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Scopus Author ID: 55516013500
ResearcherID: AAF-6476-2020

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Germany

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Employment (3)

National Center for Tumor Diseases (NCT), partner site Dresden: Dresden, Sachsen, DE

2017-02-01 to present | Postdoctoral researcher radiomics
Employment
Source: Self-asserted source
Alex Zwanenburg

Technische Universität Dresden: Dresden, Sachsen, DE

2015-12-01 to 2017-01-31 | Postdoc radiomics (Oncoray - high-precision radiotherapy)
Employment
Source: Self-asserted source
Alex Zwanenburg

Maastricht University: Maastricht, Limburg, NL

2012-08-01 to 2015-07-31 | PhD candidate (Biomedical Engineering)
Employment
Source: Self-asserted source
Alex Zwanenburg

Works (50 of 58)

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Page 1 of 2

Artificial intelligence for response prediction and personalisation in radiation oncology

Strahlentherapie und Onkologie
2025-03 | Journal article
DOI: 10.1007/s00066-024-02281-z
Contributors: Alex Zwanenburg; Gareth Price; Steffen Löck
Source: check_circle
Crossref

MIRP: A Python package for standardised radiomics

Journal of Open Source Software
2024-07-17 | Journal article
DOI: 10.21105/joss.06413
Contributors: Alex Zwanenburg; Steffen Löck
Source: check_circle
Crossref

Coronary Artery Calcium Scoring Using Virtual Versus True Noncontrast Images From Photon-Counting Coronary CT Angiography

Radiology
2024-03-01 | Journal article
DOI: 10.1148/radiol.230545
Contributors: Nina P. Haag; Arwed E. Michael; Simon Lennartz; Christoph Panknin; Julius H. Niehoff; Jan Borggrefe; Iram Shahzadi; Alex Zwanenburg; Jan Robert Kroeger
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The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

Radiology
2024-02-01 | Journal article
DOI: 10.1148/radiol.231319
Contributors: Philip Whybra; Alex Zwanenburg; Vincent Andrearczyk; Roger Schaer; Aditya P. Apte; Alexandre Ayotte; Bhakti Baheti; Spyridon Bakas; Andrea Bettinelli; Ronald Boellaard et al.
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Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients

Cancers
2023-10-09 | Journal article
DOI: 10.3390/cancers15194897
Contributors: Sebastian Starke; Alex Zwanenburg; Karoline Leger; Fabian Lohaus; Annett Linge; Goda Kalinauskaite; Inge Tinhofer; Nika Guberina; Maja Guberina; Panagiotis Balermpas et al.
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Joint EANM/SNMMI guideline on radiomics in nuclear medicine

European Journal of Nuclear Medicine and Molecular Imaging
2023-01 | Journal article
DOI: 10.1007/s00259-022-06001-6
Contributors: M. Hatt; A. K. Krizsan; A. Rahmim; T. J. Bradshaw; P. F. Costa; A. Forgacs; R. Seifert; A. Zwanenburg; I. El Naqa; P. E. Kinahan et al.
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Longitudinal and Multimodal Radiomics Models for Head and Neck Cancer Outcome Prediction

Cancers
2023-01-21 | Journal article
DOI: 10.3390/cancers15030673
Contributors: Sebastian Starke; Alexander Zwanenburg; Karoline Leger; Klaus Zöphel; Jörg Kotzerke; Mechthild Krause; Michael Baumann; Esther G. C. Troost; Steffen Löck
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Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models

Scientific Reports
2022 | Journal article
DOI: 10.1038/S41598-022-13967-8
WOSUID: WOS:000812565400105
Contributors: Shahzadi, Iram; Zwanenburg, Alex; Lattermann, Annika; Linge, Annett; Baldus, Christian; Peeken, Jan C.; Combs, Stephanie E.; Diefenhardt, Markus; Roedel, Claus; Kirste, Simon et al.
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Building reliable radiomic models using image perturbation

Scientific Reports
2022 | Journal article
DOI: 10.1038/S41598-022-14178-X
WOSUID: WOS:000812562700054
Contributors: Teng, Xinzhi; Zhang, Jiang; Zwanenburg, Alex; Sun, Jiachen; Huang, Yuhua; Lam, Saikit; Zhang, Yuanpeng; Li, Bing; Zhou, Ta; Xiao, Haonan et al.
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Radiomics-based tumor phenotype determination based on medical imaging and tumor microenvironment in a preclinical setting

