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Address
Campus San Joaquin
Santiago
Santiago Metropolitan Region
7820436
Chile
Description
Our mission is to develop innovative methods that integrate medical imaging physics, engineering, and artificial intelligence (AI) to improve medical imaging-based healthcare by making it more accurate, efficient, and effective, and in the long term, more affordable and accessible to all Chileans.
We have access to a full-time (100%) 0.55T research MR scanner (FreeMax, Siemens Healthineers) and 2 part-time clinical research scanners (1.5T Achieva and 3T Ingenia, Philips Healthcare). We have access to the IDEA pulse programming environment for the FreeMax scanner and develop our own reconstruction and image analysis methods.
We work on 4 main research areas
1) Intelligent fully quantitative medical imaging
2) AI-enabled physics-informed and synergistic medical imaging
3) Explainable AI for medical imaging and non-imaging patient data integrated analysis, reporting and diagnosis
4) Population-based phenotyping for cardiovascular, liver disease and cancer
Organization
Clinical CMR Services
Clinical CMR Centers
Clinical CMR Training
CMR Clinical Training Centers
- Other
- Adult CMR training
- 1 month
- 3 months
- 6 months
- 1 year
- Funded positions
- Self-funded positions
Please contact Claudia Prieto, PhD (cdprieto@uc.cl) or René Botnar, PhD (rebotnar@uc.cl) if you are interested in technical research or training in CMR.
CMR Research Program
CMR Research Centers
Our mission is to develop innovative methods that integrate medical imaging physics, engineering, and artificial intelligence (AI) to improve medical imaging-based healthcare by making it more accurate, efficient, and effective, and in the long term, more affordable and accessible to all Chileans.
We have access to a full-time (100%) 0.55T research MR scanner (FreeMax, Siemens Healthineers) and 2 part-time clinical research scanners (1.5T Achieva and 3T Ingenia, Philips Healthcare). We have access to the IDEA pulse programming environment for the FreeMax scanner and develop our own reconstruction and image analysis methods.
We work on 4 main research areas
1) Intelligent fully quantitative medical imaging
2) AI-enabled physics-informed and synergistic medical imaging
3) Explainable AI for medical imaging and non-imaging patient data integrated analysis, reporting and diagnosis
4) Population-based phenotyping for cardiovascular, liver disease and cancer
- 0.55T
- 1.5T
- 3.0T
- Philips
- Siemens
- Clinical CMR research (Adult)
- Physics research
- Parametric mapping
- Flow imaging
- Artificial Intelligence
- Data Science
- Rapid Imaging
- Post-processing
CMR Research Fellowships
CMR Research Fellowships
Technologist CMR Training
CMR Technologist Training Centers
Last Updated: May 29, 2026