Eyjolfur Gudmundsson

About Eyjolfur Gudmundsson

Eyjolfur Gudmundsson, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University College London, specializes in the field of lung fibrosis, malignant pleural mesothelioma, image analysis, machine learning, deep convolutional.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mortality surrogates in combined pulmonary fibrosis and emphysema

Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)

Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis

A data-centric deep learning approach to airway segmentation

Association of Change in Upper Lung Zone Radiologic Pleuroparenchymal Fibroelastosis (PPFE) With Mortality in a Lung Cancer Screening Cohort

Delineating associations of progressive pleuroparenchymal fibroelastosis in patients with pulmonary fibrosis

Temporal progression of mediastinal lymphadenopathy in idiopathic pulmonary fibrosis

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning

Eyjolfur Gudmundsson Information

University

Position

Research Associate Centre of Medical Imaging

Citations(all)

151

Citations(since 2020)

132

Cited By

62

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Eyjolfur Gudmundsson Skills & Research Interests

lung fibrosis

malignant pleural mesothelioma

image analysis

machine learning

deep convolutional

Top articles of Eyjolfur Gudmundsson

Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)

Journal of Microscopy

2021/7

Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis

European radiology

2023/11

A data-centric deep learning approach to airway segmentation

arXiv preprint arXiv:2308.00008

2023/7/29

Association of Change in Upper Lung Zone Radiologic Pleuroparenchymal Fibroelastosis (PPFE) With Mortality in a Lung Cancer Screening Cohort

2023/5

Delineating associations of progressive pleuroparenchymal fibroelastosis in patients with pulmonary fibrosis

ERJ Open Research

2023/3/1

Temporal progression of mediastinal lymphadenopathy in idiopathic pulmonary fibrosis

European Respiratory Journal

2022/4/1

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning

arXiv preprint arXiv:2203.16606

2022/3/30

Prognostic imaging biomarker discovery in survival analysis for idiopathic pulmonary fibrosis

2022/9/17

Convolutional Neural Networks for the Automated Segmentation of Malignant Pleural Mesothelioma: Analysis of Performance Based On Probability Map Threshold

NDT in Aerospace 2021, Virutally

2021

Evaluation of Change in Upper Lung Zone Radiologic Pleuroparenchymal Fibroelastosis (PPFE) as a Predictor of Mortality in Idiopathic Pulmonary Fibrosis (IPF)

2022/5

Imaging in Pleural Mesothelioma: A Review of the 15th International Conference of the International Mesothelioma Interest Group

2021/12/16

Eyjolfur Gudmundsson
Eyjolfur Gudmundsson

H-Index: 4

Ritu R Gill
Ritu R Gill

H-Index: 23

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

EClinicalMedicine

2021/8/1

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

ERJ Open Research

2021/7/1

Effects of Visually Scored Pleuroparenchymal Fibroelastosis Severity on Functional Decline and Mortality in IPF Patients

2021/5

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

Journal of Medical Imaging

2020/1/1

Eyjolfur Gudmundsson
Eyjolfur Gudmundsson

H-Index: 4

Feng Li
Feng Li

H-Index: 5

See List of Professors in Eyjolfur Gudmundsson University(University College London)

Co-Authors

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