Radiotherapy and Oncology
2022 | Journal article
DOI: 10.1016/J.RADONC.2022.02.020
WOSUID: WOS:000784304400014
Contributors: Mueller, Johannes; Leger, Stefan; Zwanenburg, Alex; Suckert, Theresa; Luehr, Armin; Beyreuther, Elke; von Neubeck, Claere; Krause, Mechthild; Loeck, Steffen; Dietrich, Antje et al.
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Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data

2022-10-24 | Preprint
DOI: 10.1101/2022.10.22.22281403
Contributors: Nithya Bhasker; Fiona R. Kolbinger; Nadiia Skorobohach; Alex Zwanenburg; Steffen Löck; Jürgen Weitz; Ralf-Thorsten Hoffmann; Marius Distler; Stefanie Speidel; Stefan Leger et al.
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Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability

Journal of Magnetic Resonance Imaging
2022-08 | Journal article
DOI: 10.1002/jmri.28027
Contributors: R.W.Y. Granzier; A. Ibrahim; S. Primakov; S.A. Keek; I. Halilaj; A. Zwanenburg; S.M.E. Engelen; M.B.I. Lobbes; P. Lambin; H.C. Woodruff et al.
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Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma

Clinical and Translational Radiation Oncology
2021 | Journal article
DOI: 10.1016/J.CTRO.2020.11.011
WOSUID: WOS:000600587800010
Contributors: Meneghetti, Asier Rabasco; Zwanenburg, Alex; Leger, Stefan; Leger, Karoline; Troost, Esther G. C.; Linge, Annett; Lohaus, Fabian; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge et al.
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Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?

International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI (Lecture Notes in Computer Science)
2021 | Conference paper
DOI: 10.1007/978-3-030-87234-2_73
WOSUID: WOS:000712024400073
Contributors: Shahzadi, Iram; Lattermann, Annika; Linge, Annett; Zwanenburg, Alexander; Baldus, Christian; Peeken, Jan C.; Combs, Stephanie E.; Baumann, Michael; Krause, Mechthild; Troost, Esther G. C. et al.
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Integrated radiogenomics analyses for outcome prognosis in patients with locally advanced HNSCC

Radiotherapy and Oncology
2021 | Journal article
WOSUID: WOS:000709667201188
Contributors: Rabasco, A.; Zwanenburg, A.; Linge, A.; Lohaus, F.; Grosser, M.; Baretton, G.; Kalinauskaite, G.; Tinhofer, I.; Guberina, N.; Guberina, M. et al.
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Radiomics Analysis of FDG-PET/CT to Predict Toxicity in Patients with Head and Neck Squamous Cell Carcinoma

Strahlentherapie und Onkologie
2021 | Journal article
WOSUID: WOS:000664126100203
Contributors: Maile, T.; Yahya, N.; Leger, K.; Zwanenburg, A.; Thiem, J.; Loeck, S.; Troost, E.
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An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication

Nature Cancer
2021-07-22 | Journal article
DOI: 10.1038/s43018-021-00236-2
Contributors: Olivier Morin; Martin Vallières; Steve Braunstein; Jorge Barrios Ginart; Taman Upadhaya; Henry C. Woodruff; Alex Zwanenburg; Avishek Chatterjee; Javier E. Villanueva-Meyer; Gilmer Valdes et al.
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2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma

Scientific Reports
2020 | Journal article
DOI: 10.1038/S41598-020-70542-9
WOSUID: WOS:000615370700010
Contributors: Starke, Sebastian; Leger, Stefan; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika et al.
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Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy

Physics and Imaging in Radiation Oncology
2020 | Journal article
DOI: 10.1016/J.PHRO.2020.07.003
WOSUID: WOS:000645140700009
Contributors: Fernandez, Jairo A. Socarras; Moennich, David; Leibfarth, Sara; Welz, Stefan; Zwanenburg, Alex; Leger, Stefan; Loeck, Steffen; Pfannenberg, Christina; La Fougere, Christian; Reischl, Gerald et al.
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Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC

