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Deep learning algorithm performance evaluation in detection and classification of liver disease using CT images Enthalten in Multimedia tools and applications Bd. 83, 15.5.2023, Nr. 1, date:1.2024: 2773-2790
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Deep learning algorithm (YOLOv7) for automated renal mass detection on contrast-enhanced MRI: a 2D and 2.5D evaluation of results Enthalten in Abdominal radiology Bd. 49, 17.2.2024, Nr. 4, date:4.2024: 1194-1201
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Deep learning image reconstruction algorithm for carotid dual-energy computed tomography angiography: evaluation of image quality and diagnostic performance Enthalten in Insights into imaging Bd. 13, 26.11.2022, Nr. 1, date:12.2022: 1-12
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Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs—A Preliminary Study Enthalten in Journal of imaging informatics in medicine Bd. 37, 1.3.2024, Nr. 4, date:8.2024: 1960-1968
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Design and evaluation of medical ultrasonic adaptive beamforming algorithm implementation on heterogeneous embedded computing platform Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on embedded systems Bd. 2017, 23.1.2017, Nr. 1, date:12.2017: 1-12
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Design and evaluation of multi-GPU enabled Multiple Symbol Detection algorithm Enthalten in The journal of supercomputing Bd. 72, 7.7.2015, Nr. 6, date:6.2016: 2111-2131
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Design of Logistics Sorting Algorithm Based on Deep Learning and Sampling Evaluation Enthalten in International journal of computational intelligence systems Bd. 17, 4.4.2024, Nr. 1, date:12.2024: 1-16
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418 |
Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics Enthalten in BMC bioinformatics Bd. 5, 04.8.2004, Nr. 1, date:12.2004: 1-12
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Developing an atmospheric aging evaluation model of acrylic coatings: A semi-supervised machine learning algorithm Enthalten in International journal of minerals, metallurgy and materials Bd. 31, 28.5.2024, Nr. 7, date:7.2024: 1617-1627
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Development and evaluation of a clinical algorithm to monitor patients on antiretrovirals in resource-limited settings using adherence, clinical and CD4 cell count criteria Enthalten in International AIDS Society: Journal of the International AIDS Society Bd. 12, 04.3.2009, Nr. 1, date:12.2009: 1-10
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