Imagen Médica Estructural y Funcional

Axis 1: Neuroimaging

L1: Differentiation of tumour progression in high-grade gliomas using AI.

L2: Post-Contrast T1 Synthetic MRI Imaging in Neuro-Oncology using Deep Learning in Multiparametric MRI.

L3: Deep Electrode Stimulation in Movement Disorder Patients.

Axis 2: Paediatric Radiology

L1: Postnatal liver elastography reference values by gestational age and their usefulness in neonatal liver pathology with special attention to foetal growth restriction.

L2: Study of cardiac morphology and function for the Pulsta® valve prosthesis.

L3: Doppler and cerebral MRI in the study of hypothermia treatment of cerebral hypoxia-ischaemia in the neonate.

Axis 3: Thoracic imaging

L1: Development of a framework for tomographic reconstruction of thoracic tomosynthesis based on deep learning.

Axis 4: Vascular and interventional imaging

L1: Efficacy and safety in radicular liver segmentation.

L2: TIPS (Tranjugular intrahpetic portosystemic shunt) treatment of portal thrombosis.

L3: Endovascular embolisation of haemorrhage by anticoagulation.

Axis 5: Breast imaging

L1: Comparison of 2D vs 3D mammography screening.

L2: Application of AI-based algorithms in 2D and 3D mammography cancer screening programme.

Axis 6: Abdominal imaging

L1: Correlation of tumour progression with liquid biopsy in pancreatic cancer.

L2: Assessment of body density by CT scanning.

Axis 7: Gynaecological imaging

L1: Relationship between pelvic biometry and maternal perinatal prognosis.

L2: Radiological study of pelvic bone anatomy in women with a history of shoulder dystocia