Search Results - "Vahldiek, Janis L"
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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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Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance
Published in Arthritis research & therapy (08-04-2021)“…Radiographs of the sacroiliac joints are commonly used for the diagnosis and classification of axial spondyloarthritis. The aim of this study was to develop…”
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Successful treatment of severe COVID-19 pneumonia, a case series with simultaneous interleukin-1 and interleukin-6 blockade with 1-month follow-up
Published in Therapeutic advances in musculoskeletal disease (2022)“…Interleukin (IL)-6 and IL-1 blockade showed beneficial results in patients with severe COVID-19 pneumonia and evidence of cytokine release at the early disease…”
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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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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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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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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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Artificial intelligence to analyze magnetic resonance imaging in rheumatology
Published in Joint, bone, spine : revue du rhumatisme (01-05-2024)“…Graphical overview illustrating the application of AI-based techniques in analyzing MRI data for improved diagnosis and predictive modeling in the field of…”
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Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints
Published in Radiology (01-12-2022)“…Background MRI is frequently used for early diagnosis of axial spondyloarthritis (axSpA). However, evaluation is time-consuming and requires profound expertise…”
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Deep learning for accurately recognizing common causes of shoulder pain on radiographs
Published in Skeletal radiology (01-02-2022)“…Objective Training a convolutional neural network (CNN) to detect the most common causes of shoulder pain on plain radiographs and to assess its potential…”
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Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine
Published in Investigative radiology (01-08-2021)“…Validation of deep learning models should separately consider bedside chest radiographs (CXRs) as they are the most challenging to interpret, while at the same…”
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Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints
Published in Radiology (01-05-2023)Get full text
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Instant Outcome Evaluation of Microwave Ablation With Subtraction CT in an In Vivo Porcine Model
Published in Investigative radiology (01-06-2019)“…OBJECTIVESThe aim of this study was to investigate whether the accuracy of multislice contrast-enhanced computed tomography (MS-CECT) may be improved by…”
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Detection of radiographic sacroiliitis with an artificial neural network in patients with suspicion of axial spondyloarthritis
Published in Rheumatology (Oxford, England) (01-12-2021)Get full text
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Exploring Patterns of Dynamic Size Changes of Lesions after Hepatic Microwave Ablation in an In Vivo Porcine Model
Published in Scientific reports (21-01-2020)“…Microwave ablation (MWA) is a type of minimally invasive cancer therapy that uses heat to induce necrosis in solid tumours. Inter- and post-ablational size…”
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Subregion Radiomics Analysis to Display Necrosis After Hepatic Microwave Ablation—A Proof of Concept Study
Published in Investigative radiology (01-07-2020)“…OBJECTIVESThe aim of this study was to improve the visualization of coagulation necrosis after computed tomography (CT)–guided microwave ablation (MWA) in…”
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Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs
Published in Computer methods and programs in biomedicine (01-06-2023)“…•A lightweight convolutional neural network was trained using 2000 bedside CXRs.•Segmentation included lungs, heart, clavicles, trachea, and mediastinum.•The…”
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Improved Visualization of the Necrotic Zone after Microwave Ablation Using Computed Tomography Volume Perfusion in an In Vivo Porcine Model
Published in Scientific reports (06-12-2019)“…After hepatic microwave ablation, the differentiation between fully necrotic and persistent vital tissue through contrast enhanced CT remains a clinical…”
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CT-based quantification of short-term tissue shrinkage following hepatic microwave ablation in an in vivo porcine liver model
Published in Acta radiologica (1987) (01-01-2021)“…Microwave ablation (MWA) is a minimally invasive treatment option for solid tumors and belongs to the local ablative therapeutic techniques, based on thermal…”
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Incidence of combined cranial and cervical spine injuries in patients with blunt minor trauma: are combined CT examinations of the head and cervical spine justified?
Published in Acta radiologica (1987) (01-07-2017)“…Background The use of computed tomography (CT) scans of the head and cervical spine has markedly increased in patients with blunt minor trauma. The actual…”
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