Emiliano Spezi

Professor of Healthcare Engineering and Director of Research

Cardiff University

United Kingdom

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Articles (15)

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2024

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2024

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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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2023

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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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2021

Collaborators (10)

Peter Theobald

Senior Lecturer

Cardiff University

UNITED KINGDOM

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Kieran Foley

Clinical Senior Lecturer

Cardiff University

UNITED KINGDOM

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Richard D White

University Hospital of Wales

UNITED KINGDOM

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Ronald Boellaard

Head imaging methodology

VU medisch centrum

NETHERLANDS

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Lisette Nixon

Senior Research Fellow; Deputy Head of Trial Management (Cancer)

Cardiff University

UNITED KINGDOM

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Richard Adams

Professor

Cardiff University

UNITED KINGDOM

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Timothy Stanley Maughan

Professor of Clinical Oncology, CRUK/MRC Oxford Institute for Radiation Oncology

University of Oxford

UNITED KINGDOM

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Hanhe Lin

Academic, Lecturer (Teaching and Research)

University of Dundee

UNITED KINGDOM

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Chris Hurt

Cardiff University School of Medicine

UNITED KINGDOM

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Gary Cook

King’s College London

UNITED KINGDOM

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Emiliano Spezi

Research Interests

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Articles (15)

The Image Biomarker Standardization Initiative

Patient-Specific Dosimetry Evaluations in Theranostics Software for Internal Radiotherapy

Preoperative MRI radiomic analysis for predicting local tumor progression in colorectal liver metastases before microwave ablation

Multi-institutional evaluation of a Pareto navigation guided automated radiotherapy planning solution for prostate cancer

Towards using a multi-material, pellet-fed additive manufacturing platform to fabricate novel imaging phantoms

Efficacy of early PET-CT directed switch to carboplatin and paclitaxel based definitive chemoradiotherapy in patients with oesophageal cancer who have a poor early response to induction cisplatin and capecitabine in the UK: a multi-centre randomised controlled phase II trial

Evaluating the Use of Machine Learning to Predict Expert-Driven Pareto-Navigated Calibrations for Personalised Automated Radiotherapy Planning

Clinical evaluation of atlas-based auto-segmentation in breast and nodal radiotherapy

External validation of an <sup>18</sup>F-FDG-PET radiomic model predicting survival after radiotherapy for oropharyngeal cancer

Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical cohort of pancreatic cancer patients

Predicting Radiologists&#x0027; Gaze with Computational Saliency Models in Mammogram Reading

Sensitivity of standardised radiomics algorithms to mask generation across different software platforms

A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings

Evaluating the Quality of Patient-Specific Deformable Image Registration in Adaptive Radiotherapy Using a Digitally Enhanced Head and Neck Phantom

Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce

Collaborators (10)

Peter Theobald

Kieran Foley

Richard D White

Ronald Boellaard

Lisette Nixon

Richard Adams

Timothy Stanley Maughan

Hanhe Lin

Chris Hurt

Gary Cook

Make your next move.

Emiliano Spezi

Research Interests

Explore related searches

Contact this professor

Articles (15)

The Image Biomarker Standardization Initiative

Patient-Specific Dosimetry Evaluations in Theranostics Software for Internal Radiotherapy

Preoperative MRI radiomic analysis for predicting local tumor progression in colorectal liver metastases before microwave ablation

Multi-institutional evaluation of a Pareto navigation guided automated radiotherapy planning solution for prostate cancer

Towards using a multi-material, pellet-fed additive manufacturing platform to fabricate novel imaging phantoms

Efficacy of early PET-CT directed switch to carboplatin and paclitaxel based definitive chemoradiotherapy in patients with oesophageal cancer who have a poor early response to induction cisplatin and capecitabine in the UK: a multi-centre randomised controlled phase II trial

Evaluating the Use of Machine Learning to Predict Expert-Driven Pareto-Navigated Calibrations for Personalised Automated Radiotherapy Planning

Clinical evaluation of atlas-based auto-segmentation in breast and nodal radiotherapy

External validation of an <sup>18</sup>F-FDG-PET radiomic model predicting survival after radiotherapy for oropharyngeal cancer

Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical cohort of pancreatic cancer patients

Predicting Radiologists&amp;#x0027; Gaze with Computational Saliency Models in Mammogram Reading

Sensitivity of standardised radiomics algorithms to mask generation across different software platforms

A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings

Evaluating the Quality of Patient-Specific Deformable Image Registration in Adaptive Radiotherapy Using a Digitally Enhanced Head and Neck Phantom

Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce

Collaborators (10)

Peter Theobald

Kieran Foley

Richard D White

Ronald Boellaard

Lisette Nixon

Richard Adams

Timothy Stanley Maughan

Hanhe Lin

Chris Hurt

Gary Cook

Make your next move.

Predicting Radiologists' Gaze with Computational Saliency Models in Mammogram Reading