Paul Bentley

Clinical Senior Lecturer

Imperial College London

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Medical Imaging Medical Imaging professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Paul Bentley is a Clinical Senior Lecturer at Imperial College London, UK. His research focuses on the application of deep learning techniques in stroke assessment and rehabilitation, including the analysis of ischemic lesion age through CT imaging and the efficacy of self-directed interventions for upper limb rehabilitation post-stroke. He has contributed to various studies on mechanical thrombectomy outcomes and the implementation of technology-based therapies for stroke recovery.

Articles (18)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (8)

Johanna Pitkänen

Helsinki University Hospital

FINLAND

View details

Daniel Rueckert

Director, Alexander von Humboldt Professor for AI

Technical University of Munich

GERMANY

View details

Sami Curtze

University of Helsinki

FINLAND

View details

Jane Burridge

University of Southampton

UNITED KINGDOM

View details

Dheeraj Kalladka

Honorary Clinical Senior Lecturer

Imperial College London

UNITED KINGDOM

View details

Joseph Kwan

Imperial College London

UNITED KINGDOM

View details

Aldo Faisal

Professor

University of Bayreuth

GERMANY

View details

Adam Marcus

Imperial College London

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Paul Bentley

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

Multicentre pilot randomised control trial of a self-directed exergaming intervention for poststroke upper limb rehabilitation: research protocol.

Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT

Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study

Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network

Outcomes of mechanical thrombectomy in acute stroke patients with atrial fibrillation detected after stroke versus known atrial fibrillation.

Safety and outcomes of different endovascular treatment techniques for anterior circulation ischaemic stroke in the elderly: data from the Imperial College Thrombectomy Registry.

Outcomes of mechanical thrombectomy in orally anticoagulated patients with anterior circulation large vessel occlusion: a propensity-matched analysis of the Imperial College Thrombectomy Registry.

Endovascular Thrombectomy with or without Intravenous Thrombolysis for Anterior Circulation Large Vessel Occlusion in the Imperial College London Thrombectomy Registry.

Extent of white matter lesion is associated with early hemorrhagic transformation in acute ischemic stroke related to atrial fibrillation

SARS-CoV-2 antibody seroprevalence in NHS healthcare workers in a large double-sited UK hospital

Impact of National Lockdown on the Hyperacute Stroke Care and Rapid Transient Ischaemic Attack Outpatient Service in a Comprehensive Tertiary Stroke Centre During the COVID-19 Pandemic

Delivering telemedicine consultations for patients with transient ischaemic attack during the COVID‐19 pandemic in a comprehensive tertiary stroke centre in the United Kingdom

Impact of COVID-19 Pandemic on a Regional Stroke Thrombectomy Service in the United Kingdom

Quantification of Motor Function Post-Stroke Using Novel Combination of Wearable Inertial and Mechanomyographic Sensors

Deep Learning for Robust Decomposition of High-Density Surface EMG Signals

Self-Directed Exergaming for Stroke Upper Limb Impairment Increases Exercise Dose Compared to Standard Care.

Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches

Collaborators (8)

Johanna Pitkänen

Daniel Rueckert

Sami Curtze

Jane Burridge

Dheeraj Kalladka

Joseph Kwan

Aldo Faisal

Adam Marcus

Make your next move.