Search Results - [PACS] Data analysis: algorithms and implementation

Row-Merged Polar Codes: Analysis, Design, and Decoder Implementation by Zunker, Andreas, Geiselhart, Marvin, Johannsen, Lucas, Kestel, Claus, ten Brink, Stephan, Vogt, Timo, Wehn, Norbert

“… Using novel weight enumeration algorithms with low computational complexity, we propose a design methodology for row-merged polar codes that directly considers their minimum distance properties…”
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Robust-PAC time-critical workflow offloading in edge-to-cloud continuum among heterogeneous resources by Liu, Hongyun, Xin, Ruyue, Chen, Peng, Gao, Hui, Grosso, Paola, Zhao, Zhiming

“… In this work, we propose a robust PAC (probably approximately…”
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Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration by Li, Xiao T., Allen, Jason W., Hu, Ranliang

“… The explosion in volume and need for advanced imaging analysis have led to the creation of numerous software programs, which have begun to be incorporated into clinical practice for indications…”
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MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems by Zhao, Dongbin, Zhu, Yuanheng

“…In this paper, the first probably approximately correct (PAC) algorithm for continuous deterministic systems without relying on any system dynamics is proposed…”
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Integrating Al Algorithms into the Clinical Workflow by Juluru, Krishna, Shih, Hao-Hsin, Keshava Murthy, Krishna Nand, Elnajjar, Pierre, El-Rowmeim, Amin, Roth, Christopher, Genereaux, Brad, Fox, Josef, Siegel, Eliot, Rubin, Daniel L

“…Integration of artificial intelligence (AI) applications within clinical workflows is an important step for leveraging developed AI algorithms…”
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Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction by Aboian, Mariam, Bousabarah, Khaled, Kazarian, Eve, Zeevi, Tal, Holler, Wolfgang, Merkaj, Sara, Cassinelli Petersen, Gabriel, Bahar, Ryan, Subramanian, Harry, Sunku, Pranay, Schrickel, Elizabeth, Bhawnani, Jitendra, Zawalich, Mathew, Mahajan, Amit, Malhotra, Ajay, Payabvash, Sam, Tocino, Irena, Lin, MingDe, Westerhoff, Malte

“… are significantly limited. In this work, we describe a novel platform within PACS for volumetric analysis of images and thus development of large expert annotated datasets in parallel with radiologist performing the reading…”
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Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation by Sucker, Michael, Fadili, Jalal, Ochs, Peter

“…We use the PAC-Bayesian theory for the setting of learning-to-optimize. To the best of our knowledge, we present the first framework to learn optimization algorithms with provable generalization guarantees (PAC-Bayesian bounds…”
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Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC) by Rendall, Ricardo, Reis, Marco S.

“…In the big data and Manufacturing 4.0 era, there is a growing interest in using advanced analytical platforms to develop predictive modeling approaches that take advantage of the wealthy of data available…”
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HLS Implementation of a Building Cube Stencil Computation Framework for an FPGA Accelerator by Furukawa, Daiki, Manabe, Taito, Shibata, Yuichiro, Ueno, Tomohiro, Sano, Kentaro

“… In practical simulations, data reduction methods, such as the building cube method (BCM), are often utilized to balance computation accuracy and speed…”
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Development and internal validation of an algorithm to predict intraoperative risk of inadvertent hypothermia based on preoperative data by Wallisch, C., Zeiner, S., Scholten, P., Dibiasi, C., Kimberger, O.

“… The primary outcome was minimum temperature measured during surgery. Preoperative data, initial vital signs measured before induction of anesthesia, and known comorbidities recorded in the preanesthetic clinic (PAC…”
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Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification by Quispe-Astorga, Amilcar, Coaquira-Castillo, Roger Jesus, Utrilla Mego, L. Walter, Herrera-Levano, Julio Cesar, Concha-Ramos, Yesenia, Sacoto-Cabrera, Erwin J., Moreno-Cardenas, Edison

“…Precision air conditioning (PAC) systems are prone to various types of failures, leading to inefficiencies, increased energy consumption, and possible reductions in equipment performance…”
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Design and Implementation of Interdisciplinary STEM Instruction: Teaching Programming by Computational Physics by Lin, Yu-Tzu, Wang, Ming-Tsan, Wu, Cheng-Chih

“…This study designs and implements interdisciplinary STEM instruction by adopting modelling-based physics programming, and explores its effectiveness on…”
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Attenuation correction for phantom tests: an alternative to maximum-likelihood attenuation correction factor-based correction for clinical studies in time-of-flight PET by Mizuta, Tetsuro, Yamakawa, Yoshiyuki, Minagawa, Suzuka, Kobayashi, Tetsuya, Ohtani, Atsushi, Takenouchi, Shiho, Hanaoka, Kohei, Watanabe, Shota, Morimoto-Ishikawa, Daisuke, Yamada, Takahiro, Kaida, Hayato, Ishii, Kazunari

“…) correction in time-of-flight (TOF) brain positron emission tomography (PET) studies. Methods In the PAC algorithm, a template emission image λ…”
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Natural Language Processing for Asthma Ascertainment in Different Practice Settings by Wi, Chung-Il, Sohn, Sunghwan, Ali, Mir, Krusemark, Elizabeth, Ryu, Euijung, Liu, Hongfang, Juhn, Young J

“…We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC…”
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Implementation of Machine Learning Software on the Radiology Worklist Decreases Scan View Delay for the Detection of Intracranial Hemorrhage on CT by Ginat, Daniel

“… The scan view delay time was calculated as the difference between the time the study was completed on PACS and the time the study was first opened by a radiologist…”
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Critical limitations of consensus clustering in class discovery by Șenbabaoğlu, Yasin, Michailidis, George, Li, Jun Z.

“… For data with known structure, the common implementations of CC perform poorly in identifying the true K…”
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PAC-Bayesian Soft Actor-Critic Learning by Tasdighi, Bahareh, Akgül, Abdullah, Haussmann, Manuel, Brink, Kenny Kazimirzak, Kandemir, Melih

“… We tackle this bottleneck by employing an existing Probably Approximately Correct (PAC) Bayesian bound for the first time as the critic training objective of the Soft Actor-Critic (SAC) algorithm…”
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Selecting Clustering Algorithms for Identity-By-Descent Mapping by Shemirani, Ruhollah, Belbin, Gillian M, Burghardt, Keith, Lerman, Kristina, Avery, Christy L, Kenny, Eimear E, Gignoux, Christopher R, Ambite, José Luis

“…) can provide insights about rare traits and diseases in massive biobanks using IBD mapping. Clustering algorithms play an important role in finding these groups accurately and at scale…”
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Impact of Assimilating GEMS Aerosol Optical Depth on Asian Dust Storm Prediction: Comparative Assessment with MODIS Observation by Lee, Ebony, Zupanski, Milija, Lim, Sujeong, Park, Seon Ki

“…Asian dust storms (ADSs), originating from the Gobi and Taklamakan deserts, have widespread impacts on air quality, climate, ecosystems, and public health…”
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An evaluation of the risk factors associated with implementing projects of health information technology by fuzzy combined ANP-DEMATEL by Sharifian, Roxana, Ghasemi, Farzane, Kharazmi, Erfan, Farhadi, Payam, Monem, Hossein, Shokrpour, Nasrin

“…), PACS system and CPOE has turned into one of the most important criteria of priorities of health care systems…”
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