Type
Funder
Country
—
Documents
228
through any edge
Papers
0
authorship edges
Awards made
7
5 grant numbers
Named as funder
228
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Technische Universität München has funded
7 awards under 5 distinct grant numbers, across 6 documents. A further 228 documents name it as a funder without a grant number — a weaker claim, counted separately.
2309.16486grant AI4TWINNINGAutomated claustrum segmentation in human brain <scp>MRI</scp> using deep learninggrant 8765162 · 2021-09-14Automated claustrum segmentation in human brain <scp>MRI</scp> using deep learninggrant KKF 8765162 · 2021-09-14From model based to learned regularization in medical image registration: A comprehensive reviewgrant 884622 · 2025-11-032301.00243grant GSC 81Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficientgrant GSC 81 · 2023-05-03Addressing benchmarking gaps in large language models for health and medicine with dynamic red-teaminggrant 884622 · 2026-01-01
7 of 235 funding edges