Cancers
2020 | Journal article
DOI: 10.3390/CANCERS12103047
WOSUID: WOS:000584233900001
Contributors: Leger, Stefan; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja et al.
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Pictures worth more than a thousand words: Prediction of survival in medulloblastoma patients

EBioMedicine
2020 | Journal article
DOI: 10.1016/J.EBIOM.2020.103136
WOSUID: WOS:000601298700022
Contributors: Meneghetti, Asier Rabasco; Zwanenburg, Alex; Loeck, Steffen
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Radiomic models for validation in patients with locally advanced HNSCC treated with primary RTCx

Radiotherapy and Oncology
2020 | Journal article
WOSUID: WOS:000648572703063
Contributors: Rabasco, A.; Zwanenburg, A.; Leger, S.; Pilz, K.; Lohaus, F.; Linge, A.; Zoephel, K.; Kotzerke, J.; Schreiber, A.; Tinhofer, I. et al.
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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology
2020-05-10 | Journal article
DOI: 10.1148/radiol.2020191145
Contributors: Alex Zwanenburg; Martin Vallières; Mahmoud A. Abdalah; Hugo J. W. L. Aerts; Vincent Andrearczyk; Aditya Apte; Saeed Ashrafinia; Spyridon Bakas; Roelof J. Beukinga; Ronald Boellaard et al.
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Crossref

CT imaging during treatment improves radiomic models for patients with locally advanced head and neck cancer

Radiotherapy and Oncology
2019 | Journal article
DOI: 10.1016/j.radonc.2018.07.020
EID:

2-s2.0-85050939592
Contributors: Leger, S.; Zwanenburg, A.; Pilz, K.; Zschaeck, S.; Zöphel, K.; Kotzerke, J.; Schreiber, A.; Zips, D.; Krause, M.; Baumann, M. et al.
Source: Self-asserted source
Alex Zwanenburg via Scopus - Elsevier

Deep-learning based estimation of loco-regional control for patients with locally advanced HNSCC

Radiotherapy and Oncology
2019 | Journal article
DOI: 10.1016/S0167-8140(19)30916-8
WOSUID: WOS:000468315601122
Contributors: Starke, S.; Leger, S.; Zwanenburg, A.; Pilz, K.; Lohaus, F.; Linge, A.; Zoephel, K.; Kotzerke, J.; Schreiber, A.; Tinhofer, I. et al.
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RACAT: An open source and easy to use radiomics calculator tool

PLoS ONE
2019 | Journal article
DOI: 10.1371/journal.pone.0212223
EID:

2-s2.0-85061901064
Contributors: Pfaehler, E.; Zwanenburg, A.; de Jong, J.R.; Boellaard, R.
Source: Self-asserted source
Alex Zwanenburg via Scopus - Elsevier

Why -aVF can be used in STAN as a proxy for scalp electrode-derived signal; reply to comments by Kjellmer et al.

PLoS ONE
2019 | Journal article
DOI: 10.1371/journal.pone.0221220
EID:

2-s2.0-85071137512
Contributors: Delhaas, T.; Andriessen, P.; van Laar, J.O.E.H.; Vullings, R.; Hermans, B.J.M.; Niemarkt, H.J.; Jellema, R.K.; Ophelders, D.R.M.G.; Wolfs, T.G.A.M.; Kramer, B.W. et al.
Source: Self-asserted source
Alex Zwanenburg via Scopus - Elsevier

Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

European Journal of Nuclear Medicine and Molecular Imaging
2019-12 | Journal article
DOI: 10.1007/s00259-019-04391-8
Contributors: Alex Zwanenburg
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Assessing robustness of radiomic features by image perturbation

Scientific Reports
2019-01-24 | Journal article
DOI: 10.1038/s41598-018-36938-4
Contributors: Alex Zwanenburg; Stefan Leger; Linda Agolli; Karoline Pilz; Esther G. C. Troost; Christian Richter; Steffen Löck
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Combining different genomic signatures to improve the prognostic power for LRC after PORT-C in HNSCC

Radiotherapy and Oncology
2018 | Journal article
DOI: 10.1016/S0167-8140(18)30586-3
WOSUID: WOS:000437723400262
Contributors: Schmidt, S.; Linge, A.; Zwanenburg, A.; Leger, S.; Grosser, M.; Lohaus, F.; Gudziol, V.; Nowak, A.; Tinhofer, I.; Budach, V. et al.
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IBSI: an international community radiomics standardization initiative

