Mathematical Image Analysis

  • AddressShow on map

    Groene Loper 5, Metaforum

    5612 AP Eindhoven


Organization profile

Introduction / mission

We are interested in inverse problems, such as: 

  • Inference of brain anatomy from diffusion weighted magnetic resonance imaging (tractography, connectivity)
  • Detection, enhancement, completion, and geometric analysis of elongated structures in 2-and 3-dimensional images
  • AI enhanced geometric image analysis

Highlighted phrase

Development of new methodologies and algorithms for the representation and analysis of complex imaging data (`big images’) for healthcare applications.

Organisational profile

Our methodological approach relies on a broad spectrum of mathematical techniques, such as
• Finsler geometry
• tensor calculus
• Lie group theory
• calculus of variations
• geometric control theory
• semigroup theory for multiresolution
• ordinary and partial differential equations
• deep learning

We are also interested in methodological tangencies with other scientific disciplines, such as theoretical physics, e.g.
• mathematical relativity

Success stories
The group has conducted several feasibility studies establishing proof of concept for clinical applications, such as
• myocardial motion, deformation, and strain can be obtained for myocardial function analysis from tagging magnetic resonance imaging
• the optic radiation can be delineated including the Meyer’s tip for temporal lobe resection therapy planning and risk analysis from diffusion weighted magnetic resonance imaging
• retinal vascular trees can be robustly extracted and analyzed from retinal fundus images

Project examples
1. Lie Group Theory & Differential Geometry for Medical Image Analysis, Remco Duits
2. Riemann-Finsler Geometry for Brain Connectivity and Tractography, Luc Florack & Andrea Fuster
3. Differential Geometry in Complex Medical Imaging & Relativity Theory, Andrea Fuster
4. Roto-Translation Covariant Convolutional Networks for Medical Image Analysis, Erik Bekkers

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


Dive into the research topics where Mathematical Image Analysis is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • On the metrizability of m-Kropina spaces with closed null 1-form

    Heefer, S., Pfeifer, C., van Voorthuizen, J. & Fuster, A., 14 Oct 2022, (Submitted) In: Journal of Mathematical Physics. XX, X

    Research output: Contribution to journalArticleAcademicpeer-review

  • PDE-Based Group Equivariant Convolutional Neural Networks

    Smets, B. M. N., Portegies, J., Bekkers, E. J. & Duits, R., 2022, (Accepted/In press) In: Journal of Mathematical Imaging and Vision. XX, X

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    2 Citations (Scopus)
  • Quantum gravity phenomenology at the dawn of the multi-messenger era—A review

    Addazi, A., Alvarez-Muniz, J., Alves Batista, R., Amelino-Camelia, G., Antonelli, V., Arzano, M., Asorey, M., Atteia, J. L., Bahamonde, S., Bajardi, F., Ballesteros, A., Baret, B., Barreiros, D. M., Basilakos, S., Benisty, D., Birnholtz, O., Blanco-Pillado, J. J., Blas, D., Bolmont, J., Boncioli, D., & 142 othersBosso, P., Calcagni, G., Capozziello, S., Carmona, J. M., Cerci, S., Chernyakova, M., Clesse, S., Coelho, J. A. B., Colak, S. M., Cortes, J. L., Das, S., D'Esposito, V., Demirci, M., Di Luca, M. G., di Matteo, A., Dimitrijevic, D., Djordjevic, G., Prester, D. D., Eichhorn, A., Ellis, J., Escamilla-Rivera, C., Fabiano, G., Franchino-Viñas, S. A., Frassino, A. M., Frattulillo, D., Funk, S., Fuster, A., Gamboa, J., Gent, A., Gergely, L., Giammarchi, M., Giesel, K., Glicenstein, J. F., Gracia-Bondía, J., Gracia-Ruiz, R., Gubitosi, G., Guendelman, E. I., Gutierrez-Sagredo, I., Haegel, L., Heefer, S., Held, A., Herranz, F. J., Hinderer, T., Illana, J. I., Ioannisian, A., Jetzer, P., Joaquim, F. R., Kampert, K. H., Uysal, A. K., Katori, T., Kazarian, N., Kerszberg, D., Kowalski-Glikman, J., Kuroyanagi, S., Lämmerzahl, C., Said, J. L., Liberati, S., Lim, E., Lobo, I. P., López-Moya, M., Luciano, G. G., Manganaro, M., Marcianò, A., Martín-Moruno, P., Martinez, M., Martinez, M., Martínez-Huerta, H., Martínez-Miravé, P., Masip, M., Mattingly, D., Mavromatos, N., Mazumdar, A., Méndez, F., Mercati, F., Micanovic, S., Mielczarek, J., Miller, A. L., Milosevic, M., Minic, D., Miramonti, L., Mitsou, V. A., Moniz, P., Mukherjee, S., Nardini, G., Navas, S., Niechciol, M., Nielsen, A. B., Obers, N. A., Oikonomou, F., Oriti, D., Paganini, C. F., Palomares-Ruiz, S., Pasechnik, R., Pasic, V., Pérez de los Heros, C., Pfeifer, C., Pieroni, M., Piran, T., Platania, A., Rastgoo, S., Relancio, J. J., Reyes, M. A., Ricciardone, A., Risse, M., Rodriguez Frias, M. D., Rosati, G., Rubiera-Garcia, D., Sahlmann, H., Sakellariadou, M., Salamida, F., Saridakis, E. N., Satunin, P., Schiffer, M., Schüssler, F., Sigl, G., Sitarek, J., Peracaula, J. S., Sopuerta, C. F., Sotiriou, T. P., Spurio, M., Staicova, D., Stergioulas, N., Stoica, S., Strišković, J., Stuttard, T., Cerci, D. S., Tavakoli, Y., Ternes, C. A., Terzić, T., Thiemann, T., Tinyakov, P., Torri, M. D. C., Tórtola, M., Trimarelli, C., Trześniewski, T., Tureanu, A., Urban, F. R., Vagenas, E. C., Vernieri, D., Vitagliano, V., Wallet, J. C. & Zornoza, J. D., 1 Jul 2022, In: Progress in Particle and Nuclear Physics. 125, 103948.

    Research output: Contribution to journalReview articlepeer-review

    Open Access
    76 Citations (Scopus)
    33 Downloads (Pure)