Suchergebnisse - (( (statement OR state) python code analysis ) OR ( (staten OR state:ct) python code analysis ))

An image-based modeling framework for patient-specific computational hemodynamics von Antiga, Luca, Piccinelli, Marina, Botti, Lorenzo, Ene-Iordache, Bogdan, Remuzzi, Andrea, Steinman, David A.

“… The framework takes advantage of the integration of image processing, geometric analysis and mesh generation techniques, with an accent on full automation and high-level interaction …”
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Bayesian modelling of time series data (BayModTS)—a FAIR workflow to process sparse and highly variable data von Höpfl, Sebastian, Albadry, Mohamed, Dahmen, Uta, Herrmann, Karl-Heinz, Kindler, Eva Marie, König, Matthias, Reichenbach, Jürgen Rainer, Tautenhahn, Hans-Michael, Wei, Weiwei, Zhao, Wan-Ting, Radde, Nicole Erika

“… Motivation Systems biology aims to better understand living systems through mathematical modelling of experimental and clinical data. A pervasive challenge in …”
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Comprehensive framework of GPU-accelerated image reconstruction for photoacoustic computed tomography von Wang, Yibing, Li, Changhui

“… Photoacoustic computed tomography (PACT) is a promising non-invasive imaging technique for both life science and clinical implementations. To achieve fast …”
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Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX von Blackledge, Matthew D., Collins, David J., Koh, Dow-Mu, Leach, Martin O.

“… We present pyOsiriX, a plugin built for the already popular dicom viewer OsiriX that provides users the ability to extend the functionality of OsiriX through simple Python scripts …”
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A new database website for nuclear level densities von Rathi, Chirag, Voinov, Alexander, Godbey, Kyle, Meisel, Zach, Leibensperger, Kristen

“… Built using the Dash framework in Python, the database is designed to be interactive and user-friendly, allowing researchers to search, visualize, fit, and export NLD data with minimal effort …”
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MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning von Müller, Dominik, Kramer, Frank

“… analysis, metrics, a library with state-of-the-art deep learning models and model utilization like training, prediction, as well as fully automatic evaluation (e.g. cross-validation …”
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Analysis of Concrete Air Voids: Comparing OpenAI-Generated Python Code with MATLAB Scripts and Enhancing 2D Image Processing Using 3D CT Scan Data von Asadi, Iman, Shpak, Andrei, Jacobsen, Stefan

“… This study explored the use of ChatGPT, an AI tool, to generate Python code for analyzing air void parameters in hardened concrete, such as total air void content (A), specific surface (α …”
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Python Data Analyst's Toolkit - Learn Python and Python-Based Libraries with Applications in Data Analysis and Statistics von Rajagopalan, Gayathri

“… The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts - programming with Python, data analysis and visualization, and statistics …”
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A General Theorem and Proof for the Identification of Composed CFA Models von Bee, R. Maximilian, Koch, Tobias, Eid, Michael

“… Composed CFA models are frequently used in the analysis of multimethod data, longitudinal data, or multidimensional psychometric data …”
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What R and Python programming languages bring to the table von Aller, Raymond D, Weiner, Hal

“… The two most widely used open-source big data analysis tools-R and Python-are proving their mettle in the clinical laboratory …”
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Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer von Park, Jihwan, Rho, Mi Jung, Moon, Mi Hyoung

“… Identifying patients at high risk of recurrence using preoperative computed tomography (CT) images could enable more aggressive surgical approaches, shorter surveillance intervals, and intensified adjuvant treatments …”
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Development of an Interactive Code for Quick Data Analyses between STOR-M Tokamak Experimental Plasma Discharges von Nakajima, Masaru, Basu, Debjyoti, Melnikov, Alexander V., McColl, David, Xiao, Chijin

“… ) tokamak operation, Ohmic H-mode triggering by the electrode biasing, fueling and momentum injection by Compact Torus (CT …”
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GSEApy: a comprehensive package for performing gene set enrichment analysis in Python von Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

“… Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes …”
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xMEN: a modular toolkit for cross-lingual medical entity normalization von Borchert, Florian, Llorca, Ignacio, Roller, Roland, Arnrich, Bert, Schapranow, Matthieu-P

“… Objective To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to …”
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VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres von Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

“… We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN …”
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Assessing code readability in Python programming courses using eye‐tracking von Segedinac, Milan, Savić, Goran, Zeljković, Ivana, Slivka, Jelena, Konjović, Zora

“… This paper assesses the readability of Python code statements commonly used in undergraduate programming courses …”
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Effects of Gamified Python Programming on Primary School Students’ Computational Thinking Skills: A Differential Analysis of Gender von Sun, Lihui, Liu, Junjie

“… ’ understanding of programming’s abstract concepts and code logic. Text-based programming approaches can solve the problems faced by graphical programming, but few studies have explored the impact of text-based programming on CT …”
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MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials von Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

“… The MechElastic Python package evaluates the mechanical and elastic properties of bulk and 2D materials using the elastic coefficient matrix (Cij …”
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scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data von Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

“… Abstract Summary scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a …”
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pyIAST: Ideal adsorbed solution theory (IAST) Python package von Simon, Cory M., Smit, Berend, Haranczyk, Maciej

“… We present an open-source, user-friendly Python package, pyIAST, to perform IAST calculations for an arbitrary number of components …”
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