Journal of Nuclear Medicine
2018 | Journal article
WOSUID: WOS:000467489900287
Contributors: Hatt, Mathieu; Vallieres, Martin; Visvikis, Dimitris; Zwanenburg, Alex
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Identification of tumour sub-volumes for improved radiomic risk modelling in locally advanced HNSCC

Radiotherapy and Oncology
2018 | Journal article
DOI: 10.1016/S0167-8140(18)30818-1
WOSUID: WOS:000437723401120
Contributors: Leger, S.; Zwanenburg, A.; Pilz, K.; Lohaus, F.; Linge, A.; Zoephel, K.; Kotzerke, J.; Schreiber, A.; Tinhofer, I.; Budach, V. et al.
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Perturbing single images as a surrogate for radiomic feature robustness test-retest experiments

Radiotherapy and Oncology
2018 | Journal article
DOI: 10.1016/S0167-8140(18)32404-6
WOSUID: WOS:000438676102144
Contributors: Zwanenburg, A.; Leger, S.; Troost, E. G. C.; Richter, C.; Loeck, S.
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Results from the Image Biomarker Standardisation Initiative

Radiotherapy and Oncology
2018 | Journal article
DOI: 10.1016/S0167-8140(18)31291-X
WOSUID: WOS:000437723402229
Contributors: Zwanenburg, A.; Abdalah, M. A.; Apte, A.; Ashrafinia, S.; Beukinga, J.; Bogowicz, M.; Dinh, C. V.; Goetz, M.; Hatt, M.; Leijenaar, R. T. H. et al.
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ST waveform analysis for monitoring hypoxic distress in fetal sheep after prolonged umbilical cord occlusion.

PloS one
2018 | Journal article
DOI: 10.1371/journal.pone.0195978
PMID: 29659625
PMC: PMC5901956
Contributors: Andriessen P; Zwanenburg A; van Laar JOEH; Vullings R; Hermans BJM; Niemarkt HJ; Jellema RK; Ophelders DRMG; Wolfs TGAM; Kramer BW et al.
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central
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Why validation of prognostic models matters?

Radiotherapy and Oncology
2018-06 | Journal article
DOI: 10.1016/j.radonc.2018.03.004
Contributors: Alex Zwanenburg; Steffen Löck
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Development and Validation of a Gene Signature for Patients with Head and Neck Carcinomas Treated by Postoperative Radio(chemo)therapy.

Clinical cancer research : an official journal of the American Association for Cancer Research
2018-03 | Journal article
DOI: 10.1158/1078-0432.ccr-17-2345
PMID: 29298797
Contributors: Schmidt S; Linge A; Zwanenburg A; Leger S; Lohaus F; Krenn C; Appold S; Gudziol V; Nowak A; von Neubeck C et al.
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central
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Responsible Radiomics Research for Faster Clinical Translation.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
2018-02 | Journal article
DOI: 10.2967/jnumed.117.200501
PMID: 29175982
Contributors: Vallières M; Zwanenburg A; Badic B; Cheze Le Rest C; Visvikis D; Hatt M
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central
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Comparison of a nanoString and RNA microarray gene signature predicting LRC after PORT-C in HNSCC

Radiotherapy and Oncology
2017 | Journal article
DOI: 10.1016/S0167-8140(17)31056-3
WOSUID: WOS:000467786301237
Contributors: Schmidt, S.; Linge, A.; Zwanenburg, A.; Leger, S.; Lohaus, F.; Gudziol, V.; Nowak, A.; Tinhofer, I.; Budach, V.; Sak, A. et al.
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Multicentre initiative for standardisation of image biomarkers

Radiotherapy and Oncology
2017 | Journal article
DOI: 10.1016/S0167-8140(17)32209-0
WOSUID: WOS:000467786304190
Contributors: Zwanenburg, A.
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Prediction of Dysphagia and Xerostomia based on CT imaging features of HNSCC Patients

Radiotherapy and Oncology
2017 | Journal article
DOI: 10.1016/S0167-8140(17)31501-3
WOSUID: WOS:000467786302305
Contributors: Pilz, K.; Leger, S.; Zwanenburg, A.; Richter, C.; Krause, M.; Baumann, M.; Loeck, S.; Troost, E. G. C.
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A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling

