| EPSRC Reference: |
EP/R005982/1 |
| Title: |
Efficient and Robust Assessment of Cardiovascular Disease Using Machine Learning and Ultrasound Imaging |
| Principal Investigator: |
Rueckert, Professor D |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computing |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research |
| Starts: |
01 February 2018 |
Ends: |
31 July 2021 |
Value (£): |
397,985
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| EPSRC Research Topic Classifications: |
| Image & Vision Computing |
Medical Imaging |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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11 Sep 2017
|
HT Investigator-led Panel Meeting - September 2017
|
Announced
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Summary on Grant Application Form |
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No summary is available for this grant.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.imperial.ac.uk |