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Phd: Deep Learning for Medical Image Analysis
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PhD - Julian Suk Postdoc 1: Elina Thibeau -Sutre
till 14-01-2024 | MCS
-MIA
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| CSC (China Scholarship Council)
Error Analysis of Discontinuous Galerkin Finite Element. Discretizations of the Time-Harmonic Maxwell Equations with Minimal Smoothness Requirements |
- Kaifang Liu
| MCS
-MACS |
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| CSC (China Scholarship Council)
Physics-Informed Machine Learning for the Sensor Data Integration into Digital Twins |
- Weihao Yan
| MCS- MIA |
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| RU2795 Synapsen unter Stress: akute Veränderungen durch mangelnde Energiezufuhr an glutamatergen Synapsen
- The tripartite synapse during metabolic stress
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- Hannah van Susteren
| MCS-MIA & TNW-CNPH
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| Control in infinite-dimensional systems theory
| - Philip Preußler
| MCS-MAST |
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| Continuum Analysis of Geometric Machine Learning Methods
| Johanna Tengler
| MCS-MIA |
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| Deep Learning of PDEs and Inverse Problems via Optimal Transport
| Floor van Maarschalkerwaart
| MCS-MIA |
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| Infinite-dimensional optimization for theoretical machine learning:
SPOT: Sparsity Promoting Optimal Transport regularization for superresolution and data-driven models
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- Leonardo del Grande
| MCS-MIA |
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| Mathematical shape analysis
| - Giacomo Cristinelli
| MCS-MIA
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| Novel geometric deep learning methods for medical image analysis
| - Dieuwertje Alblas
| MCS-MIA
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| EEMCS theme team proposal: "PACOF: Predictive Avatar Control and Feedback" (Douwe Dresscher (EE), Gwenn Englebienne (CS), Felix Schwenninger (M))
- WP3: Proactive mathematical control in telemanipulation | - Alexander Wierzba
| MCS-MAST
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| EEMCS theme team proposal: "Physics-preserving model-order reduction for fluid-mechanical systems using real-world data" (Federico Califano (EE), Nicola Strisciuglio (CS), Silke Glas (M))
| - Michel Nikken | MCS-MAST |
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| EEMCS theme team proposal: "SEARCH: Searching the perfect one" (L.Segerink (EE), C. Brune (M), Ni.Strisciuglio (CS)) - WP2: Deep manifold learning of cell morphology and motion | - Sven Dummer
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MCS-MIA
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| EIC Pathfinder Open - 2021 call - ‘THERMODUST: A paradigm shift for the future’s thermal management devices through radical innovation in new materials and additive manufacturing
"Thermodust: Computational modeling of thermal properties of 2D-metal composite materials"
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- Hyunjong Lee
- Noortje van Goor
| MCS-3MS
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| HORIZON-MSCA ModConFlex (Modelling and control of flexible structures interacting with fluids)
WP 3: Analysis and Control of nD flexible systems.
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- Phillipo Testa
| MCS-MAST
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| VASCUL-AID (Horizon Europe) WP 3 & 4: Novel geometric deep learning methods for patient-specific risk assessment and progression of cardiovascular diseases based on multimodal imaging techniques
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- Patryk Rygiel | MCS-MIA |
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| Fast MRI in prostate cancer
| - Nida Mir
| MCS-MIA/ TNW-MD&
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| (CSER.JCER.037)
Accurate and efficient computation of the optical properties of Nanostructures for improved Photovoltaics
| - Lars Corbijn van Willenswaard
| MCS- MACS
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| DeepNL - Comprehensive monitoring and prediction of seismicity within the Groningen gas field using large scale field observations
WP2: Model Order reduction for seismic imaging
| - M. Hamza Khalid
| MCS- MACS
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| Density interpolation methods for the fast and high-order evaluation of volume potentials in complex geometries (NWO - M programme)
| - Juan S. Burbano Gallegos | MCS-MACS |
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| How Many Trajectories do we Need to Describe a Dynamics -CURVE ENSEMBLE | - Christian Amend
| MCS-MIA |
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| Little things make big things happen: Model reduction on manifolds of port-Hamiltonian systems (NWO - M programme)
| vacancy | MCS-MAST |
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| LTP ROBUST KICH3.LTP.20.006 LAB “HealthyAI” Siemens Healthineers project: Model-Driven Artificial Intelligence in Medical Image Analysis - Generalisation and Robustness of Deep Learning Methods by Exploiting Structural Priors
| - Mei Vaish
| MCS-MIA |
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| NWO AES - 18052 Nanofiller-enhanced wax for heat storage (Wax+) Modeling and Simulation of Novel Phase Change Material to improve Thermal Responsiveness
| - Kevin Redosado
| MCS- MACS & MCS -3MS
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| NWO Open Competition Science 13592
Optimal constants as analytic benchmarks (OCAB) | - Jens de Vries
| MCS-MAST
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| Self-Assembled Icosahedral Photonic Quasicrystals with a Band Gap for Visible Light (ENW Groot) - Electromagnetic wave simulations of self-assembled finite size photonic quasicrystals
| - Elena Giammatteo
| MCS- MACS
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| Single Cell Microgel embedded iPS-cells to map molecular variability of cell differentiation using a systems biology approach (SCI-MAP) (ENW Groot) - Computational Systems Biology-
| - Lucas Jansen Klomp
| MCS-MIA & TNW -DBE |
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| NWO- Mathematics Clusters – Ph.D. positions 2019;
NWO - OCENW.KLEIN.183"
Structure-preserving sparse discretizations of the radiative transfer equation with polarization
| - Vincent Bosboom | MCS- MACS
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| University of Twente, NWO via the TKI programme High Tech Systems and Materials) and by Malvern Panalytical X-ray metrology for academia and industry - DART
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- Niek Lokhorst
| MCS-MACS & T&S-XUV
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| Model Reduction on Manifolds
| - Hongliang Mu
| MCS-MAST
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| Physics-Informed Machine Learning - Bayesian learning of latent dynamics in computational physics
| - Postdoc: Dongwei Ye
| MCS-MIA
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| Physics-Informed Machine Learning - Scalable & Provable Correct Manifold Learning of Latent Dynamics
| - Tjeerd Jan Heeringa
| MCS-MIA
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| Risk of rupture of intracranial aneurysms -
a data-driven simulation approach
| - Viktoriia Bezugla | MCS-3MS |
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| Scene Understanding in Operating Room Videos
| - Beerend Gerats
| MCS-MIA
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| Towards spin battery devices in topological insulator materials
| - Stijn de Wit | MCS -3MS
& ICE/QTM AP |
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