Manuel Schmidt
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View article: AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CT
AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CT Open
Objective: This study aimed to evaluate whether modifying the post-processing algorithm of Twin-Spiral Dual-Energy computed tomography (DECT) improves infarct detection compared to conventional Dual-Energy CT (DECT) and Single-Energy CT (S…
View article: AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CT
AI-Assisted Edema Map Optimization Improves Infarction Detection in Twin-Spiral Dual-Energy CT Open
Objective: This study aimed to evaluate whether modifying the post-processing algorithm of twin-spiral dual-energy computed tomography (DECT) improves infarct detection compared to conventional dual-energy or single-energy CT (DECT/SECT) f…
View article: A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma
A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma Open
Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiotherapy (RT) in glioblastoma patients is crucial for optimal treatment planning. However, this task remains challenging due to the overlapping im…
View article: Switch to tenecteplase for intravenous thrombolysis in stroke patients: experience from a German high-volume stroke center
Switch to tenecteplase for intravenous thrombolysis in stroke patients: experience from a German high-volume stroke center Open
Background Tenecteplase (TNK) offers promising efficacy and safety data for intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) and pharmacological advantages over alteplase (rt-PA), justifying its gradual adoption as primary thr…
View article: MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases
MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases Open
Distortions in brain MRI caused by gradient nonlinearities may reach several millimeters, thus distortion correction is strongly recommended for radiotherapy treatment planning. However, the significance of MRI distortion correction on act…
View article: A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma
A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma Open
Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiotherapy (RT) in glioblastoma (GBM) patients is crucial for optimal treatment planning. However, this task remains challenging due to the overlapp…
View article: MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases
MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases Open
Distortions in brain MRI caused by gradient nonlinearities may reach several millimeters, thus distortion correction is strongly recommended for radiotherapy treatment planning. However, the significance of MRI distortion correction on act…
View article: Late‐onset Krabbe disease presenting as spastic paraplegia – implications of <scp>GCase</scp> and <scp>CTSB</scp>/D
Late‐onset Krabbe disease presenting as spastic paraplegia – implications of <span>GCase</span> and <span>CTSB</span>/D Open
Objective Krabbe disease (KD) is a multisystem neurodegenerative disorder with severe disability and premature death, mostly with an infancy/childhood onset. In rare cases of late‐onset phenotypes, symptoms are often milder and difficult t…
View article: Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma Open
Background: This research aims to improve glioblastoma survival prediction by integrating MR images, clinical and molecular-pathologic data in a transformer-based deep learning model, addressing data heterogeneity and performance generaliz…
View article: Improved quantification in CEST‐MRI by joint spatial total generalized variation
Improved quantification in CEST‐MRI by joint spatial total generalized variation Open
Purpose In this work, the use of joint Total Generalized Variation (TGV) regularization to improve Multipool‐Lorentzian fitting of chemical exchange saturation transfer (CEST) Spectra in terms of stability and parameter signal‐to‐noise rat…
View article: Comprehensive 7 T CEST: A clinical MRI protocol covering multiple exchange rate regimes
Comprehensive 7 T CEST: A clinical MRI protocol covering multiple exchange rate regimes Open
Chemical exchange saturation transfer (CEST) is a magnetic resonance (MR) imaging method providing molecular image contrasts based on indirect detection of low concentrated solutes. Previous CEST studies focused predominantly on the imagin…
View article: Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma
Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma Open
Background This research aims to improve glioblastoma survival prediction by integrating MR images, clinical, and molecular-pathologic data in a transformer-based deep learning model, addressing data heterogeneity and performance generaliz…
View article: Novel Homozygous FA2H Variant Causing the Full Spectrum of Fatty Acid Hydroxylase-Associated Neurodegeneration (SPG35)
Novel Homozygous FA2H Variant Causing the Full Spectrum of Fatty Acid Hydroxylase-Associated Neurodegeneration (SPG35) Open
Fatty acid hydroxylase-associated neurodegeneration (FAHN/SPG35) is caused by pathogenic variants in FA2H and has been linked to a continuum of specific motor and non-motor neurological symptoms, leading to progressive disability. As an ul…
View article: Fluid suppression in amide proton transfer‐weighted (<scp>APTw) CEST</scp> imaging: New theoretical insights and clinical benefits
Fluid suppression in amide proton transfer‐weighted (<span>APTw) CEST</span> imaging: New theoretical insights and clinical benefits Open
Purpose Amide proton transfer‐weighted (APTw) MRI at 3T provides a unique contrast for brain tumor imaging. However, APTw imaging suffers from hyperintensities in liquid compartments such as cystic or necrotic structures and provides a dis…
View article: Can Perfusion-Based Brain Tissue Oxygenation MRI Support the Understanding of Cerebral Abscesses In Vivo?
