S Ray

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United Kingdom

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About

Professor S Ray is a faculty member at the University of Glasgow Statistics in the United Kingdom. His research interests are diverse, focusing on quantitative methods in medical imaging, cancer treatment protocols, and viral diseases. Recent publications include studies on the robustness of textural analysis in SPECT-CT, treatment outcomes in lymphoma, and advancements in tumour segmentation techniques.

Recent Grants

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A digital environment for water resources

Open Date: 2019-10-01

Close Date: 2020-10-01

Grant: Close

Developing statistical downscaling to improve water quality understanding and management in the Ramganga sub-basin

Open Date: 2019-09-30

Close Date: 2021-09-29

Grant: Close

NSF GK-12 Graduate STEM Fellows in K-12 Education GLACIER-Global Change Initiative-Education & Research

Open Date: 2010-03-15

Close Date: 2017-02-28

Grant: Close

CMG: Functional Data Modeling of Climate-Ecosystem Dynamics

Open Date: 2009-09-15

Close Date: 2013-08-31

Grant: Close

CMG: Functional Data Modeling of Climate-Ecosystem Dynamics

Open Date: 2009-09-15

Close Date: 2013-08-31

Articles (15)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2020

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2020

Collaborators (33)

Matthew Holden

University of St. Andrews

UNITED KINGDOM

S Ray

Research Interests

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About

Recent Grants

Articles (15)

Comparison of quantitative Krenning Scores with visual assessment in 99mTc-EDDA/HYNIC-TOC SPECT-CT

Robustness of textural analysis features in quantitative 99 mTc and 177Lu SPECT-CT phantom acquisitions

Comparison of CHOP-19 and CHOP-25 for treatment of peripheral nodal B-cell lymphoma in dogs: A European multicenter retrospective cohort study

Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning

Hepatitis C virus diversity and treatment outcomes in Benin: a prospective cohort study

Adeno-associated virus 2 infection in children with non-A–E hepatitis

Directions of change in intrinsic case severity across successive SARS-CoV-2 variant waves have been inconsistent

Beta-blockers and mechanical dyssynchrony in heart failure assessed by radionuclide ventriculography

Correlation between pseudotyped virus and authentic virus neutralisation assays, a systematic review and meta-analysis of the literature

From coarse to fine: a deep 3D probability volume contours framework for tumour segmentation and dose painting in PET images

SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway.

A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays.

Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers

Radionuclide ventriculography phase analysis for risk stratification of patients undergoing cardiotoxic cancer therapy

Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population

Collaborators (33)

Matthew Holden

Samuel Channon-Wells

Wilhelm Furnon

Diego Estrada-Rivadeneyra

Antonia Ho

Brian Willett

Kirsty Anne Jones

Giuditta De Lorenzo

Giancarlo Natalucci

Sandy Small

Thomas Whalley

Tassos Grammatikopoulos

Shirin Ashraf

A ΜΑΝΤΖΟΥΡΑΤΟΥ

Emma Thomson

Barbara Kronsteiner-Dobramysl

Joby Cole

Ruud Gerard Nijman

Joe Grove

Clementien Vermont

S J Vastert

Simonne Weeks

Rute Maria Pinto

Eleri Sarah Wyn Wilson-Davies

Alastair Gemmell

Vanessa Herder

Elias Allara

Martin Patrick McHugh

Deborah Lavin

Antonio Salas

Louise Mackenzie

Temi Lampejo

John Henderson

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