Scientific Reports
2017-10-16 | Journal article
DOI: 10.1038/s41598-017-13448-3
Contributors: Stefan Leger; Alex Zwanenburg; Karoline Pilz; Fabian Lohaus; Annett Linge; Klaus Zöphel; Jörg Kotzerke; Andreas Schreiber; Inge Tinhofer; Volker Budach et al.
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Mesenchymal stromal cell-derived extracellular vesicles protect the fetal brain after hypoxia-ischemia

Stem Cells Translational Medicine
2016 | Journal article
DOI: 10.5966/sctm.2015-0197
EID:

2-s2.0-84969790691
Contributors: Ophelders, D.R.M.G.; Wolfs, T.G.A.M.; Jellema, R.K.; Zwanenburg, A.; Andriessen, P.; Delhaas, T.; Ludwig, A.-K.; Radtke, S.; Peters, V.; Janssen, L. et al.
Source: Self-asserted source
Alex Zwanenburg via Scopus - Elsevier

Mesenchymal Stromal Cell-Derived Extracellular Vesicles Protect the Fetal Brain After Hypoxia-Ischemia.

2016-05 | Journal article
PMID: 27160705
Contributors: Ophelders DR; Wolfs TG; Jellema RK; Zwanenburg A; Andriessen P; Delhaas T; Ludwig AK; Radtke S; Peters V; Janssen L et al.
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central

Comparison of ECG-based physiological markers for hypoxia in a preterm ovine model.

2016-02 | Journal article
DOI: 10.1038/pr.2016.21
PMID: 26866904
Contributors: Zwanenburg A; Hermans BJ; Andriessen P; Niemarkt HJ; Jellema RK; Ophelders DR; Vullings R; Wolfs TG; Kramer BW; Delhaas T
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central
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Multipotent adult progenitor cells for hypoxic-ischemic injury in the preterm brain

Journal of Neuroinflammation
2015 | Journal article
DOI: 10.1186/s12974-015-0459-5
EID:

2-s2.0-84951816226
Contributors: Jellema, R.K.; Ophelders, D.R.M.G.; Zwanenburg, A.; Nikiforou, M.; Delhaas, T.; Andriessen, P.; Mays, R.W.; Deans, R.; Germeraad, W.T.V.; Wolfs, T.G.A.M. et al.
Source: Self-asserted source
Alex Zwanenburg via Scopus - Elsevier

Multipotent adult progenitor cells for hypoxic-ischemic injury in the preterm brain.

2015 | Journal article
PMID: 26700169
Contributors: Jellema RK; Ophelders DR; Zwanenburg A; Nikiforou M; Delhaas T; Andriessen P; Mays RW; Deans R; Germeraad WT; Wolfs TG et al.
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central

Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

2015-03 | Journal article
DOI:

10.1088/0967-3334/36/3/369

PMID:

25651839
Contributors: Zwanenburg A; Andriessen P; Jellema RK; Niemarkt HJ; Wolfs TG; Kramer BW; Delhaas T
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central
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Propofol administration to the maternal-fetal unit improved fetal EEG and influenced cerebral apoptotic pathway in preterm lambs suffering from severe asphyxia

Mol Cell Pediatr
2015-03-10 | Journal article
DOI:

10.1186/s40348-015-0016-4
Contributors: Matthias Seehase; Ward Jennekens; Alex Zwanenburg; Peter Andriessen; Jennifer JP Collins; Elke Kuypers; Luc J Zimmermann; Johan SH Vles; Antonio WD Gavilanes; Boris W Kramer
Source: Self-asserted source
Alex Zwanenburg via Crossref Metadata Search

Functional connectivity in preterm infants derived from EEG coherence analysis.

2014-11 | Journal article
DOI:

10.1016/j.ejpn.2014.08.003

PMID:

25205233
Contributors: Meijer EJ; Hermans KH; Zwanenburg A; Jennekens W; Niemarkt HJ; Cluitmans PJ; van Pul C; Wijn PF; Andriessen P
Source: Self-asserted source
Alex Zwanenburg via Europe PubMed Central
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Peer review (177 reviews for 38 publications/grants)

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