Table_1_Predicting Poststroke Pneumonia in Patients With Anterior Large Vessel Occlusion: A Prospective, Population-Based Stroke Registry Analysis.pdf by Martin A. Schaller-Paule (11143866)

“…Objective<p>To assess predictive factors for poststroke pneumonia (PSP) in patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) of the anterior circulation, with special regard to the impact of intravenous thrombolysis (IVT) and endovascular treatment (EVT) on the risk of PSP. …”

Definition of optimal thresholds for the performance of the AI-tool in children. by Prerana Agarwal (21781515)

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Definition of optimal thresholds for the performance of the AI-tool in children. by Prerana Agarwal (21781515)

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Results of the model on test sets 1 and 2. by Rémy Peyret (14691736)

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Data set constituents. by Rémy Peyret (14691736)

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Scanners and staining methods. by Rémy Peyret (14691736)

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Whole slide image (WSI) processing pipeline for invasive carcinoma (IC) detection. by Rémy Peyret (14691736)

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Variations in slide appearance. by Rémy Peyret (14691736)

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Development of the deep learning model using two-phase training. by Rémy Peyret (14691736)

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Two-stage dataset generation and training process. by Rémy Peyret (14691736)

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Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Inversion of Stabilized Large Droplet Clusters by Alexander A. Fedorets (7376702)

Median ATR-FTIR absorbance spectra of malignant (<i>n = 88</i>) and benign (<i>n = 78</i>) breast tissue samples. by Rock Christian Tomas (12003669)

Data_Sheet_1_The Framing Preference for Large and Increasing Components in Static and Dynamic Descriptions.docx by Henk Pander Maat (11720801)

Estimation of the mutation-rate increase is accurate and precise when the mutation-supply ratio is sufficiently large. by Lucy Lansch-Justen (18625920)

The 3CP circle model captures spatial scale increase in large-eddy simulations (LES). by Silas Boye Nissen (6815351)

Illustration of the learning and sampling of a large sequence using a “classical” and a conditional RBM (CRBM). by Burak Yelmen (10098165)

As large errors we classified recommendations with a deviation from the truth in the top 25 percentiles. by Daniela Sele (9749590)