AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

Squeeze-and-Excitation Networks

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Automated deep-neural-network surveillance of cranial images for acute neurologic events

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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent–enhanced CT Images in the Liver

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Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

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Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

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Deep Learning: A Primer for Radiologists

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The impact of operative timing on outcomes of appendicitis: a National Surgical Quality Improvement Project analysis

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Radiology Utilization in the Emergency Department: Trends of the Past 2 Decades

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Time to Appendectomy and Risk of Perforation in Acute Appendicitis

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Representation Learning: A Review and New Perspectives

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A methodology for image quality evaluation of advanced CT systems

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Trends in Computed Tomography Utilization Rates

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Prompt or delayed appendectomy? Influence of timing of surgery for acute appendicitis

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In-hospital Delay Increases the Risk of Perforation in Adults with Appendicitis

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CT and US in the Diagnosis of Appendicitis: An Argument for CT

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