His primary areas of study are Magnetic resonance imaging, Pathology, Surgery, Internal medicine and Nuclear medicine. The concepts of his Magnetic resonance imaging study are interwoven with issues in Medical imaging, Retrospective cohort study, Wallerian degeneration, Brain tumor and Glioblastoma. His studies deal with areas such as Inflammation, Nerve injury, Multiple sclerosis, Macrophage and Magnetic resonance neurography as well as Pathology.
The study of Surgery is intertwined with the study of Radiology in a number of ways. His work investigates the relationship between Radiology and topics such as Clinical trial that intersect with problems in MEDLINE and Cerebral infarction. His studies in Internal medicine integrate themes in fields like Oncology, Glioma and Cardiology.
The scientist’s investigation covers issues in Magnetic resonance imaging, Radiology, Internal medicine, Surgery and Stroke. His research in Magnetic resonance imaging intersects with topics in Lesion, Pathology, Nuclear medicine and Glioma. As a part of the same scientific family, Martin Bendszus mostly works in the field of Radiology, focusing on Neuroradiology and, on occasion, Neurosurgery and Interventional radiology.
Martin Bendszus has researched Internal medicine in several fields, including Endocrinology, Oncology and Cardiology. His Surgery study frequently draws connections between adjacent fields such as Clinical trial. Martin Bendszus has included themes like Anesthesia and Randomized controlled trial in his Stroke study.
Stroke, Magnetic resonance imaging, Radiology, Internal medicine and Nuclear medicine are his primary areas of study. His work carried out in the field of Stroke brings together such families of science as Occlusion, Fluoroscopy and Neuroradiology. His study explores the link between Magnetic resonance imaging and topics such as Cone beam computed tomography that cross with problems in Molar.
His work in the fields of Angiography, Medical history and Computed tomography overlaps with other areas such as In patient. His Internal medicine research incorporates elements of Endocrinology and Cardiology. His research investigates the connection between Nuclear medicine and topics such as Intraclass correlation that intersect with issues in Cephalometric analysis.
Martin Bendszus mostly deals with Stroke, Magnetic resonance imaging, Radiology, Internal medicine and Glioma. The various areas that Martin Bendszus examines in his Stroke study include Observational study, Fluoroscopy, Dose area product and Angiography. His study in the field of Fluid-attenuated inversion recovery also crosses realms of Craniometry.
While the research belongs to areas of Radiology, Martin Bendszus spends his time largely on the problem of Neuroradiology, intersecting his research to questions surrounding Segmentation and F1 score. The Internal medicine study which covers Endocrinology that intersects with Food craving. His Glioma study combines topics from a wide range of disciplines, such as Gene silencing, Methylation and Candidate gene.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
DNA methylation-based classification of central nervous system tumours
David Capper;David Capper;David Capper;David T. W. Jones;Martin Sill;Volker Hovestadt.
Nature (2018)
Recommendations on Angiographic Revascularization Grading Standards for Acute Ischemic Stroke A Consensus Statement
Osama O. Zaidat;Albert J. Yoo;Pooja Khatri;Thomas A. Tomsick.
Stroke (2013)
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
arXiv: Computer Vision and Pattern Recognition (2018)
Inflammation and Atherosclerosis Novel Insights Into Plaque Formation and Destabilization
Guido Stoll;Martin Bendszus.
Stroke (2006)
European Association for Neuro-Oncology (EANO) guideline on the diagnosis and treatment of adult astrocytic and oligodendroglial gliomas
Michael Weller;Martin van den Bent;Jörg C Tonn;Roger Stupp.
Lancet Oncology (2017)
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
Unknown Journal (2018)
Lomustine and Bevacizumab in Progressive Glioblastoma
Wolfgang Wick;Thierry Gorlia;Martin Bendszus;Martin Taphoorn.
The New England Journal of Medicine (2017)
Response assessment criteria for brain metastases: proposal from the RANO group
Nancy U Lin;Eudocia Q Lee;Hidefumi Aoyama;Igor J Barani.
Lancet Oncology (2015)
Silent embolism in diagnostic cerebral angiography and neurointerventional procedures: a prospective study
Martin Bendszus;Martin Koltzenburg;Ralph Burger;Monika Warmuth-Metz.
The Lancet (1999)
Gadolinium Retention in the Dentate Nucleus and Globus Pallidus Is Dependent on the Class of Contrast Agent
Alexander Radbruch;Lukas D. Weberling;Pascal J. Kieslich;Oliver Eidel.
Radiology (2015)
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