Dirk Timmerman

Dirk Timmerman

Katholieke Universiteit Leuven

H-index: 101

Europe-Belgium

About Dirk Timmerman

Dirk Timmerman, With an exceptional h-index of 101 and a recent h-index of 63 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of gynecologic ultrasound, diagnosis of tumors, early pregnancy.

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

Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors

Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound

Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA‐1 multinomial regression model …

ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies

How to perform standardized sonographic examination of Cesarean scar pregnancy in the first trimester

A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study

Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability

Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery

Dirk Timmerman Information

University

Position

Professor Gynecology ; Visiting Professor Imperial College London; Sacro Cuore Rome

Citations(all)

38653

Citations(since 2020)

18484

Cited By

26649

hIndex(all)

101

hIndex(since 2020)

63

i10Index(all)

360

i10Index(since 2020)

273

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

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Dirk Timmerman Skills & Research Interests

gynecologic ultrasound

diagnosis of tumors

early pregnancy

Top articles of Dirk Timmerman

Title

Journal

Author(s)

Publication Date

Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors

medRxiv

An Coosemans

Jolien Ceusters

Chiara Landolfo

Thaïs Baert

Wouter Froyman

...

2024

Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound

NPJ Precision Oncology

Jennifer F Barcroft

Kristofer Linton-Reid

Chiara Landolfo

Maya Al-Memar

Nina Parker

...

2024/2/20

Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA‐1 multinomial regression model …

Ultrasound in Obstetrics & Gynecology

R Heremans

L Wynants

L Valentin

FPG Leone

MA Pascual

...

2024/4

ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies

Lasai Barreñada

Ashleigh Ledger

Paula Dhiman

Gary Collins

Laure Wynants

...

2024

How to perform standardized sonographic examination of Cesarean scar pregnancy in the first trimester

Ultrasound in Obstetrics & Gynecology

C Verberkt

IPM Jordans

T van den Bosch

D Timmerman

T Bourne

...

2024/2/3

A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study

Statistics in Medicine

Zoë S Dunias

Ben Van Calster

Dirk Timmerman

Anne‐Laure Boulesteix

Maarten van Smeden

2024/3/15

Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability

European Journal of Obstetrics & Gynecology and Reproductive Biology

Maya Al-Memar

Hanine Fourie

Thibaut Vaulet

Kim Lawson

Shabnam Bobdiwala

...

2024/1/1

Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery

British Journal of Cancer

Chiara Landolfo

Jolien Ceusters

Lil Valentin

Wouter Froyman

Toon Van Gorp

...

2024/1/19

Validation of ADNEX and IOTA two‐step strategy and estimation of risk of complications during follow‐up of adnexal masses in low‐risk population

Ultrasound in Obstetrics & Gynecology

MA Pascual

L Vancraeynest

S Timmerman

J Ceusters

A Ledger

...

2024/3/13

Investigating harms of testing for ovarian cancer–psychological outcomes and cancer conversion rates in women with symptoms of ovarian cancer

Ridhi Aggarwal

Jon Deeks

Sue Mallett

Sean Kehoe

Dirk Timmerman

...

2024

579 Refining ovarian cancer test accuracy scores: a multicentre, prospective cohort study investigating diagnostic accuracy in women with symptoms of suspected ovarian cancer …

Sudha Sundar

Ridhi Agarwal

Jon Deeks

Sue Mallett

Katie Scandrett

...

2024/3/1

Alleviating cell-free DNA sequencing biases with optimal transport

bioRxiv

Antoine Passemiers

Tatjana Jatsenko

Adriaan Vanderstichele

Pieter Busschaert

An Coosemans

...

2024

Understanding random forests and overfitting: a visualization and simulation study

arXiv preprint arXiv:2402.18612

Lasai Barreñada

Paula Dhiman

Dirk Timmerman

Anne-Laure Boulesteix

Ben Van Calster

2024/2/28

Real-world assessment of the patient-centredness of endometriosis care: European countries benchmarked by patients

EAF Dancet

L Ameye

W Sermeus

M Welkenhuysen

KT Zondervan

...

2023/3/1

Addendum to the consensus opinion from the International Deep Endometriosis Analysis (IDEA) group: sonographic evaluation of the parametrium

Ultrasound in Obstetrics & Gynecology

S Guerriero

G Condous

M Rolla

G Hudelist

S Ferrero

...

2023/12/6

O-080 An umbrella review of meta-analyses regarding the incidence of female specific malignancies following fertility treatment

L Kasaven

S Saso

J Barcroft

N Galazis

K Grewal

...

2023/6/1

OC03. 06: Validation of ADNEX and the IOTA two‐step strategy and estimation of risk of complications during follow‐up of adnexal masses in a low‐risk population

Ultrasound in Obstetrics & Gynecology

M Pascual

L Vancraeynest

S Timmerman

J Ceusters

A Ledger

...

2023/10

Prospective geographical and temporal validation of three published mathematical models to calculate risk of endometrial malignancy in patients with postmenopausal bleeding

Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology

R Heremans

T Van den Bosch

P Sladkevicius

MA Pascual

JL Alcazar

...

2023/10

Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm

BMC Medical Research Methodology

Ashleigh Ledger

Jolien Ceusters

Lil Valentin

Antonia Testa

Caroline Van Holsbeke

...

2023/11/24

Disease Detection in Liquid Biopsies

2023/2/9

See List of Professors in Dirk Timmerman University(Katholieke Universiteit Leuven)