Results 81 to 90 of about 67,751 (242)
Бюллетень сибирской медицины, 2013 A review of modern methods of magnetic resonance imaging (MRI) and emission tomography (singlephoton emission and positron emission computer tomography – SPECT and PET) as toos for diagnosis and prognosis of myocardial ischaemic damage, in particular in ...
V. Yu. Ussov, A. A. Bogunetsky
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Epilepsy syndromes classification
Epilepsia Open, EarlyView.Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell +4 more
wiley +1 more source
Nukleonika, 2014 Ergosan contains 1% alginic acid extracted from two brown sea weeds. Little is known about the target organs and anatomical distribution of Ergosan (alginic acid) in fish.
Heidarieh Marzieh +11 more
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Development of a method for preparing octreotide derivative for diagnosis of neuroendocrine tumors
Бюллетень сибирской медицины, 2019 Currently the development of technologies for labeling somatostatin with technetium-99m for diagnosing radionuclide neuroendocrine tumors is under way. Somatostatin analogues are binded with technetium99m only by the preliminary addition of a chelating ...
M. S. Larkina +11 more
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Novel planning pipeline utilizing the Surgical Theater system for pediatric epilepsy surgery
Epilepsia Open, EarlyView.Abstract Objective Advances in the analysis and collation of radiographic datasets have enhanced presurgical planning for various neurosurgical procedures, including clipping of cerebral aneurysms, surgical resection of tumors, and arteriovenous malformation management.
Lisa B. E. Shields +4 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
The translational asymmetry of corpus callosotomy: Two literatures that answered different questions
Epilepsia Open, EarlyView.Abstract Corpus callosotomy is an established palliative operation for drug‐resistant epilepsy dominated by drop attacks, and it is performed in three extents: anterior, usually of the anterior two‐thirds; total, in one or two stages; and selective posterior, which preserves the genu and rostral body.
Vitória Bernal Cavalcanti +1 more
wiley +1 more source
Memorias del Instituto de Investigaciones en Ciencias de la Salud, 2014 En el sector público el Instituto de Investigaciones en Ciencias de la Salud (IICS) fue el pionero en la implementación de la medicina nuclear en el país en los años 80, con el apoyo del Organismo Internacional de Energía Atómica (OIEA).
Maria Gloria Pedrozo +4 more
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Imaging in hearing using radiotracers
Current Directions in Biomedical Engineering, 2017 Radiotracers offer unique options for brain imaging of functional and molecular processes related to hearing. Such imaging can be applied in a broad spectrum of situations from preclinical research to clinical patient care.
Berding Georg, Lenarz Thomas
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