A collaboration between mathematics, engineering, physics and biomedical scientists and clinicians, aiming to achieve synergies between applied mathematics and statistics through the focus on the analysis of clinical imaging.

Do you have exciting research you would like to share with us?

John Aston interviewed on Cambridge 105 Science Show

CMIH centre co-director John Aston appeared on Cambridge 105 Science Show. John was interviewed by Duncan Odom in the half hour show, where he discusses ...

Projects

We currently have 13 projects

Statistical Applications of Persistent Homology

View the project

A collaboration between mathematics, engineering, physics and biomedical scientists and clinicians, aiming to achieve synergies between applied mathematics and statistics through the focus on the analysis of clinical imaging.

Do you have exciting research you would like to share with us?

John Aston interviewed on Cambridge 105 Science Show

We currently have 13 projects

Statistical Applications of Persistent Homology

Stabilisation and analysis of haemoglobin video imaging sequences

Diffuse optical imaging of the neonatal brain

The novel mass spectrometry imaging and the systematic interrogation of multi-modality multi-dimensional image data

The processing of novel digital phase contrast microscopic images and the cross modality validation using fluorescent biomarkers

Scanning efficiency and resolution enhancement for medical imaging

Early cancer detection with holographic endoscopy

Real-time cancer diagnosis using random projection ensemble classification

Improving the diagnostic and prognostic yield of biomedical imaging

Image based prognostic indicators

Incorporating spatial information into dynamic imaging

Multimodal image correlation -- from joint priors to joint analysis for cancer diagnosis and treatment

Hybrid image reconstruction and analysis models for robust and more informed image-based diagnosis and treatment