Search Results - "Niehues, Stefan M"
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The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany
Published in Metabolism, clinical and experimental (01-09-2020)“…Overall obesity has recently been established as an independent risk factor for critical illness in patients with coronavirus disease 2019 (COVID-19). The role…”
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Comparing different deep learning architectures for classification of chest radiographs
Published in Scientific reports (12-08-2020)“…Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models…”
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De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer
Published in Investigative radiology (01-10-2021)“…Objectives The aims of this study were to discriminate among prostate cancers (PCa's) with Gleason scores 6, 7, and ≥8 on biparametric magnetic resonance…”
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Cephalometric studies of the mandible, its masticatory muscles and vasculature of growing Göttingen Minipigs-A comparative anatomical study to refine experimental mandibular surgery
Published in PloS one (25-04-2019)“…Over many decades, the Göttingen Minipig has been used as a large animal model in experimental surgical research of the mandible. Recently several authors have…”
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Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Published in Diagnostics (Basel) (24-06-2020)“…Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a…”
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Are Congenital Cervical Block Vertebrae a Risk Factor for Adjacent Segment Disease? A Retrospective Cross-Sectional CT and MR Imaging Study
Published in Diagnostics (Basel) (31-12-2021)“…Adjacent segment disease (ASDI) is a well-described complication of spinal fusion surgery that may ultimately lead to spinal stenosis and repeated surgical…”
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Refining experimental dental implant testing in the Göttingen Minipig using 3D computed tomography-A morphometric study of the mandibular canal
Published in PloS one (14-09-2017)“…This study reports morphometric and age-related data of the mandibular canal and the alveolar ridge of the Göttingen Minipig to avoid complications during in…”
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Immediate post-interventional contrast-enhanced computed tomography overestimates hepatic microwave ablation - an in vivo animal study
Published in International journal of hyperthermia (01-01-2020)“…Contrast-enhanced computed tomography (CECT) is used to monitor technical success immediately after hepatic microwave ablation (MWA). However, it remains…”
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Changing the Patient's Position: Pitfalls and Benefits for Radiation Dose and Image Quality of Computed Tomography in Polytrauma
Published in Diagnostics (Basel) (01-11-2022)“…For computed tomography (CT), representing the diagnostic standard for trauma patients, image quality is essential. The positioning of the patient’s arms next…”
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Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
Published in Diagnostics (Basel) (21-11-2021)“…State-of-the-art technology in Computed Tomography (CT) includes iterative reconstruction algorithms (IR) and metal artefact reduction (MAR) techniques. The…”
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Valve embolization during transcatheter aortic valve implantation: Incidence, risk factors and follow-up by computed tomography
Published in Frontiers in cardiovascular medicine (22-07-2022)“…Background In most cases of transcatheter valve embolization and migration (TVEM), the embolized valve remains in the aorta after implantation of a second…”
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Comparison of different 4D CT-Perfusion algorithms to visualize lesions after microwave ablation in an in vivo porcine model
Published in International journal of hyperthermia (01-01-2019)“…Background: Accurate lesion visualization after microwave ablation (MWA) remains a challenge. Computed tomography perfusion (CTP) has been proposed to improve…”
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Dataset of prostate MRI annotated for anatomical zones and cancer
Published in Data in brief (01-12-2022)“…In the present work, we present a publicly available, expert-segmented representative dataset of 158 3.0 Tesla biparametric MRIs [1]. There is an increasing…”
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Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study
Published in Radiology (01-05-2023)Get full text
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CT-based measurement of the inner pelvic volume
Published in Acta radiologica (1987) (01-02-2017)“…Background Surgery in the lesser pelvis is associated with a high complication rate as surgeons are spatially limited by solid anatomic structures and soft…”
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Computed Tomography Imaging in Simulated Ongoing Cardiopulmonary Resuscitation: No Need to Switch Off the Chest Compression Device during Image Acquisition
Published in Diagnostics (Basel) (19-06-2021)“…Computed tomography (CT) represents the current standard for imaging of patients with acute life-threatening diseases. As some patients present with…”
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Intermittent Pringle maneuver may be beneficial for radiofrequency ablations in situations with tumor-vessel proximity
Published in Innovative surgical sciences (01-12-2018)“…Radiofrequency ablation (RFA) represents a treatment option for non-resectable liver malignancies. Larger ablations can be achieved with a temporary hepatic…”
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Bail-Out Implantation of an Embolized Balloon-Expandable Transcatheter Heart Valve in the Aortic Arch Using Self-Expandable Stents
Published in The American journal of cardiology (01-10-2022)“…Embolization of a balloon expandable valve during transcatheter aortic valve implantation (TAVR) is a rare complication which generally can be managed by…”
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Automated Lung Volumetry from Routine Thoracic CT Scans
Published in Academic radiology (01-05-2014)“…Rationale and Objectives Today, lung volumes can be easily calculated from chest computed tomography (CT) scans. Modern postprocessing workstations allow…”
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Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports
Published in Bioinformatics (29-01-2021)“…Abstract Motivation The development of deep, bidirectional transformers such as Bidirectional Encoder Representations from Transformers (BERT) led to an…”
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