hierarchical Shape Distributions for Automatic Identification of 3D Diastolic Vortex Rings from 4D Flow MRI. Miccai 2015    
  Marinescu et al. A vertex clustering model for disease progression: application to cortical thickness images. Ipmi 2017 Eisawy Shi
  Chang et al. Personalized pancreatic tumor growth prediction via group learning. Miccai 2017    
  Parisot et al. Spectral graph convolutions on population graphs for disease prediction. Miccai 2017 Andriamanga Shi
  Giroux et al. Biomechanical Patient-specific model of the respiratory system based on 4D CT scans and controlled by personalized physiological compliance. Miccai 2017    
Radiomic biomarkers Schlegl et al. Unsupervised anomaly detection with generative adversarial networks to guide marker discovery. Ipmi 2017 Einarsson Tetteh
  Doyle et al. Predicting future disease activity and treatment responders for Multiple Sclerosis patients using a bag-of-lesions brain representation. Miccai 2017 Pita Alberts
  Yao et al. Deep correlational learning for survival prediction from multi-modality data. Miccai 2017    
  Antunes et al. Radiomic spatial textai descriptor (RADISTAT): Characterizing intra-tumoral heterogeneity for response & outcome prediction. Miccai 2017    
  Chen et al. Multi-label inductive matrix completion for joint MGMT and IDH1 status prediction for glioma patients. Miccai 2017    


The seminar consists of an introductory meeting and seminar sessions. Each of the sessions will consist of several student presentations. All seminar participants are expected to be present at every session and to actively participate in the discussion.

Date Time By Tutor Type Of Presentation
Oct 18 13:00-15:00 Intro -- First Meeting
Oct 25 13:00-15:00 --   (Time for preparation)
Nov 1 13:00-15:00 -- -- (Allerheiligen)
Nov 8 13:00-15:00 Aschenbrenner -- Rehearsal
Nov 15 13:00-15:00 Kim, Bartol -- Rehearsal
Nov 22 13:00-15:00 El Husseini, Kayalibay -- Rehearsal
Nov 29 13:00-15:00 Fischer, Ebert -- Rehearsal
Dec 6 13:00-15:00 Nagy, Eisawy -- Rehearsal
Dec 13 13:00-15:00 Adriamanga, Einarsson -- Rehearsal
Dec 20 13:00-15:00 Pita, Boghiu -- Rehearsal
Jan 10 13:00-15:00 Aschenbrenner, Kim, Bartol TBA Final
Jan 17 13:00-15:00 Fischer, Ebert TBA Final
Jan 24 13:00-15:00 Boghiu, El Husseini TBA Final
Jan 31 13:00-15:00 Pita, Kayalibay, Einarsson TBA Final
Feb 7 13:00-15:00 Nagy, Eisawy, Andriamanga TBA Final

Literature and Helpful Links

A lot of scientific publications can be found online.

The following list may help you to find some further information on your particular topic:

Some publishers:

Libraries (online and offline):

Some further hints for working with references:

  • JabRef is a Java program for comfortable working with Bibtex literature databases. Handy feature: if you know the PubMed ID for an article, JabRef can import data from there (via "Web Search/Medline").
  • Mendeley is a cross-platform program for organising your references.

If you find useful resources that are not already listed here, please tell us, so we can add them for others. Thanks.

Title: Image based biomedical modeling seminar
Professor: Bjoern Menze
Tutors: Marie Piraud
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 5
Term: 2017WiSe

Edit | Attach | Refresh | Diffs | More | Revision r1.15 - 13 Oct 2017 - 12:18 - BjoernMenze

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