Search Results - "Niehues, Stefan M"

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  1. 1

    The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany by Petersen, Antonia, Bressem, Keno, Albrecht, Jakob, Thieß, Hans-Martin, Vahldiek, Janis, Hamm, Bernd, Makowski, Marcus R., Niehues, Alexandra, Niehues, Stefan M., Adams, Lisa C.

    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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  2. 2

    Comparing different deep learning architectures for classification of chest radiographs by Bressem, Keno K., Adams, Lisa C., Erxleben, Christoph, Hamm, Bernd, Niehues, Stefan M., Vahldiek, Janis L.

    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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  3. 3

    De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer by Makowski, Marcus R., Bressem, Keno K., Franz, Luise, Kader, Avan, Niehues, Stefan M., Keller, Sarah, Rueckert, Daniel, Adams, Lisa C.

    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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  4. 4

    Cephalometric studies of the mandible, its masticatory muscles and vasculature of growing Göttingen Minipigs-A comparative anatomical study to refine experimental mandibular surgery by Corte, Giuliano Mario, Hünigen, Hana, Richardson, Kenneth C, Niehues, Stefan M, Plendl, Johanna

    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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  5. 5

    Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs by Endres, Michael G, Hillen, Florian, Salloumis, Marios, Sedaghat, Ahmad R, Niehues, Stefan M, Quatela, Olivia, Hanken, Henning, Smeets, Ralf, Beck-Broichsitter, Benedicta, Rendenbach, Carsten, Lakhani, Karim, Heiland, Max, Gaudin, Robert A

    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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  6. 6

    Are Congenital Cervical Block Vertebrae a Risk Factor for Adjacent Segment Disease? A Retrospective Cross-Sectional CT and MR Imaging Study by Jung, Cornelius, Asbach, Patrick, Niehues, Stefan M

    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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  7. 7

    Refining experimental dental implant testing in the Göttingen Minipig using 3D computed tomography-A morphometric study of the mandibular canal by Corte, Giuliano M, Plendl, Johanna, Hünigen, Hana, Richardson, Kenneth C, Gemeinhardt, Ole, Niehues, Stefan M

    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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  8. 8

    Immediate post-interventional contrast-enhanced computed tomography overestimates hepatic microwave ablation - an in vivo animal study by Poch, Franz G., Geyer, Beatrice, Gemeinhardt, Ole, Klopfleisch, Robert, Niehues, Stefan M., Vahldiek, Janis L., Bressem, Keno, Kreis, Martin E., Lehmann, Kai S.

    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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  9. 9

    Changing the Patient's Position: Pitfalls and Benefits for Radiation Dose and Image Quality of Computed Tomography in Polytrauma by Graef, Jessica, Bressem, Keno K, Asbach, Patrick, Hamm, Bernd, Niehues, Stefan M

    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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  10. 10

    Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction by Troeltzsch, Daniel, Shnayien, Seyd, Heiland, Max, Kreutzer, Kilian, Raguse, Jan-Dirk, Hamm, Bernd, Niehues, Stefan M.

    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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    Comparison of different 4D CT-Perfusion algorithms to visualize lesions after microwave ablation in an in vivo porcine model by Bressem, Keno K., Vahldiek, Janis L., Erxleben, Christoph, Geyer, Beatrice, Poch, Franz, Shnayien, Seyd, Lehmann, Kai S., Hamm, B., Niehues, Stefan M.

    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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  13. 13

    Dataset of prostate MRI annotated for anatomical zones and cancer by Adams, Lisa C., Makowski, Marcus R., Engel, Günther, Rattunde, Maximilian, Busch, Felix, Asbach, Patrick, Niehues, Stefan M., Vinayahalingam, Shankeeth, van Ginneken, Bram, Litjens, Geert, Bressem, Keno K.

    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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    CT-based measurement of the inner pelvic volume by Kaufmann, David, Lauscher, Johannes C, Gröne, Jörn, Zur Hausen, Gerrit, Kreis, Martin E, Hamm, Bernd, Niehues, Stefan M

    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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  16. 16

    Computed Tomography Imaging in Simulated Ongoing Cardiopulmonary Resuscitation: No Need to Switch Off the Chest Compression Device during Image Acquisition by Graef, Jessica, Leidel, Bernd A., Bressem, Keno K., Vahldiek, Janis L., Hamm, Bernd, Niehues, Stefan M.

    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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  17. 17

    Intermittent Pringle maneuver may be beneficial for radiofrequency ablations in situations with tumor-vessel proximity by Poch, Franz G.M., Neizert, Christina A., Gemeinhardt, Ole, Geyer, Beatrice, Eminger, Katharina, Rieder, Christian, Niehues, Stefan M., Vahldiek, Janis, Thieme, Stefan F., Lehmann, Kai S.

    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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  18. 18

    Bail-Out Implantation of an Embolized Balloon-Expandable Transcatheter Heart Valve in the Aortic Arch Using Self-Expandable Stents by Dreger, Henryk, Sündermann, Simon, Niehues, Stefan M., Landmesser, Ulf

    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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  19. 19

    Automated Lung Volumetry from Routine Thoracic CT Scans by Haas, Matthias, MD, Hamm, Bernd, MD, Niehues, Stefan M., MD, MA

    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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  20. 20

    Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports by Bressem, Keno K, Adams, Lisa C, Gaudin, Robert A, Tröltzsch, Daniel, Hamm, Bernd, Makowski, Marcus R, Schüle, Chan-Yong, Vahldiek, Janis L, Niehues, Stefan M

    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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