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We have 50 medical image PhD Projects, Programmes & Scholarships

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medical image PhD Projects, Programmes & Scholarships

We have 50 medical image PhD Projects, Programmes & Scholarships

Medical Image Analysis using Deep Learning

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. Read more

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

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

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

Self-Supervised Learning for Complex Visual Understanding

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021. The aim of this PhD project is to advance the state-of-the-art in computer vision through the development and application of self-supervised learning (SSL) techniques. 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

Artificial Intelligence - Computer Vision

Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Read more

Towards digital evaluation of patient-specific wrist repair

  Research Group: School of Mechanical Engineering
A funded PhD is available to develop patient-specific evaluation of custom wrist repairs, in collaboration with industry partner Attenborough Medical. Read more

Development of a highly innovative label-free & deep-learning based analysis method: Histoplasmonic Tissue Cytometry

The doctoral candidate (DC) will perform applied research in bioinformatics, i.e., the extraction of numerical values from biological samples, by engaging deep learning technologies to microscopic images with the aim to develop a novel solution for future clinical diagnostics of cancer. Read more

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