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Algorithm theory – SWAT 2008 11th Scandinavian Workshop on Algorithm Theory, Gothenburg, Sweden, July 2-4, 2008 : proceedings /
Algorithm Theory-SWAT 2006 10th Scandinavian Workshop on Algorithm Theory, Riga, Latvia, July 6-8, 2006, proceedings /

Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort
Parallel Tracking and Mapping for Controlling VTOL Airframe

A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT
Charge-leveling and proper treatment of long-range electrostatics in all-atom molecular dynamics at constant pH

Corticosteroid Injection for Morton's Interdigital Neuroma: A Systematic Review
A deep learning algorithm for automated measurement of vertebral body compression from X-ray images

Diagnostic characteristics of supplemental laboratory criteria for incomplete Kawasaki disease in children with complete Kawasaki disease
Privacy-preserving parallel kNN classification algorithm using index-based filtering in cloud computing.

Early Termination and Pipelining for Hardware Implementation of Fast H.264 Intraprediction Targeting Mobile HD Applications
Numerical results for the multiobjective trust region algorithm MHT

Comparison of Automated Treponemal and Nontreponemal Test Algorithms as First-Line Syphilis Screening Assays
A genome Tree of Life for the Fungi kingdom

Dosimetric effects of the acuros XB and anisotropic analytical algorithm on volumetric modulated arc therapy planning for prostate cancer using an endorectal balloon
Diagnostic performance of CA 125, HE4, and risk of Ovarian Malignancy Algorithm for ovarian cancer

Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals
Modification of the TNM Staging System for Stage II/III Gastric Cancer Based on a Prognostic Single Patient Classifier Algorithm

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