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medical image PhD Projects, Programs & Scholarships

We have 169 medical image PhD Projects, Programs & Scholarships

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  Medical Image Analysis using Deep Learning
  Dr D Makris
Applications accepted all year round

Funding Type

PhD Type

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition.
  Towards personalised coronary artery disease consideration using medical image processing and computational modelling
  Dr S Beier
Applications accepted all year round

Funding Type

PhD Type

This project is highly interdisciplinary, and will involve working with (and extending) a suite of existing software and computational models based on clinical imaging data.
  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.
  Biomechanical Evaluation of Reality-Based Navigation in Total Hip Replacement
  Dr A Lennon, Prof Nicholas Dunne
Application Deadline: 15 June 2020

Funding Type

PhD Type

While total hip replacement is a very successful orthopaedic procedure, there continues to be considerable unwanted surgical variation with regard to restoration of femoral head centre (FHC).
  PhD Studentship in Magnetic Resonance Imaging System Engineering: 3D Image Processing Software
  Dr M Ristic
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a research studentship in the field of Magnetic Resonance Imaging system engineering leading to the award of a PhD degree.
  AI Based Diagnosis and Support System for Cartilage Lesion Detection on Knee MRIs and Automated Rehabilitation Assessment with Quantitative Biomarkers
  Dr L Zhang, Prof X Ye, Prof Paul Y F Lee, Prof N Allinson
Application Deadline: 14 June 2020

Funding Type

PhD Type

Identifying cartilage lesions in patients undergoing MRI of the knee joint has many important implications in routine clinical applications.
  Deep neural networks for omni-modality MSK image analysis
  Dr A Kumar, Prof D Feng, Assoc Prof J Kim, Prof M Fulham
Applications accepted all year round

Funding Type

PhD Type

Proposed Training. The project will provide advanced technical training in the optimisation of deep neural networks for computerised medical image analysis to transform current clinical approaches lo image-based biomarker discovery.
  Image and Video Analytics with Deep Learning Models
  Dr S Chakraborty
Applications accepted all year round

Funding Type

PhD Type

This focus of this project area is to develop deep Learning models such as Convolutional neural networks (CNN) models capable of performing image and video analysis including classification, segmentation, detection etc.
  PhD Scholarship in Modelling Statistical Uncertainty in Convolutional Neural Networks
  Dr I Simpson
Application Deadline: 30 June 2020

Funding Type

PhD Type

In the real world, decisions are typically made under some level of uncertainty as we rarely have access to perfect information or complete knowledge about a problem.
  Use of highly multi-modal PET and MRI data as a predictive biomarker of the site of recurrence in neuro-oncology
  Dr R Hinz, Dr David Coope, Prof A Jackson
Applications accepted all year round

Funding Type

PhD Type

Primary brain tumour including glioblastoma (GBM), the most aggressive and most common form in adults, continue to have a socioeconomic impact that is disproportionate to the tumour frequency due to our inability to obtain a cure in the vast majority of adult sufferers.
  Pore-scale modelling of drug transport in brain tumour tissue
  Dr W Zhan, Prof D Pokrajac, Dr Y Zhou
Application Deadline: 7 June 2020

Funding Type

PhD Type

Malignant glioma is characterised as aggressive and invasive in clinic owing to its high mortality rate.
  Improving sensitivity and specificity to detect epileptogenic foci by coregistered PET and MR
  Prof K Herholz, Dr R Hinz, Dr S Muthu
Applications accepted all year round

Funding Type

PhD Type

Epilepsy is a frequent disorder that can be caused by focal abnormalities in the brain, which may be treatable by surgical resection.
  Solid tumour segmentation via principal axis estimation using weakly supervised adversarial deep learning
  Dr J Brown, Dr T Lambrou, Prof X Ye
Application Deadline: 14 June 2020

Funding Type

PhD Type

Segmentation is an essential part of many image-based diagnosis pipelines. Manual delineation of complex structures (e.g. solid tumours) remains the gold standard in many disciplines but is a highly labour intensive and meticulous task to perform in practice.
  Application of Deep Learning for clinical optical imaging
  Dr M Vallejo
Applications accepted all year round

Funding Type

PhD Type

We are looking for a highly motivated prospective PhD student to undergo a 3-year fully-funded PhD position in the area of machine learning and deep learning theory and applications.
  UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care

Funding Type

PhD Type

Building on the Leeds distinctive strength, depth and international excellence in multi-modal AI, and medical diagnosis and care, we will train cohorts of researchers equipped with the necessary skills to unlock the immense potential of AI within the health domain.
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