Hagen H. Kitzler
Dresden University of Technology
Internal medicineRadiologyPathologyMagnetic resonance imagingUltrasoundArtificial intelligencePsychologyOlfactionRetrospective cohort studyNeurosciencePattern recognitionOlfactory systemDuplex ultrasonographyHuman brainInternal carotid arteryGrading (tumors)StenosisMultiple sclerosisAngiographyLesionPopulationNuclear medicineIn patientMean ageComputer scienceMedicineBiology
Publications 58
#1Julien Cohen-Adad (École Polytechnique de Montréal)H-Index: 49
Last. Christian Büchel (UHH: University of Hamburg)H-Index: 118
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#1Julien Cohen-Adad (École Polytechnique de Montréal)H-Index: 49
#2Eva Alonso-Ortiz (École Polytechnique de Montréal)H-Index: 4
Last. Christian Büchel (UHH: University of Hamburg)H-Index: 118
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In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed ...
2 CitationsSource
#1Simon Winzer (TUD: Dresden University of Technology)H-Index: 5
#2Henning RickmannH-Index: 3
Last. Kristian Barlinn (TUD: Dresden University of Technology)H-Index: 21
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Purpose We sought to determine the diagnostic agreement between the revised ultrasonography approach by the German Society of Ultrasound in Medicine (DEGUM) and the established Society of Radiologists in Ultrasound (SRU) consensus criteria for the grading of carotid artery disease. Materials and methods Post-hoc analysis of a prospective multicenter study, in which patients underwent ultrasonography and digital subtraction angiography (DSA) of carotid arteries for validation of the DEGUM approac...
#1Paul Ruser (TUD: Dresden University of Technology)H-Index: 1
#2Carina J. Koeppel (TUD: Dresden University of Technology)H-Index: 1
Last. Ilona Croy (FSU: University of Jena)H-Index: 31
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Abstract Intro The human sense of smell is highly individual and characterized by a strong variability in the perception and evaluation of olfactory stimuli, depending on cultural imprint and current physiological conditions. Since this individual perspective has often been neglected in fMRI studies on olfactory hedonic coding, this study focuses on the neuronal activity and connectivity patterns resulting from subject-specific olfactory stimulation. Methods : Thirty-one normosmic participants t...
1 CitationsSource
#1Behzad Iravani (KI: Karolinska Institutet)H-Index: 5
#2Moa G. Peter (KI: Karolinska Institutet)H-Index: 4
Last. Johan N. Lundström (KI: Karolinska Institutet)H-Index: 35
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Removing function from a developed and functional sensory system is known to alter both cerebral morphology and functional connections. To date, a majority of studies assessing sensory-dependent plasticity have focused on effects from either early onset or long-term sensory loss and little is known how the recent sensory loss affects the human brain. With the aim of determining how recent sensory loss affects cerebral morphology and functional connectivity, we assessed differences between indivi...
#1Timo Siepmann (TUD: Dresden University of Technology)H-Index: 17
#2Hagen H. Kitzler (TUD: Dresden University of Technology)H-Index: 12
Last. Kristian Barlinn (TUD: Dresden University of Technology)H-Index: 21
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2 CitationsSource
#1Julia KrügerH-Index: 5
#2Roland Opfer (UZH: University of Zurich)H-Index: 8
Last. Sven Schippling (UZH: University of Zurich)H-Index: 23
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Abstract The quantification of new or enlarged lesions from follow-up MRI scans is an important surrogate of clinical disease activity in patients with multiple sclerosis (MS). Not only is manual segmentation time consuming, but inter-rater variability is high. Currently, only a few fully automated methods are available. We address this gap in the field by employing a 3D convolutional neural network (CNN) with encoder-decoder architecture for fully automatic longitudinal lesion segmentation. Inp...
4 CitationsSource
#1Amir Zolal (TUD: Dresden University of Technology)
#1Amir Zolal (TUD: Dresden University of Technology)H-Index: 1
Last. Stephan B. Sobottka (TUD: Dresden University of Technology)H-Index: 23
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BACKGROUND Deep brain stimulation (DBS) is an established method of treatment for Parkinson's disease (PD). A stimulation sweet spot at the interface between the motor and associative clusters of the subthalamic nucleus (STN) has recently been postulated. The aim of this study was to analyze the available clustering methods for the STN and their correlation to outcome. METHODS This is a retrospective analysis of a group of 20 patients implanted with a DBS device for PD. Atlas-based and diffusion...
#1Eva Alonso-Ortiz (École Polytechnique de Montréal)H-Index: 4
#1Eva Alonso-Ortiz (École Polytechnique de Montréal)
Last. Julien Cohen-Adad (École Polytechnique de Montréal)H-Index: 49
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#1Nils Gessert (TUHH: Hamburg University of Technology)H-Index: 8
#2Julia KrügerH-Index: 5
Last. Alexander Schlaefer (TUHH: Hamburg University of Technology)H-Index: 21
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Multiple sclerosis is an inflammatory autoimmune demyelinating disease that is characterized by lesions in the central nervous system. Typically, magnetic resonance imaging (MRI) is used for tracking disease progression. Automatic image processing methods can be used to segment lesions and derive quantitative lesion parameters. So far, methods have focused on lesion segmentation for individual MRI scans. However, for monitoring disease progression, lesion activity in terms of new and enlarging l...
7 CitationsSource