Can Perfusion-Based Brain Tissue Oxygenation MRI Support the Understanding of Cerebral Abscesses In Vivo? Open
Purpose: The clinical condition of a brain abscess is a potentially life-threatening disease. The combination of MRI-based imaging, surgical therapy and microbiological analysis is critical for the treatment and convalescence of the indivi…
View article: <scp>MR‐zero</scp> meets <scp>RARE MRI:</scp> Joint optimization of refocusing flip angles and neural networks to minimize <scp>T<sub>2</sub></scp>‐induced blurring in spin echo sequences
<span>MR‐zero</span> meets <span>RARE MRI:</span> Joint optimization of refocusing flip angles and neural networks to minimize <span>T<sub>2</sub></span>‐induced blurring in spin echo sequences Open
Purpose An end‐to‐end differentiable 2D Bloch simulation is used to reduce T 2 induced blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused echoes (RARE) sequences, by using a joint optimization of re…
View article: Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy
Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy Open
Purpose:If routine diagnostics are inconclusive, neurologic deterioration and death of patients with brain cancer are attributed to tumor or therapy. Therefore, diagnosing symptoms of encephalopathy caused by human cytomegalovirus (HCMV) r…
View article: Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy
Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy Open
Purpose:If routine diagnostics are inconclusive, neurologic deterioration and death of patients with brain cancer are attributed to tumor or therapy. Therefore, diagnosing symptoms of encephalopathy caused by human cytomegalovirus (HCMV) r…
View article: Supplementary Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy
Supplementary Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy Open
Supplementary Table 1
View article: Supplementary Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy
Supplementary Data from Early Mortality of Brain Cancer Patients and its Connection to Cytomegalovirus Reactivation During Radiochemotherapy Open
Supplementary Table 1
View article: PASSED: Brain atrophy in non-demented individuals in a long-term longitudinal study from two independent cohorts
PASSED: Brain atrophy in non-demented individuals in a long-term longitudinal study from two independent cohorts Open
Introduction Alzheimer’s disease (AD) is indicated by a decrease in amyloid beta 42 (Aβ42) level or the Aβ42/Aβ40 ratio, and by increased levels of Tau with phosphorylated threonine at position 181 (pTau181) in cerebrospinal fluid (CSF) ye…
View article: Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning
Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning Open
Stereotactic radiotherapy (SRT) is one of the most important treatment for patients with brain metastases (BM). Conventionally, following SRT patients are monitored by serial imaging and receive salvage treatments in case of significant tu…
View article: Accuracy of Dose-Saving Artificial-Intelligence-Based 3D Angiography (3DA) for Grading of Intracranial Artery Stenoses: Preliminary Findings
Accuracy of Dose-Saving Artificial-Intelligence-Based 3D Angiography (3DA) for Grading of Intracranial Artery Stenoses: Preliminary Findings Open
Background and purpose: Based on artificial intelligence (AI), 3D angiography (3DA) is a novel postprocessing algorithm for “DSA-like” 3D imaging of cerebral vasculature. Because 3DA requires neither mask runs nor digital subtraction as th…