Anja Hennemuth
computer scientist
Facts
13 properties- Instance of
- human
- Employer
- Charité (2017–2021), Fraunhofer Institute for Digital Medicine MEVIS (2009–present)[4]
- Educated at
- University of Bremen, University of Hamburg[5][6]
- Official website
- icm.charite.de[10]
- Website
- icm.charite.de
- Citizenship
- Germany
- Doctoral advisor
- Heinz-Otto Peitgen[7]
- Viaf id
- 11162420468932250992
- yale lux id
- person/4941cf18-7395-4ffb-a20a-6ebc01d412d9
🏷️ Also known as
en Anja Hennemuth
🔖 Identifiers · 21
- ORCID iD
- 0000-0002-0737-7375
- VIAF cluster ID
- 11162420468932250992
- Library of Congress authority ID
- nb2021004828
- OpenAlex ID
- A2067910634
- ACM Digital Library author ID
- 81416604153
- DBLP author ID
- 90/3388
- Dimensions author ID
- 01071257343.13
- GEPRIS person ID
- 263512771
- Google Knowledge Graph ID
- /g/11f3_54vst
- Google Scholar author ID
- 88BozaMAAAAJ
- IEEE Xplore author ID
- 37658069400
- LinkedIn personal profile ID
- anja-hennemuth-a5ab9831
Show all 21 identifiers +9
- Mathematics Genealogy Project ID
- 200286
- Microsoft Academic ID (discontinued)
- 2067910634
- National Library of Israel J9U ID
- 987012501822205171
- Publons author ID
- 3233680
- ResearchGate profile ID
- Anja-Hennemuth
- ResearcherID
- AAF-1795-2019
- Scopus author ID
- 6507583811
- Semantic Scholar author ID
- 2880484
- Yale LUX ID
- person/4941cf18-7395-4ffb-a20a-6ebc01d412d9
🔗 Connections
Author of 19
A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification,
A Survey of Cardiac 4D PC‐MRI Data Processing,
Cascaded neural network-based CT image processing for aortic root analysis,
Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences,
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge,
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge,
Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images,
Extraction of open-state mitral valve geometry from CT volumes
+11 more
← Authored by 19
A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification,
A Survey of Cardiac 4D PC‐MRI Data Processing,
Cascaded neural network-based CT image processing for aortic root analysis,
Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences,
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge,
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge,
Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images,
Extraction of open-state mitral valve geometry from CT volumes
+11 more
Affiliated with 12
Educated at 2
Occupation 2
Country of citizenship 1
Doctoral advisor 1
Doctoral advisors 1
Employer 1
Given name 1
Instance of 1
Sex or gender 1
Press Enter · cited answer in seconds
0 sources
Summary
Anja Hennemuth worked as a computer scientist[1] and artificial intelligence researcher[2].
Body
Education
Educated at University of Bremen[5], a public university[11], in Germany[12], founded in 1971[13], headquartered in Bremen[14] and University of Hamburg[6], a public university[15], in Germany[16], founded in 1919[17], headquartered in Hamburg[18].
FAQs
What did Anja Hennemuth do for work?
Anja Hennemuth worked as computer scientist[1] and artificial intelligence researcher[2].
Where did Anja Hennemuth go to school?
Anja Hennemuth was educated at University of Bremen[5] and University of Hamburg[6].