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Medical Imaging (self) PhD Projects, Programs & Scholarships

We have 18 Medical Imaging (self) PhD Projects, Programs & Scholarships

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  Precision Medicine DTP – A novel data integration method for cellular social networks within self-organising multicellular systems
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher, Dr A Tsanas
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. The quantification and interrogation of how the cells organise and interact with their environment is fundamental for advancing developmental biology, cancer research, pharmaceutics and medical diagnostics.
  Stimulating the sirtuin family in the treatment of cancer.
  Dr P Ragazzon
Applications accepted all year round

Funding Type

PhD Type

Every year, thousands of people face cancer diagnosis. Survival rates are high, but many face devastating disabilities and long-term side effects resulting from currently treatments.
  Immuno-geography of synovial lining and macrophage function #RACE3
  Prof I Udalova, Dr M Kurowska-Stolarska, Dr A Filer
Application Deadline: 10 January 2020

Funding Type

PhD Type

Supervisory team. Hub 1. Oxford – Prof. Irina Udalova (Lead Supervisor). Hub 2. Glasgow – Mariola Kurowska-Stolarska. Hub 3. Birmingham – Andrew Filer.
  Non-invasive Mapping of Oxygen Extraction Fraction in Patients with Breast Cancer: Development of Novel Multi-Parametric Relaxometry Magnetic Resonance Imaging (MRI) Methods
  Dr J He, Dr Y Masannat, Prof D Lurie
Applications accepted all year round

Funding Type

PhD Type

This project aims to translate, optimise and extend quantitative oxygen extraction fraction mapping based on oxygen enriched air inspiration and magnetic resonance (MR) relaxometric imaging for human application.
  Development of biomedical image and signal processing analysis methods
  Prof D Wertheim
Applications accepted all year round

Funding Type

PhD Type

The project relates to developing methods for rapid objective analysis of biomedical image and signal data..
  Computer-aided Detection of Osteoporotic Vertebral Fractures in Clinical Images Using Convolutional Neural Network Constrained Local Models (CNN-CLMs)
  Dr P Bromiley, Prof T Cootes, Dr EP Kariki
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common, degenerative skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality.
  Decreasing the side effects from breast cancer treatment
  Dr M Aznar, Prof M Van Herk, Prof C West
Applications accepted all year round

Funding Type

PhD Type

Radiotherapy is an important part of a successful treatment for many women with breast cancer, but it can lead to side effects. Women often complain about skin burns, a stiff shoulder or a swollen arm.
  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Non-invasive imaging of the pathophysiology of early systemic sclerosis; fibrosis and oxygenation
  Dr A Murray, Prof G Parker, Prof A Herrick, Dr M Dickinson
Applications accepted all year round

Funding Type

PhD Type

Systemic sclerosis (SSc) is a microvascular autoimmune disease that causes lack of blood flow and scarring and thickening of skin and tissues within internal organs.
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