Search Results - "Rummel, Christian"
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1
Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks
Published in Scientific reports (13-01-2021)“…Segmentation of white matter lesions and deep grey matter structures is an important task in the quantification of magnetic resonance imaging in multiple…”
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2
An optimal strategy for epilepsy surgery: Disruption of the rich-club?
Published in PLoS computational biology (01-08-2017)“…Surgery is a therapeutic option for people with epilepsy whose seizures are not controlled by anti-epilepsy drugs. In pre-surgical planning, an array of data…”
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3
Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning
Published in Frontiers in neurology (08-04-2020)“…Brain morphometry from magnetic resonance imaging (MRI) is a promising neuroimaging biomarker for the non-invasive diagnosis and monitoring of…”
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4
Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns
Published in Frontiers in neurology (08-08-2023)“…Introduction Intracochlear electrocochleography (ECochG) is increasingly being used to measure residual inner ear function in cochlear implant (CI) recipients…”
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Objectification of intracochlear electrocochleography using machine learning
Published in Frontiers in neurology (29-08-2022)“…Introduction Electrocochleography (ECochG) measures inner ear potentials in response to acoustic stimulation. In patients with cochlear implant (CI), the…”
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Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods
Published in NeuroImage clinical (01-01-2024)“…•Normative modelling for AD based on DL + DiReCT is equivalent to Freesurfer.•Both tools are equivalent regarding clinical-grade scans.•DL + DiReCT processes…”
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Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
Published in NeuroImage clinical (01-01-2020)“…•We introduce a novel method, based on a neural network (DeepSCAN), for detecting lesion change in longitudinal MRI imaging in multiple sclerosis.•The method…”
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A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
Published in Frontiers in neurology (18-02-2022)“…Hippocampal volumetry is an important biomarker to quantify atrophy in patients with mesial temporal lobe epilepsy. We investigate the sensitivity of automated…”
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Stationary EEG pattern relates to large-scale resting state networks – An EEG-fMRI study connecting brain networks across time-scales
Published in NeuroImage (Orlando, Fla.) (01-02-2022)“…•We use stationary EEG-network patterns to inform resting-state fMRI analysis.•We identify some known resting-state networks (RSN) with high…”
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10
Cortical morphometry and cognition in very preterm and term-born children at early school age
Published in Early human development (01-01-2018)“…Very preterm birth influences brain development and may result in alterations of cortical morphometry. These structural alterations may interact with cognitive…”
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11
Functional Changes in Brain Activity Using Hypnosis: A Systematic Review
Published in Brain sciences (01-01-2022)“…Hypnosis has proven a powerful method in indications such as pain control and anxiety reduction. As recently discussed, it has been yielding increased…”
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12
Learning by Heart or with Heart: Brain Asymmetry Reflects Pedagogical Practices
Published in Brain sciences (31-08-2023)“…Brain hemispheres develop rather symmetrically, except in the case of pathology or intense training. As school experience is a form of training, the current…”
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13
Resected Brain Tissue, Seizure Onset Zone and Quantitative EEG Measures: Towards Prediction of Post-Surgical Seizure Control
Published in PloS one (29-10-2015)“…Epilepsy surgery is a potentially curative treatment option for pharmacoresistent patients. If non-invasive methods alone do not allow to delineate the…”
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14
Morphological Brain Changes after Climbing to Extreme Altitudes--A Prospective Cohort Study
Published in PloS one (28-10-2015)“…Findings of cerebral cortical atrophy, white matter lesions and microhemorrhages have been reported in high-altitude climbers. The aim of this study was to…”
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15
More Than Spikes: On the Added Value of Non-linear Intracranial EEG Analysis for Surgery Planning in Temporal Lobe Epilepsy
Published in Frontiers in neurology (13-01-2022)“…Epilepsy surgery can be a very effective therapy in medication refractory patients. During patient evaluation intracranial EEG is analyzed by clinical experts…”
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16
Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunction
Published in NeuroImage clinical (01-01-2022)“…•Morphometric analysis of 55 patients with peripheral vestibular dysfunction.•No hippocampal volume reduction compared to healthy controls.•Reduced right…”
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17
An intracochlear electrocochleography dataset - from raw data to objective analysis using deep learning
Published in Scientific data (22-03-2023)“…Electrocochleography (ECochG) measures electrophysiological inner ear potentials in response to acoustic stimulation. These potentials reflect the state of the…”
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Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
Published in Frontiers in neurology (23-10-2019)“…High frequency oscillations (HFOs) are traditional biomarkers to identify the epileptogenic tissue during presurgical evaluation in pharmacoresistant epileptic…”
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Impact of phenylalanine on cognitive, cerebral, and neurometabolic parameters in adult patients with phenylketonuria (the PICO study): a randomized, placebo-controlled, crossover, noninferiority trial
Published in Current controlled trials in cardiovascular medicine (13-02-2020)“…The population of adult patients with early-treated phenylketonuria (PKU) following newborn screening is growing substantially. The ideal target range of blood…”
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Quantification and Selection of Ictogenic Zones in Epilepsy Surgery
Published in Frontiers in neurology (01-10-2019)“…Network models of brain dynamics provide valuable insight into the healthy functioning of the brain and how this breaks down in disease. A pertinent example is…”
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