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 Lisanne van Dijk dr.. https://orcid.org/0000-0002-9515-5616 Overview Network Research output (74) Activities (8) Prizes (4) If you made any changes in Pure these will be visible here soon. Collaborations and top research areas from the last five years Recent external collaboration on country/territory level.
Lisanne VAN DIJK PostDoc Position Doctor of Medicine University of Texas MD Anderson
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: 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 Lisanne Van Dijk's 7 research works with 8 citations and 258 reads, including: DASS Good: Explainable Data Mining of Spatial Cohort Data 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;
PHOTOGRAPHY KEE AND KEE // MODEL LISANNE VAN DIJK IBTM MODELS EDITORIAL in 2019 Fur coat
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 V. van Dijk is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Medicine & Head and neck cancer. The author has an hindex of 14, co-authored 45 publications receiving 1365 citations. Read Lisanne van Dijk's latest research, browse their coauthor's research, and play around with their algorithms Dr. van Dijk's formal education as a Technical Physician gives uniquely positions her to translate technical innovations to clinic-usable applications. Her PhD is in radiomics and machine learning approaches to predict of radiation-induced toxicities and tumor outcome with multi-modality imaging in head and neck cancer patient.
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 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.
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. 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.
PHOTOGRAPHY KEE AND KEE // MODEL LISANNE VAN DIJK IBTM MODELS Editorial fashion, Fashion
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 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.
