Author

Giulia Agliardi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Angela d’Esposito· 2 shared Ben Hipwell· 2 shared Mark F. Lythgoe· 2 shared Simon Walker-SamueliD· 2 shared Tom A. Roberts· 2 shared Valerie Taylor· 2 shared Andrada Ianus· 1 shared Bernard Siow· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Angela d’Esposito

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2 papers

Recent·Most cited

Deep learning diffusion fingerprinting to detect brain tumour response to chemotherapy

Tom A. Roberts, Ben Hipwell, Giulia Agliardi, Angela d’Esposito, Valerie Taylor, Mark F. Lythgoe, Simon Walker-Samuel

This paper introduces DLDF, a deep learning method that detects brain tumor response to chemotherapy using diffusion-weighted MRI in a mouse model, showing it can segment tumors, distinguish tumor age, and detect chemotherapy effects with limited data.

bioRxiv · Sep 25, 2017 · PreprintBiophysics

Quantitation of brain tumour microstructure response to Temozolomide therapy using non-invasive VERDICT MRI

Tom A. Roberts, Harpreet Hyare, Giulia Agliardi, Ben Hipwell, Angela d’Esposito, Andrada Ianus, James O. Breen-Norris, Rajiv Ramasawmy, Valerie Taylor, David Atkinson, Shonit Punwani, Mark F. Lythgoe, Bernard Siow, Sebastian Brandner, Jeremy Rees, , Simon Walker-Samuel

This study evaluates VERDICT MRI for detecting early response to Temozolomide therapy in brain tumours, showing it is more sensitive than structural or ADC measurements.

bioRxiv · Aug 30, 2017 · PreprintBiophysics