Concepedia

Author

Eyjólfur Gudmundsson

University College London Hospitals NHS Foundation TrustORCID

Also Known As

E. Gudmundsson, E.O. Gudmundsson, Eyjolfur Gudmundsson, Eyjólfur Gudmundsson, Gudmundsson, Eyjolfur, Gudmundsson, Eyjólfur

30

Publications

265

Citations

10

H-Index

14

Concepts

All Affiliations

University College London Hospitals NHS Foundation TrustUniversity College LondonEge UniversityImperial College LondonSt. Antonius Ziekenhuis
EG

About

Eyjólfur Gudmundsson is an author at University College London Hospitals NHS Foundation Trust specializing in medical imaging, biomedical imaging, and health sciences.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Health Sciences

2

2

38

2

Biomedical Imaging

2

2

38

3

Engineering

1

1

23

4

Pathology

1

1

23

5

Deep Learning

1

1

23

Eyjólfur Gudmundsson

×

9

Publications

159

Citations

9

H-Index

YearCitations

Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans

Eyjólfur Gudmundsson, Christopher M. Straus, Samuel G. Armato

Journal of Medical Imaging

2018

24

Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion

Eyjólfur Gudmundsson, Christopher M. Straus, Feng Li,

Journal of Medical Imaging

2020

23

Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning

Shahab Aslani, Pavan Alluri, Eyjólfur Gudmundsson,

Computerized Medical Imaging and Graphics

2024

21

Mortality surrogates in combined pulmonary fibrosis and emphysema

An Zhao, Eyjólfur Gudmundsson, Nesrin Moğulkoç,

European Respiratory Journal

2023

18

Pleuroparenchymal fibroelastosis in idiopathic pulmonary fibrosis: Survival analysis using visual and computer-based computed tomography assessment

Eyjólfur Gudmundsson, An Zhao, Nesrin Moğulkoç,

EClinicalMedicine

2021

17

Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance

Wing Keung Cheung, Ashkan Pakzad, Nesrin Moğulkoç,

Journal Of Big Data

2024

16

Dynamic contrast-enhanced CT for the assessment of tumour response in malignant pleural mesothelioma: a pilot study

Eyjólfur Gudmundsson, Zacariah E. Labby, Christopher M. Straus,

European Radiology

2018

15

Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis

Wing Keung Cheung, Ashkan Pakzad, Nesrin Moğulkoç,

European Radiology

2023

15

Mortality in combined pulmonary fibrosis and emphysema patients is determined by the sum of pulmonary fibrosis and emphysema

An Zhao, Eyjólfur Gudmundsson, Nesrin Moğulkoç,

ERJ Open Research

2021

10

Page 1