Timmerman, Dirk

ESMO-ESGO Consensus Conference Recommendations on Ovarian Cancer: Pathology and Molecular Biology, Early and Advanced Stages, Borderline Tumours and Recurrent Disease

Colombo, N., Sessa, C., du Bois, A., Ledermann, J., McCluggage, W. G., McNeish, I., Morice, P., Pignata, S., Ray-Coquard, I., Vergote, I., et al. (2019) · Annals of Oncology

Ovarian cancer diagnosis and treatmentBRCA gene mutations in cancer

Cited by 1,197

Systematic approach to sonographic evaluation of the pelvis in women with suspected endometriosis, including terms, definitions and measurements: a consensus opinion from the International Deep Endometriosis Analysis (IDEA) group

Guerriero, S., Condous, G., van den Bosch, T., Valentin, L., Leone, F. P. G., Van Schoubroeck, D., Exacoustos, C., Installé, A. J. F., Martins, W. P., Abrao, M. S., et al. (2016) · Ultrasound in Obstetrics & Gynecology

Endometriosis Research and TreatmentGynecological conditions and treatments

Cited by 900

Simple ultrasound-based rules for the diagnosis of ovarian cancer

Timmerman, D., Testa, A. C., Bourne, T., Ameye, L., Jurkovic, D., Van Holsbeke, C., Paladini, D., Van Calster, B., Vergote, I., Van Huffel, S., et al. (2008) · Ultrasound in Obstetrics & Gynecology

Ovarian cancer diagnosis and treatmentBreast Lesions and Carcinomas

Cited by 613

High prevalence of endometriosis in infertile women with normal ovulation and normospermic partners

Meuleman, C., Vandenabeele, B., Fieuws, S., Spiessens, C., Timmerman, D., & D'Hooghe, T. (2009) · Fertility and Sterility

Endometriosis Research and TreatmentGynecological conditions and treatments

Cited by 606

Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

Van Calster, B., Van Hoorde, K., Valentin, L., Testa, A. C., Fischerova, D., Van Holsbeke, C., Savelli, L., Franchi, D., Epstein, E., Kaijser, J., et al. (2014) · BMJ

Ovarian cancer diagnosis and treatmentBRCA gene mutations in cancer

Cited by 510

Development of organoids from mouse and human endometrium showing endometrial epithelium physiology and long-term expandability

Boretto, M., Cox, B., Noben, M., Hendriks, N., Fassbender, A., Roose, H., Amant, F., Timmerman, D., Tomassetti, C., Vanhie, A., et al. (2017) · Development

Reproductive Biology and FertilityReproductive System and Pregnancy

Cited by 459

Posttraumatic stress, anxiety and depression following miscarriage and ectopic pregnancy: a multicenter, prospective, cohort study

Farren, J., Jalmbrant, M., Falconieri, N., Mitchell-Jones, N., Bobdiwala, S., Al-Memar, M., Tapp, S., Van Calster, B., Wynants, L., Timmerman, D., et al. (2020) · American Journal of Obstetrics and Gynecology

Maternal Mental Health During Pregnancy and PostpartumGrief, Bereavement, and Mental Health

Cited by 299

The psychological impact of early pregnancy loss

Farren, J., Mitchell-Jones, N., Verbakel, J. Y., Timmerman, D., Jalmbrant, M., & Bourne, T. (2018) · Human Reproduction Update

Maternal Mental Health During Pregnancy and PostpartumGrief, Bereavement, and Mental Health

Cited by 268

The Thessaloniki ESHRE/ESGE consensus on diagnosis of female genital anomalies

Grimbizis, G. F., Di Spiezio Sardo, A., Saravelos, S. H., Gordts, S., Exacoustos, C., Van Schoubroeck, D., Bermejo, C., Amso, N. N., Nargund, G., Timmerman, D., et al. (2016) · Human Reproduction

Gynecological conditions and treatmentsSexual Differentiation and Disorders

Cited by 232

Predictive analytics in health care: how can we know it works?

