Ralph T.H. Leijenaar

Ralph T.H. Leijenaar

Universiteit Maastricht

H-index: 42

Europe-Netherlands

About Ralph T.H. Leijenaar

Ralph T.H. Leijenaar, With an exceptional h-index of 42 and a recent h-index of 40 (since 2020), a distinguished researcher at Universiteit Maastricht, specializes in the field of Radiomics, advanced medical image analysis, artificial intelligence / machine learning, data science.

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

Image analysis method for improved clinical decision making

Creating a 3D-printed pelvic phantom to explore the impact of Magnetic Resonance (MR) scanner noise in radiomics analysis, a technical note.

External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients

Development and validation of an automated radiomic CT signature for detecting COVID-19

Exploring hypoxia in prostate cancer with T2-weighted magnetic resonance imaging radiomics and pimonidazole scoring

Privacy-preserving distributed machine learning from federated databases in healthcare

A review in radiomics: making personalized medicine a reality via routine imaging

Static FET PET radiomics for the differentiation of treatment-related changes from glioma progression

Ralph T.H. Leijenaar Information

University

Position

Postdoc at Maastricht the Netherlands

Citations(all)

22535

Citations(since 2020)

18686

Cited By

10419

hIndex(all)

42

hIndex(since 2020)

40

i10Index(all)

70

i10Index(since 2020)

67

Email

University Profile Page

Universiteit Maastricht

Google Scholar

View Google Scholar Profile

Ralph T.H. Leijenaar Skills & Research Interests

Radiomics

advanced medical image analysis

artificial intelligence / machine learning

data science

Top articles of Ralph T.H. Leijenaar

Title

Journal

Author(s)

Publication Date

Image analysis method for improved clinical decision making

2024/2/15

Creating a 3D-printed pelvic phantom to explore the impact of Magnetic Resonance (MR) scanner noise in radiomics analysis, a technical note.

Annals of 3D Printed Medicine

Richard Collier

Michelle Leech

Laure Marignol

John Gaffney

Ralph Leijenaar

...

2024/2/1

External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients

Scientific Reports

Ralph TH Leijenaar

Sean Walsh

Akshayaa Vaidyanathan

Lorenzo Aliboni

Victoria Lopez Sanchez

...

2023/5/3

Development and validation of an automated radiomic CT signature for detecting COVID-19

AI applications in routine clinical imaging: detection, segmentation, diagnosis, and prognosis

G Canivet

S Mathieu

E Eftaxia

P Lambin

N Tsoutzidis

...

2023

Exploring hypoxia in prostate cancer with T2-weighted magnetic resonance imaging radiomics and pimonidazole scoring

Anticancer Research

Michelle Leech

Ralph TH Leijenaar

Tord Hompland

John Gaffney

Heidi Lyng

...

2023/1/1

Privacy-preserving distributed machine learning from federated databases in healthcare

Distributed learning for optimal Radiomics knowledge

Fadila Zerka

Samir Barakat

Sean Walsh

Marta Bogowicz

Ralph TH Leijenaar

...

2022

A review in radiomics: making personalized medicine a reality via routine imaging

Julien Guiot

Akshayaa Vaidyanathan

Louis Deprez

Fadila Zerka

Denis Danthine

...

2022/1

Static FET PET radiomics for the differentiation of treatment-related changes from glioma progression

Journal of Neuro-oncology

Marguerite Müller

Oliver Winz

Robin Gutsche

Ralph TH Leijenaar

Martin Kocher

...

2022/9

An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography

ERJ Open Research

Akshayaa Vaidyanathan

Julien Guiot

Fadila Zerka

Flore Belmans

Ingrid Van Peufflik

...

2022/4/1

Radiomics for predicting lung cancer outcomes following radiotherapy: a systematic review

GM Walls

SOS Osman

KH Brown

KT Butterworth

GG Hanna

...

2022/3/1

A blockchain based approach for Privacy Preserving distributed learning-Grade Group Prediction for Prostate Cancer Patients

Distrib. Learn. Optim. Radiomics Knowl

Fadila Zerka

Visara Urovi

Akshayaa Vaidyanathan

Vikas Jaiman

RT Leijenaar

...

2022

PO-1800 Exploring hypoxia in prostate cancer with T2-weighted MRI radiomics and pimonidazole scoring.

Radiotherapy and Oncology

Michelle Leech

Ralph Leijenaar

Tord Hompland

John Gaffney

Heidi Lyng

...

2021/8/1

OC-0642 A radiomics based prognostic model for patients with head and neck squamous cell carcinoma

Radiotherapy and Oncology

S Keek

F Wesseling

H Woodruff

J van Timmeren

I Nauta

...

2021/8/1

Deciphering the glioblastoma phenotype by computed tomography radiomics

Radiotherapy and Oncology

Inge Compter

Maikel Verduin

Zhenwei Shi

Henry C Woodruff

Robert J Smeenk

...

2021/7/1

[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation

European Journal of Nuclear Medicine and Molecular Imaging

Marta Ferreira

Pierre Lovinfosse

Johanne Hermesse

Marjolein Decuypere

Caroline Rousseau

...

2021/10

A prospectively validated prognostic model for patients with locally advanced squamous cell carcinoma of the head and neck based on radiomics of computed tomography images

Cancers

Simon A Keek

Frederik WR Wesseling

Henry C Woodruff

Janita E van Timmeren

Irene H Nauta

...

2021/6/29

Comparison of radiomic pre-processing steps in the reproducible prediction of disease free survival across multi-scanners/centers

Marta Ferreira

Pierre Lovinfosse

Johanne Hermesse

Marjolein Decuypere

Caroline Rousseau

...

2021/9/8

Deep learning architecture for the classification of COVID-19 and others pneumonias sources on lung CT imaging

Akshayaa Vaidyanathan

Julien Guiot

Fadila Zerka

Louis Deprez

Denis Danthine

...

2021/9/5

Radiomics in lung diseases imaging: state-of-the-art for clinicians

Anne-Noëlle Frix

François Cousin

Turkey Refaee

Fabio Bottari

Akshayaa Vaidyanathan

...

2021/6/25

Prediction of outcome in COVID-19 patients based on clinical and radiomics chest CT data

Julien Guiot

Akshayaa Vaidyanathan

Fadila Zerka

Louis Deprez

Denis Danthine

...

2021/9/5

See List of Professors in Ralph T.H. Leijenaar University(Universiteit Maastricht)

Co-Authors

H-index: 122
Philippe Lambin

Philippe Lambin

Universiteit Maastricht

H-index: 112
John Quackenbush

John Quackenbush

Harvard University

H-index: 91
Ronald Boellaard

Ronald Boellaard

Vrije Universiteit Amsterdam

H-index: 86
Hugo Aerts

Hugo Aerts

Harvard University

H-index: 85
Benjamin Haibe-Kains

Benjamin Haibe-Kains

University of Toronto

H-index: 26
Ruud G.P.M. van Stiphout

Ruud G.P.M. van Stiphout

University of Oxford

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