Researcher
Dirk Timmerman
- Disciplines:Laboratory medicine, Palliative care and end-of-life care, Regenerative medicine, Other basic sciences, Other health sciences, Nursing, Other paramedical sciences, Other translational sciences, Other medical and health sciences
Affiliations
- Woman and Child (Division)
Member
From1 Apr 2013 → Today
Projects
1 - 10 of 27
- The ADNEX risk model for ovarian cancer diagnosis: improving performance across different hospitals and examinersFrom22 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- The ADNEX risk model for ovarian cancer diagnosis: improving performance across different hospitals and examinersFrom1 Jan 2022 → TodayFunding: FWO research project (including WEAVE projects)
- Optimal surgical planning for gynaecological patientsFrom1 Oct 2021 → TodayFunding: BOF - projects
- IOTA-AI: AI-assisted automated detection of ovarian cancer on ultrasound imagingFrom1 Oct 2021 → 30 Sep 2023Funding: IOF - technology validation in lab
- The role of the vaginal microbiome in spontaneous preterm birth.From15 Jan 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Three dimensional ultrasound and artificial intelligence in the characterization of adnexal massesFrom7 Oct 2019 → 7 Oct 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Cystic and Deep Endometriosis: From diagnosis to innovations in surgeryFrom1 Aug 2018 → 1 Aug 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
- Single-cell omics in high throughput and at spatial resolutionFrom1 May 2018 → 30 Apr 2022Funding: FWO Medium Size Research Infrastructure
- Ovarian cancer organoids as a novel in vitro model to elucidate pathogenesis and providing a drug-screening platformFrom30 Jan 2018 → 31 Oct 2023Funding: FWO fellowships, BOF - doctoral mandates
- Searching for new leads in the diagnosis of ovarian cancerFrom1 Oct 2017 → 30 Sep 2021Funding: Foundations, funds and other with scientific goal
Publications
1 - 10 of 429
- Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery(2024)
Authors: Jolien Ceusters, Wouter Froyman, Toon Van Gorp, Ruben Heremans, Thaïs Baert, Roxanne Wouters, Anne-Sophie Van Rompuy, An Coosemans, Dirk Timmerman, Ben Van Calster
- Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study.(2024)
Authors: Ruben Heremans, Laure Wynants, Tom Bourne, Dirk Timmerman, Thierry Van den Bosch
Pages: 556 - 563 - Clinical Judgment, Ultrasonography and Organoid Technology to improve Diagnostic and Therapeutic Strategies for Endometrial Pathology – An Endometrial Elegy(2024)
Authors: Ruben Heremans, Thierry Van den Bosch, Hugo Vankelecom, Dirk Timmerman
- A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study(2024)
Authors: Ben Van Calster, Dirk Timmerman
- Updating the M6 pregnancy of unknown location risk prediction model including an evaluation of clinical factors.(2024)
Authors: Ashleigh Ledger, Dirk Timmerman, Ben Van Calster, Tom Bourne
- Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound(2024)
Authors: Dirk Timmerman
- ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies(2024)
Authors: Ashleigh Ledger, Laure Wynants, Jan Verbakel, Dirk Timmerman, Ben Van Calster
- Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability(2024)
Authors: Thibaut Vaulet, Bart De Moor, Dirk Timmerman
Pages: 187 - 193 - Sonographic, Demographic, and Clinical Characteristics of Pre- and Postmenopausal Women with Endometrial Cancer; Results from a Post Hoc Analysis of the IETA4 (International Endometrial Tumor Analysis) Multicenter Cohort(2024)
Authors: Dirk Timmerman, Thierry Van den Bosch
- Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm(2023)
Authors: Ashleigh Ledger, Jolien Ceusters, Wouter Froyman, Dirk Timmerman, Ben Van Calster
Patents
1 - 3 of 3
- Disease detection in liquid biopsies (Inventor)
- Disease detection in liquid biopsies (Inventor)
- Methods for diagnosing ovarian cancer (Inventor)