Van Calster, B., Wynants, L., Timmerman, D., Steyerberg, E. W., & Collins, G. S. (2019) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 223

Three myths about risk thresholds for prediction models

on behalf of the Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Wynants, L., van Smeden, M., McLernon, D. J., Timmerman, D., Steyerberg, E. W., & Van Calster, B. (2019) · BMC Medicine

Statistical Methods in EpidemiologyClinical Reasoning and Diagnostic Skills

Cited by 213

Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models

Maenhoudt, N., Defraye, C., Boretto, M., Jan, Z., Heremans, R., Boeckx, B., Hermans, F., Arijs, I., Cox, B., Van Nieuwenhuysen, E., et al. (2020) · Stem Cell Reports

Ovarian cancer diagnosis and treatmentCancer Cells and Metastasis

Cited by 186

Anti-TNF- treatment for deep endometriosis-associated pain: a randomized placebo-controlled trial

Koninckx, P. R., Craessaerts, M., Timmerman, D., Cornillie, F., & Kennedy, S. (2008) · Human Reproduction

Endometriosis Research and TreatmentEctopic Pregnancy Diagnosis and Management

Cited by 165

The association between vaginal bacterial composition and miscarriage: a nested case-control study

Al‐Memar, M., Bobdiwala, S., Fourie, H., Mannino, R., Lee, Y., Smith, A., Marchesi, Jr., Timmerman, D., Bourne, T., Bennett, P., et al. (2020) · BJOG: An International Journal of Obstetrics & Gynaecology

Reproductive tract infections researchGut microbiota and health

Cited by 140

Artificial neural network models for the preoperative discrimination between malignant and benign adnexal masses

Timmerman, D., Verrelst, H., Bourne, T. H., De Moor, B., Collins, W. P., Vergote, I., & Vandewalle, J. (1999) · Ultrasound in Obstetrics & Gynecology

Ovarian cancer diagnosis and treatmentAI in cancer detection

Cited by 134

ESGO/ISUOG/IOTA/ESGE Consensus Statement on preoperative diagnosis of ovarian tumors

Timmerman, D., Planchamp, F., Bourne, T., Landolfo, C., du Bois, A., Chiva, L., Cibula, D., Concin, N., Fischerova, D., Froyman, W., et al. (2021) · Ultrasound in Obstetrics & Gynecology

Ovarian cancer diagnosis and treatmentMRI in cancer diagnosis

Cited by 114

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

Van Calster, B., Collins, G. S., Vickers, A. J., Wynants, L., Kerr, K. F., Barreñada, L., Varoquaux, G., Singh, K., Moons, K. G., Hernandez-Boussard, T., et al. (2025) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationStatistical Methods in Epidemiology

Cited by 112

Clinical implications of intra‐ and interobserver reproducibility of transvaginal sonographic measurement of gestational sac and crown–rump length at 6–9 weeks' gestation

Pexsters, A., Luts, J., Van Schoubroeck, D., Bottomley, C., Van Calster, B., Van Huffel, S., Abdallah, Y., D'Hooghe, T., Lees, C., Timmerman, D., et al. (2011) · Ultrasound in Obstetrics & Gynecology

Prenatal Screening and DiagnosticsReliability and Agreement in Measurement

Cited by 96

External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses

Van Holsbeke, C., Van Calster, B., Bourne, T., Ajossa, S., Testa, A. C., Guerriero, S., Fruscio, R., Lissoni, A. A., Czekierdowski, A., Savelli, L., et al. (2012) · Clinical Cancer Research

Ovarian cancer diagnosis and treatmentAI in cancer detection

Cited by 87

A spline-based tool to assess and visualize the calibration of multiclass risk predictions

Van Hoorde, K., Van Huffel, S., Timmerman, D., Bourne, T., & Van Calster, B. (2015) · Journal of Biomedical Informatics

Statistical Methods in EpidemiologyImbalanced Data Classification Techniques

Cited by 85

Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

Martínez-Más, J., Bueno-Crespo, A., Khazendar, S., Remezal-Solano, M., Martínez-Cendán, J.-P., Jassim, S., Du, H., Al Assam, H., Bourne, T., & Timmerman, D. (2019) · PLOS ONE

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 70

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

Barreñada, L., Ledger, A., Dhiman, P., Collins, G., Wynants, L., Verbakel, J. Y., Timmerman, D., Valentin, L., & Van Calster, B. (2024) · BMJ Medicine

Ovarian cancer diagnosis and treatmentBRCA gene mutations in cancer

Cited by 42

An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses

Al-karawi, D., Al-Assam, H., Du, H., Sayasneh, A., Landolfo, C., Timmerman, D., Bourne, T., & Jassim, S. (2021) · Ultrasonic Imaging

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 31

ISUOG Consensus Statement on rationalization of gynecological ultrasound services in context of SARS-CoV-2

Bourne, T., Leonardi, M., Kyriacou, C., Al‐Memar, M., Landolfo, C., Cibula, D., Condous, G., Metzger, U., Fischerova, D., Timmerman, D., et al. (2020) · Ultrasound in Obstetrics & Gynecology

COVID-19 Impact on ReproductionCOVID-19 and healthcare impacts

Cited by 29