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Onderzoeker
Siri Willems
- Disciplines:Artificiële intelligentie, Multimediaverwerking, Biologische systeemtechnologie, Signaalverwerking, Andere computer ingenieurswetenschappen, informatietechnologie en mathematische ingenieurswetenschappen, Medische beeldvorming en therapie
Affiliaties
- Beeld- en Spraakverwerking (PSI) (Afdeling)
Lid
Vanaf1 aug 2020 → Heden - Afdeling ESAT - PSI, Beeld- en Spraakverwerking (Afdeling)
Lid
Vanaf1 jan 2018 → 31 jul 2020
Projecten
1 - 1 of 1
- Op leren-gebaseerde computationele strategieën voor plan-adaptatie in beeld-geleide radiotherapie.Vanaf1 jul 2018 → 25 jan 2023Financiering: FWO Strategische Onderzoeksbeurs
Publicaties
1 - 10 van 15
- Clinical benefits of multi-modality gross tumor volume auto-delineation in head and neck cancer(2023)
Auteurs: Siri Willems, Frederik Maes, Sandra Nuyts
Pagina's: S261 - S262 - Learning-based Computational Strategies for Treatment Adaptation in Image-guided Radiotherapy(2023)
Auteurs: Siri Willems, Frederik Maes, Edmond Sterpin
- OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines(2022)
Auteurs: Siri Willems
- Treatment plan prediction for lung IMRT using deep learning based fluence map generation(2022)
Auteurs: Liesbeth Vandewinckele, Siri Willems, Maarten Lambrecht, Frederik Maes, Wouter Crijns
Pagina's: 44 - 54 - Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency(2022)
Auteurs: Siri Willems, Liesbeth Vandewinckele, Edmond Sterpin
- Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy(2022)
Auteurs: Siri Willems, Liesbeth Vandewinckele, Wouter Crijns, Frederik Maes, Caroline Weltens
Pagina's: 84 - 90 - Interobserver variability in organ at risk delineation in head and neck cancer(2021)
Auteurs: Siri Willems, Frederik Maes, Sandra Nuyts
- Artificial intelligence and machine learning for medical imaging: A technology review(2021)
Auteurs: Siri Willems, Liesbeth Vandewinckele, Steven Michiels, Edmond Sterpin
Pagina's: 242 - 256 - Learning from mistakes: An error-driven mechanism to improve segmentation performance based on expert feedback(2021)
Auteurs: Siri Willems, Edmond Sterpin, Wouter Crijns, Sandra Nuyts, Frederik Maes
Pagina's: 68 - 77 - Deep learning for elective neck delineation: More consistent and time efficient(2020)
Auteurs: Julie Van Der Veen, Siri Willems, Frederik Maes, Sandra Nuyts
Pagina's: 180 - 188