Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bas H.M. van der Velden"'
Autor:
Max A.A. Ragusi, Tycho Bismeijer, Bas H.M. van der Velden, Claudette E. Loo, Sander Canisius, Jelle Wesseling, Lodewyk F.A. Wessels, Sjoerd G. Elias, Kenneth G.A. Gilhuijs
Publikováno v:
Breast, Vol 60, Iss , Pp 230-237 (2021)
Purpose: To assess whether contralateral parenchymal enhancement (CPE) on MRI is associated with gene expression pathways in ER+/HER2-breast cancer, and if so, whether such pathways are related to survival. Methods: Preoperative breast MRIs were anal
Externí odkaz:
https://doaj.org/article/a7a1e711194c46f9bfc41983bd3be40b
Autor:
Jeanine E. Vasmel, MD, Maureen L. Groot Koerkamp, MSc, Stefano Mandija, PhD, Wouter B. Veldhuis, PhD, Maaike R. Moman, PhD, Martijn Froeling, PhD, Bas H.M. van der Velden, PhD, Ramona K. Charaghvandi, PhD, Celien P.H. Vreuls, PhD, Paul J. van Diest, PhD, A.M. Gijs van Leeuwen, MD, Joost van Gorp, PhD, Marielle E.P. Philippens, PhD, Bram van Asselen, PhD, Jan J.W. Lagendijk, PhD, Helena M. Verkooijen, PhD, H.J.G. Desirée van den Bongard, PhD, Antonetta C. Houweling, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 2, Pp 100854- (2022)
Purpose: We aimed to evaluate changes in dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) magnetic resonance imaging (MRI) scans acquired before and after single-dose ablative neoadjuvant partial breast irradiation (NA-PBI), and explore th
Externí odkaz:
https://doaj.org/article/751cb4f60910424aab7700d239593d68
Autor:
Kenneth G.A. Gilhuijs, Lodewyk F.A. Wessels, Max A. Viergever, Claudette E. Loo, Tycho Bismeijer, Sjoerd G. Elias, Bas H.M. van der Velden
Purpose: To determine whether markers of healthy breast stroma are able to select a subgroup of patients at low risk of death or metastasis from patients considered at high risk according to routine markers of the tumor.Experimental Design: Patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::284466bcf6f97fbb91c584e2eddc9c93
https://doi.org/10.1158/1078-0432.c.6526788.v1
https://doi.org/10.1158/1078-0432.c.6526788.v1
Autor:
Kenneth G.A. Gilhuijs, Lodewyk F.A. Wessels, Max A. Viergever, Claudette E. Loo, Tycho Bismeijer, Sjoerd G. Elias, Bas H.M. van der Velden
Competing risk analysis; Cox proportional hazards models are shown for overall survival, breast�cancer related death, and non�breast cancer related death. For each model, pooled hazard ratios (HR) and 95% confidence intervals (CI) are s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19c401d7135db1404a9f6e7ecda3cfca
https://doi.org/10.1158/1078-0432.22467927
https://doi.org/10.1158/1078-0432.22467927
Autor:
Margot Jak, Bas H.M. van der Velden, Bart de Keizer, Sjoerd G Elias, Monique C. Minnema, Kenneth G.A. Gilhuijs
Publikováno v:
Blood : journal of the American Society of Hematology 140 (2022) Supplement 1
Blood : journal of the American Society of Hematology, 140(Supplement 1), 1919-1920
Blood : journal of the American Society of Hematology, 140(Supplement 1), 1919-1920
Introduction In the pivotal JULIET trial patients with relapsed or refractory Diffuse Large B cell Lymphoma (DLBC) received a single intravenous infusion of Tisagenlecleucel. In long-term follow-up analysis, an overall response rate (ORR) of 53% and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb454c7b4730863a60cafbce0692788
https://research.wur.nl/en/publications/prediction-of-poor-outcome-after-tisagenlecleucel-in-patients-wit
https://research.wur.nl/en/publications/prediction-of-poor-outcome-after-tisagenlecleucel-in-patients-wit
Autor:
Erik Verburg, Carla H. van Gils, Bas H.M. van der Velden, Marije F. Bakker, Ruud M. Pijnappel, Wouter B. Veldhuis, Kenneth G.A. Gilhuijs
Publikováno v:
Investigative Radiology Publish Ahead of Print (2022)
Investigative Radiology, Publish Ahead of
Investigative Radiology, Publish Ahead of
Objectives Computer-aided triaging (CAT) and computer-aided diagnosis (CAD) of screening breast magnetic resonance imaging have shown potential to reduce the workload of radiologists in the context of dismissing normal breast scans and dismissing ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67bf0dbd2fda1911f1c928369c5c5af
https://doi.org/10.1097/rli.0000000000000934
https://doi.org/10.1097/rli.0000000000000934
Publikováno v:
Medical Image Analysis, 79
Medical Image Analysis 79 (2022)
Medical Image Analysis 79 (2022)
With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis. This survey presents an overview of eXplainable Artificial Intelligenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9312072ab7ea8c4de480422a6e42d982
https://research.wur.nl/en/publications/explainable-artificial-intelligence-xai-in-deep-learning-based-me
https://research.wur.nl/en/publications/explainable-artificial-intelligence-xai-in-deep-learning-based-me
Autor:
Max Ragusi, Bas H.M. van der Velden, Marissa C. van Maaren, Elsken van der Wall, Carla H. van Gils, Ruud M. Pijnappel, Kenneth G.A. Gilhuijs, Sjoerd G. Elias
Purpose: Although adjuvant systemic therapy (AST) helps increase breast cancer-specific survival (BCSS), there is a growing concern for overtreatment. By estimating the expected BCSS of AST using PREDICT, this study aims to quantify the number of pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca4dfb072a14b03dfba029ac99fe6d93
https://doi.org/10.21203/rs.3.rs-1163720/v1
https://doi.org/10.21203/rs.3.rs-1163720/v1