Lisanne Van Dijk Leeuwarden, Friesland, Nederland professioneel profiel LinkedIn
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Lisanne van Dijk via Scopus - Elsevier Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy Advances in Radiation Oncology 2023 | Journal article DOI: 10.1016/j.adro.2022.101163 EID: 2-s2.0-85147366664 Part of ISSN: 24521094
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Lisanne V van Dijk 1 , Maria Thor 2 , Roel J H M Steenbakkers 3 , Aditya Apte 2 , Tian-Tian Zhai 3 , Ronald Borra 4 , Walter Noordzij 5 , Cherry Estilo 6 , Nancy Lee 7 , Johannes A Langendijk 3 , Joseph O Deasy 2 , Nanna M Sijtsema 3
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Lisanne V van Dijk 1 , Charlotte L Brouwer 2 , Arjen van der Schaaf 2 , Johannes G M Burgerhof 3 , Roelof J Beukinga 2 , Johannes A Langendijk 2 , Nanna M Sijtsema 2 , Roel J H M Steenbakkers 2 Affiliations 1 Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands. Electronic address: l.v.
Lisanne van Raalte Wijkverpleegkundige Oude en Nieuwe Land LinkedIn
Lisanne V van Dijk. Assistant Professor at UMCG. Verified email at umcg.nl. Radiomics NTCP TCP modeling Image Biomarkers Proton therapy multi-modality imaging. Articles Cited by Public access.. W Schaake, A van der Schaaf, LV van Dijk, ACM van den Bergh,. PLoS One 13 (7), e0197757, 2018. 33: 2018:
Lisanne van Dijk is 29 jaar, getrouwd en moeder van drie dochters. Sinds vier jaar is ze bewust
In short, Lisanne van Dijk's research entails the following: Deep learning to Enhance Therapeutic Outcomes and toXicity for LUNG cancer patients (DETOX-LUNG) Radiotherapy is an important treatment for lung cancer patients, yet they are often faced with severe toxicities due to radiation damage. These toxicities do not only have a big impact on.
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Lisanne van Dijk. 0000-0002-9515-5616. Follow. Publications. Black bone MRI morphometry for mandibular cortical bone measurement in head and neck cancer patients: Prospective method comparison with CT; Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas;
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PMCID: PMC8906058 DOI: 10.1016/j.ijrobp.2021.04.042 Abstract Purpose: Osteoradionecrosis (ORN) of the mandible represents a severe, debilitating complication of radiation therapy (RT) for head and neck cancer (HNC). At present, no normal tissue complication probability (NTCP) models for risk of ORN exist.
Lisanne van der Heijden Muziek
Background: The goal of this study was to comprehensively investigate the association of chemotherapy with trajectories of acute symptom development and late symptom recovery in patients with oropharyngeal cancer (OPC) by comparing symptom burden between induction chemotherapy followed by concurrent chemoradiotherapy (ICRT), concurrent chemo-rad.
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Lisanne Van Dijk's 7 research works with 8 citations and 258 reads, including: DASS Good: Explainable Data Mining of Spatial Cohort Data
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PMID: 31653573 DOI: 10.1016/j.radonc.2019.09.022 Abstract Introduction: Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN radiotherapy and for investigating the relationships between radiation dose to OARs and radiation-induced side effects.
Lisanne Van Dijk Leeuwarden, Friesland, Nederland professioneel profiel LinkedIn
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Lisanne V. van Dijk. Department of Radiation Oncology, The University of Texas MD Anderson Cancer, 77030, Houston, TX, USA, Clifton D. Fuller. Department of Radiation Oncology, The University of Texas MD Anderson Cancer, 77030, Houston, TX, USA
Lisanne van Dijk Notarieel medewerker Veen en Veste Notarissen LinkedIn
UMCG; MDACC - Cited by 3,584 - Radiomics - NTCP TCP modeling - Image Biomarkers - Proton therapy - multi-modality imaging
Lisanne van Dijk De Haagse Hogeschool / The Hague University of Applied Sciences Tilburg
dr. L.V. (Lisanne) van Dijk Assistant Professor Faculty of Medical Sciences Telephone: E-mail: [email protected] Publications Publications Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer
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Lisanne V. van Dijk's 7 research works with 1 citations and 104 reads, including: Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability.
