Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Sanne Engelen"'
Publikováno v:
Life, Vol 14, Iss 7, p 788 (2024)
Hypoglossal nerve stimulation (HGNS) has emerged as a widespread and innovative treatment option for selected moderate-to-severe obstructive sleep apnea (OSA) patients who cannot be treated effectively with traditional treatment modalities. In this o
Externí odkaz:
https://doaj.org/article/2258c704785a426ebd3de4d21fefac63
Autor:
Anna Koot, Rosella Hermens, Petronella Ottevanger, Romana Netea-Maier, Peep Stalmeier, the COMBO study group, Marieke Snel, Noortje van der Kleij-Corssmit, Johannes Bonenkamp, Koen Dreijerink, Evelien van Dam, Grard Nieuwenhuijzen, Mariel Keemers, Lieke Welling, Iris van der Ploeg, Sanne Engelen, Danielle Dercks, Frans Geenen
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundPatient decision aids (PtDAs) are structured clinical tools that facilitate shared decision-making. Two important treatment decisions for patients with differentiated thyroid cancer (DTC), which could benefit from PtDAs, are as follows (1):
Externí odkaz:
https://doaj.org/article/fe514fc99b114bbb8f803ccac5c1afb8
Autor:
Kristien B. I. M. Keymeulen, Sandra M. E. Geurts, Loes F. S. Kooreman, Lucien E. M. Duijm, Sanne Engelen, Sigrid Vanwetswinkel, Ernest Luiten, Sabine Siesling, Adri C. Voogd, Vivianne C. G. Tjan-Heijnen
Publikováno v:
European Radiology, 33(3), 2209-2217. Springer, Cham
Objectives For patients with ductal carcinoma in situ (DCIS), data about the impact of breast MRI at primary diagnosis on the incidence and characteristics of contralateral breast cancers are scarce. Methods We selected all 8486 women diagnosed with
Autor:
Kristien B I M, Keymeulen, Sandra M E, Geurts, Loes F S, Kooreman, Lucien E M, Duijm, Sanne, Engelen, Sigrid, Vanwetswinkel, Ernest, Luiten, Sabine, Siesling, Adri C, Voogd, Vivianne C G, Tjan-Heijnen
Publikováno v:
European radiology.
For patients with ductal carcinoma in situ (DCIS), data about the impact of breast MRI at primary diagnosis on the incidence and characteristics of contralateral breast cancers are scarce.We selected all 8486 women diagnosed with primary DCIS in the
Autor:
Marissa Vane, Fenna Traa, Lori van Roozendaal, Sander van Kuijk, Sanne Engelen, Marissa van Maaren, Sabine Siesling, Johannes de Wilt, Marjolein Smidt
Purpose The prognostic stage group and Bioscore are novel staging systems for breast cancer patients. They provide a better view on five-year disease-specific survival (DSS) compared to the traditional staging system. Five-year follow-up might not be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb0289a0eecbe7de4ebca3cb5c8c2cc6
https://doi.org/10.21203/rs.3.rs-1396504/v1
https://doi.org/10.21203/rs.3.rs-1396504/v1
Autor:
Kristien Keymeulen, Sandra Geurts, Loes Kooreman, Lucien Duijm, Sanne Engelen, Sigrid Vanwetswinkel, Ernest Luiten, Sabine Siesling, Adri Voogd, Vivianne Tjan-Heijnen
Publikováno v:
Cancer Research. 82:P3-03
Background: For patients with ductal carcinoma in situ (DCIS), data about contralateral breast cancers detected by MRI at primary diagnosis and the impact of MRI use on the incidence and stage of contralateral breast cancers during follow-up are scar
Autor:
Heuvelings, Danique J. I., van der Horst, Jishmaël, Pelzer, Fanny, Aarts, Frits, Engelen, Sanne
Publikováno v:
Advances in Skin & Wound Care; Nov/Dec2024, Vol. 37 Issue 11/12, p1-6, 6p
Publikováno v:
Austrian Journal of Statistics, Vol 34, Iss 2 (2016)
In this paper we compare three procedures for robust Principal Components Analysis (PCA). The first method is called ROBPCA (see Hubert et al., 2005). It combines projection pursuit ideas with robust covariance estimation. The original algorithm for
Autor:
Mia Hubert, Sanne Engelen
Publikováno v:
Analytica Chimica Acta. 705:155-165
To explore multi-way data, different methods have been proposed. Here, we study the popular PARAFAC (Parallel factor analysis) model, which expresses multi-way data in a more compact way, without ignoring the underlying complex structure. To estimate
Publikováno v:
Journal of Chemometrics. 23:124-131
Parallel factor analysis (PARAFAC) is a widespread method for modeling fluorescence data by means of an alternating least squares procedure. Consequently, the PARAFAC estimates are highly influenced by outlying excitation–emission landscapes (EEM)