Adrian Wilder-Smith
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View article: Liver Segment and Lesion Segmentation on CT and MRI: An Open-Source Contribution to TotalSegmentator
Liver Segment and Lesion Segmentation on CT and MRI: An Open-Source Contribution to TotalSegmentator Open
This study aims to develop a tool based on deep learning algorithms for automatic liver segment and liver lesion segmentation on Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). We demonstrate its clinical utility using a qua…
View article: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network
Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network Open
Test data set
View article: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network
Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network Open
Test data set
View article: Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network
Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network Open
Pericardial effusions (PEFs) are often missed on Computed Tomography (CT), which particularly affects the outcome of patients presenting with hemodynamic compromise. An automatic PEF detection, segmentation, and classification tool would e…
View article: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network
Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network Open
Trainingsdata for chest CT pericard effusion and the finish trained nnU-Net model.
View article: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network
Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network Open
Trainingsdata for chest CT pericard effusion and the finish trained nnU-Net model.
View article: Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network
Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network Open
Trainingsdata for chest CT pericard effusion and the finish trained nnU-Net model.
View article: Diagnostic Accuracy of Imaging Findings in Pleural Empyema: Systematic Review and Meta-Analysis
Diagnostic Accuracy of Imaging Findings in Pleural Empyema: Systematic Review and Meta-Analysis Open
Computed tomography (CT) diagnosis of empyema is challenging because current literature features multiple overlapping pleural findings. We aimed to identify informative findings for structured reporting. The screening according to inclusio…
View article: Zika virus tropism and interactions in myelinating neural cell cultures: CNS cells and myelin are preferentially affected
Zika virus tropism and interactions in myelinating neural cell cultures: CNS cells and myelin are preferentially affected Open
The recent global outbreak of Zika virus (ZIKV) infection has been linked to severe neurological disorders affecting the peripheral and central nervous systems (PNS and CNS, respectively). The pathobiology underlying these diverse clinical…