Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 40 Computer Science (medical imaging) PhD Projects, Programmes & Scholarships

Discipline

Discipline

Computer Science

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Computer Science (medical imaging) PhD Projects, Programmes & Scholarships

We have 40 Computer Science (medical imaging) PhD Projects, Programmes & Scholarships

Advancing Deep Learning (DL) Techniques for Medical Image Analysis

Introduction.  . Lately, convolutional neural networks (CNNs) have demonstrated competitive performance in medical image analysis tasks, such as disease classification, tumor segmentation, and lesion detection [1]. Read more

Computational methods for medical image analysis: Foundation models, Generative models and Multimodal Learning

The field of medical imaging and precision medicine has seen remarkable advancements in recent years, driven by the potential of artificial intelligence (AI) technologies, such as generative models, foundation models, multi-modal learning algorithms, and large language models. Read more

PhD Studentship in Quantitative Magnetic Resonance Imaging MRI of the spine

A 3-year PhD Studentship is available at the UCL Division of Surgery and Interventional Science, within the Research Department of Orthopaedics and Musculoskeletal Science based at the Royal National Orthopaedic Hospital (RNOH) and in collaboration with Cleveland Clinic London (CCL). Read more

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

Doctor of Engineering (EngD) - Image capture and multimodal AI for interactive radiology assistance (Canon Medical and University of Edinburgh)

  Research Group: CDT in Applied Photonics
The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry. Students spend about 75% of their time working directly with a company in addition to receiving advanced-level training from a broad portfolio of technical and business courses. Read more

AI Powered Personalized Virtual Heart Modelling

Supervisory Team: Dr Lei Li, Prof. Age Chapman. Project description. In this unique PhD project, we aim to develop advanced AI models for creating cardiac digital twins, i.e., virtual heart models. Read more

Filtering Results