Results 1 to 10 of about 1,090,949 (282)
BMC Cardiovascular Disorders, 2021 Background The aim of the present study is to evaluate the short-term efficacy and feasibility of radiofrequency ablation in the treatment of complex diffuse arteriovenous (AV) malformations.
Chun-Xiao Ge +5 more
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SciPost Physics, 2023 We present a new algorithm for anomaly detection called Anomaly Awareness. The algorithm learns about normal events while being made aware of the anomalies through a modification of the cost function. We show how this method works in different Particle Physics situations and in standard Computer Vision tasks.
Charanjit K. Khosa, Verónica Sanz
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Orphanet Journal of Rare Diseases, 2023 Klippel-Trénaunay syndrome is typically a complex combined capillary-lymphatic-venous malformation in lower limb. Gastrointestinal involvement is not infrequent in Klippel-Trénaunay syndrome. Rectal bleeding is the most common complication.
Huaijie Wang +5 more
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Fibro-adipose vascular anomaly (FAVA) - diagnosis, staging and management
Orphanet Journal of Rare Diseases, 2023 Background The diagnosis and treatment of fibro-adipose vascular anomaly (FAVA) of the limb remains challenging since this entity is rare and complex.
Huaijie Wang +5 more
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Living Reviews in Relativity, 2010 165 pages, 40 figures, 16 tables; accepted for publication in Living Reviews in ...
Turyshev, Slava, Toth, Viktor
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Frontiers in Pharmacology, 2022 Introduction: Extrusion of azoles from the cell, mediated by an efflux pump Cdr1, is one of the most frequently used strategies for developing azole resistance in pathogenic fungi. The efflux pump Cdr1 is predominantly localized in lipid rafts within the
Hongkang Wang +7 more
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Frontiers in Pediatrics, 2022 Kaposiform hemangioendothelioma (KHE) is a rare vascular neoplasm associated with the Kasabach–Merritt phenomenon (KMP), which is a consumptive coagulopathy with associated potentially life-threatening thrombocytopenia.
Liang Wang +9 more
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Anomaly-free models for flavour anomalies [PDF]
The European Physical Journal C, 2018 18 pages, 1 figure; v2 to match version accepted by EPJ C, note added extending discussion of experimental constraints and appendix added with an additional scenario for anomaly ...
John Ellis +2 more
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Saliencycut: Augmenting Plausible Anomalies for Anomaly Detection
Pattern Recognition, 2023 Anomaly detection under open-set scenario is a challenging task that requires learning discriminative fine-grained features to detect anomalies that were even unseen during training. As a cheap yet effective approach, data augmentation has been widely used to create pseudo anomalies for better training of such models.
Jianan Ye +5 more
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Anomaly Detection with Partially Observed Anomalies [PDF]
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018 In this paper, we consider the problem of anomaly detection. Previous studies mostly deal with this task in either supervised or unsupervised manner according to whether label information is available. However, there always exists settings which are different from the two standard manners.
Ya-Lin Zhang 0001 +4 more
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