J
J. Winkler
Researcher at University of Würzburg
Publications - 9
Citations - 328
J. Winkler is an academic researcher from University of Würzburg. The author has contributed to research in topics: Transcranial Doppler & Cerebrospinal fluid circulation. The author has an hindex of 6, co-authored 9 publications receiving 318 citations.
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Journal ArticleDOI
Transcranial color-coded real-time sonography in the evaluation of intracranial neoplasms and arteriovenous malformations.
TL;DR: Transcranial color-coded real-time sonography is an additional method for initial diagnosis and highly suitable for follow-up in tumor patients and provides valuable information about tissue characteristics and blood flow.
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Differentiation between ischemic and hemorrhagic stroke by transcranial color-coded real-time sonography.
TL;DR: Preliminary results illustrate that transcranial color‐coded realtime sonography may be helpful in the early noninvasive differential diagnosis as well as long‐term follow‐up in patients with cerebrovascular disorders.
Journal ArticleDOI
Diagnosis and monitoring of subarachnoid hemorrhage by transcranial color-coded real-time sonography.
Georg Becker,K Greiner,B Kaune,J. Winkler,Alexander Brawanski,Monika Warmuth-Metz,Ulrich Bogdahn +6 more
TL;DR: In this article, the authors used transcranial color-coded real-time sonography to diagnose spontaneous subarachnoid hemorrhage using a 2.25-MHz transducer.
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Autocrine growth regulation in neuroectodermal tumors as detected with oligodeoxynucleotide antisense molecules.
Christian Behl,J. Winkler,Ulrich Bogdahn,Jürgen Meixensberger,Karl-Hermann Schlingensiepen,Wolfgang Brysch +5 more
TL;DR: Data indicate autocrine stimulatory loops for PDGF and bFGF, which may be blocked, may have different relevance in neuroectodermal tumors in vitro, and may have conceivable future therapeutic implications.
Journal ArticleDOI
Imaging of cerebral arterio-venous malformations by transcranial colour-coded real-time sonography
TL;DR: Transcranial color-coded real-time sonography (TCCS) is a suitable method for early diagnosis and long term follow up of cerebral AVM's.