Výsledky vyhledávání - "Katerina Deike"

Akademický článek

Deep learning-based defacing tool for CT angiography: CTA-DEFACE

Autor: Mustafa Ahmed Mahmutoglu, Aditya Rastogi, Marianne Schell, Martha Foltyn-Dumitru, Michael Baumgartner, Klaus Hermann Maier-Hein, Katerina Deike-Hofmann, Alexander Radbruch, Martin Bendszus, Gianluca Brugnara, Philipp Vollmuth

Publikováno v: European Radiology Experimental, Vol 8, Iss 1, Pp 1-7 (2024)

Abstract The growing use of artificial neural network (ANN) tools for computed tomography angiography (CTA) data analysis underscores the necessity for elevated data protection measures. We aimed to establish an automated defacing pipeline for CTA da

Externí odkaz: https://doaj.org/article/0eb7272d53b34633a6b9fc8219c448c2

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Akademický článek

External evaluation of a deep learning-based approach for automated brain volumetry in patients with huntington’s disease

Autor: Robert Haase, Nils Christian Lehnen, Frederic Carsten Schmeel, Katerina Deike, Theodor Rüber, Alexander Radbruch, Daniel Paech

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)

Abstract A crucial step in the clinical adaptation of an AI-based tool is an external, independent validation. The aim of this study was to investigate brain atrophy in patients with confirmed, progressed Huntington's disease using a certified softwa

Externí odkaz: https://doaj.org/article/fa93c47eb86a437ab89b8faea09df45f

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Akademický článek

Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)

Abstract Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic processes. Here, we developed an art

Externí odkaz: https://doaj.org/article/24a3d137218a42cfa5b7e7a9db4adb74

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Akademický článek

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

Publikováno v: NeuroImage, Vol 264, Iss , Pp 119703- (2022)

Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene s

Externí odkaz: https://doaj.org/article/fda98a646f86424daa91258742f29642

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Akademický článek

Assessment of Sodium MRI at 7 Tesla as Predictor of Therapy Response and Survival in Glioblastoma Patients

Autor: Daniel Paech, Sebastian Regnery, Tanja Platt, Nicolas G. R. Behl, Nina Weckesser, Paul Windisch, Katerina Deike-Hofmann, Wolfgang Wick, Martin Bendszus, Stefan Rieken, Laila König, Mark E. Ladd, Heinz-Peter Schlemmer, Jürgen Debus, Sebastian Adeberg

Publikováno v: Frontiers in Neuroscience, Vol 15 (2021)

The purpose of this work was to prospectively investigate sodium (23Na) MRI at 7 Tesla (T) as predictor of therapy response and survival in patients with glioblastoma (GBM). Thus, 20 GBM patients underwent 23Na MRI at 7T before, immediately after and

Externí odkaz: https://doaj.org/article/9d0825e26c4148e89c565dfc2960d5e2

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Akademický článek

Ultra-high-field sodium MRI as biomarker for tumor extent, grade and IDH mutation status in glioma patients

Autor: Sebastian Regnery, Nicolas G.R. Behl, Tanja Platt, Nina Weinfurtner, Paul Windisch, Katerina Deike-Hofmann, Felix Sahm, Martin Bendszus, Jürgen Debus, Mark E. Ladd, Heinz-Peter Schlemmer, Stefan Rieken, Sebastian Adeberg, Daniel Paech

Publikováno v: NeuroImage: Clinical, Vol 28, Iss , Pp 102427- (2020)

Purpose: This prospective clinical trial investigated sodium (23Na) MRI at 7 Tesla (T) field strength as biomarker for tumor extent, isocitrate dehydrogenase (IDH) mutation and O6-methylguanine DNA methyltransferase (MGMT) promotor methylation in gli

Externí odkaz: https://doaj.org/article/2b05fe88a01d42d38a57078352182341

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Akademický článek

Sensitivity of different MRI sequences in the early detection of melanoma brain metastases.

Autor: Katerina Deike-Hofmann, Daniel Thünemann, Michael O Breckwoldt, Daniel Schwarz, Alexander Radbruch, Alexander Enk, Martin Bendszus, Jessica Hassel, Heinz-Peter Schlemmer, Philipp Bäumer

Publikováno v: PLoS ONE, Vol 13, Iss 3, p e0193946 (2018)

After the emergence of new MRI techniques such as susceptibility- and diffusion-weighted imaging (SWI and DWI) and because of specific imaging characteristics of melanoma brain metastases (MBM), it is unclear which MRI sequences are most beneficial f

Externí odkaz: https://doaj.org/article/150a4b6df50a4e51be8430cdfd765bca

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Akademický článek

Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.

Autor: Caroline Reimer, Katerina Deike, Markus Graf, Peter Reimer, Benedikt Wiestler, Ralf Omar Floca, Philipp Kickingereder, Heinz-Peter Schlemmer, Wolfgang Wick, Martin Bendszus, Alexander Radbruch

Publikováno v: PLoS ONE, Vol 12, Iss 4, p e0174620 (2017)

The purpose of this study was to investigate whether a voxel-wise analysis of apparent diffusion coefficient (ADC) values may differentiate between progressive disease (PD) and pseudoprogression (PsP) in patients with high-grade glioma using the para

Externí odkaz: https://doaj.org/article/71f1aad1fc3149979aed19155241ec78

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