Content available in repository
Content available in repository
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):
Fingerprint
Dive into the research topics where Geometric Learning & Differential Geometry is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Gijs Bellaard
- Mathematics and Computer Science, Geometric Learning & Differential Geometry - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
-
Nicky J. van den Berg
- Mathematics and Computer Science, Geometric Learning & Differential Geometry - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
-
Remco Duits
- Mathematics and Computer Science, Mathematical Image Analysis
- Mathematics and Computer Science, Center for Analysis, Scientific Computing and Applications - Associate Professor
- EAISI Health - Associate Professor
- EAISI Foundational - Associate Professor
- Mathematics and Computer Science, Geometric Learning & Differential Geometry - Associate Professor
Person: UHD : Associate Professor
-
Analysis of (sub-)Riemannian PDE-G-CNNs
Bellaard, G., Bon, D. L. J., Pai, G., Smets, B. M. N. & Duits, R., 16 Apr 2023, (E-pub ahead of print) In: Journal of Mathematical Imaging and Vision. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access1 Citation (Scopus) -
Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks
Pai, G., Bellaard, G., Smets, B. M. N. & Duits, R., 1 Aug 2023, Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks. Springer, p. 63–72 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
-
Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2)
van den Berg, N. J., Zhang, S., Smets, B. M. N., Berendschot, T. T. J. M. & Duits, R., 2023, Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings. Calatroni, L., Donatelli, M., Morigi, S., Prato, M. & Santacesaria, M. (eds.). Cham: Springer Nature, p. 525-537 13 p. (Lecture Notes in Computer Science; vol. 14009).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Prizes
-
Geometric Learning for Medical Image Analysis
Duits, Remco (Recipient), 24 Apr 2021
Prize: NWO › Vici › Scientific
Activities
- 1 Invited talk
-
Geometric Deep Learning
Bart M.N. Smets (Speaker)
21 Sept 2022Activity: Talk or presentation types › Invited talk › Scientific
Press/Media
-
Follow what's happening at TU/e Research Day 2023 and celebrate science!
Wijnand A. IJsselsteijn, Oded Raz, Danqing Liu, B. Fitzgerald, Erik P.A.M. Bakkers & Nicky J. van den Berg
8/06/23
1 item of Media coverage
Press/Media: Expert Comment
Student theses
-
Analysis and Geometric Interpretation of PDE-G-CNNs
Author: Bon, D. L. J., 19 Jul 2022Supervisor: Duits, R. (Supervisor 1) & Bellaard, G. (Supervisor 2)
Student thesis: Master
File -
Geometric denoising and contrast enhancement of X-ray images
Author: Putnoki, A., 2020Supervisor: Duits, R. (Supervisor 1) & Smets, B. M. N. (Supervisor 2)
Student thesis: Bachelor
File -
Improved Computational Models and Algorithms for Geodesic Vessel Tracking in Orientation Scores
Author: van den Berg, N., 9 Jul 2021Supervisor: Duits, R. (Supervisor 1) & Smets, B. (Supervisor 2)
Student thesis: Master
File