Munich Center for Machine Learning

works on

angiography 1 benchmark challenge 1 circle of willis segmentation 1 deep learning 1 vascular imaging 1

From the 1 of 4 papers with an AI index.

most citedThe TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

12 citations

researchers with a paper here

Gitta Kutyniok2 · h 57
Abdul Qayyum1 · h 5
A. Casamitjana1 · h 11
A. Galdrán1 · h 33
A. Hilbert1 · h 15
Alexander Koch1 · h 3
A. Makmur1 · h 15
Amrish Soundararajan1 · h 4
A. Oliver1 · h 42
Aras Bacho1 · h 6
A. Sekuboyina1 · h 28
A. Siddiqui1 · h 77

collaborating institutions

Technical University of MunichDE4 papers
Ludwig-Maximilians-Universität MünchenDE2 papers
Munich Center for Quantum Science and TechnologyDE2 papers
UiT The Arctic University of NorwayNO2 papers
AGH University of KrakowPL1 paper
Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
Beijing Academy of Artificial IntelligenceCN1 paper
BMW (Germany)DE1 paper
Canon (United States)US1 paper
Center for Excellence in Brain Science and Intelligence TechnologyCN1 paper
Centre for Tactile Internet with Human-in-the-LoopDE1 paper
Centre Hospitalier de l’Université de MontréalCA1 paper

Showing math.NAShow all

1 paper · 1 filter

math.NA2026

A Variational Framework for the Complexity of PDE Solutions

Juan Esteban Suarez Cardona, Holger Boche, Gitta Kutyniok

Partial Differential Equations (PDEs) are fundamental mathematical models for describing physical phenomena, yet most PDEs of practical interest require numerical approximations. T…