The Influence of Effective Energy on Computed Tomography Number Depends on Tissue Characteristics in Monoenergetic Cardiac Imaging by Satoshi Okayama, Tsunenari Soeda, Yasuhiro Takami, Rika Kawakami, Satoshi Somekawa, Shiro Uemura, Yoshihiko Saito

“…Purpose. To evaluate the influence of effective energy on computed tomography (CT) number in monoenergetic images (MEIs). …”
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18FDG Uptake in Sinonasal Inverted Papilloma Detected by Positron Emission Tomography/Computed Tomography by E. Allegra, M. G. Cristofaro, L. G. Cascini, N. Lombardo, O. Tamburrini, A. Garozzo

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ECO(VI)2SE: Expert-computer vision integration for visual coral status exploration by Daniel Langenkämper, Aksel Alstad Mogstad, Ingunn Nilssen, Tim W. Nattkemper

“…Comparisons with manual ROV video evaluations from field personnel showed that the results from the computational approach correlated with the expert-based assessment.…”
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The computer procedures to analyse the parameters of the Auditory Brainstem Responses in advanced retrocochlear tumors of the auditory pathway by W. BOCHENEK, J. HATLIŃSKI, Z. RANACHOWSKI

“…Applying the computer procedure designed for processing the averaged ABR waveforms, the latencies in the time domain of waves I, III, V were calculated and the ratio of the amplitudes of those waves in both ears of the same patient was evaluated and correlated with the surgically verified size of the tumor.…”
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Comparison of abdominal computed tomography to ultrasonography in the diagnosis of biliary disease in dogs with acute abdominal signs by Shanna M. Marroquin, Alison M. Lee, Marc A. Seitz, Robert W. Wills, Kimberly Ann Woodruff

“…IntroductionComputed tomography (CT) is becoming increasingly popular for canine patients; however, limited information is available comparing its performance to ultrasonography (US) in identifying canine biliary pathology causing acute abdominal signs. …”
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A COMPARATIVE STUDY: PERFORMANCE OF LARGE LANGUAGE MODELS IN SIMPLIFYING TURKISH COMPUTED TOMOGRAPHY REPORTS by Eren Çamur, Turay Cesur, Yasin Celal Güneş

“…Objective: This study evaluated the effectiveness of various large language models (LLMs) in simplifying Turkish Computed Tomograpghy (CT) reports, a common imaging modality.Material and Method: Using fictional CT findings, we followed the Standards for Reporting of Diagnostic Accuracy Studies (STARD) and the Declaration of Helsinki. …”
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Qualitative and Quantitative Computed Tomography Analyses of Lung Adenocarcinoma for Predicting Spread Through Air Spaces by Fumi Kameda, Yoshie Kunihiro, Masahiro Tanabe, Masatoshi Nakashima, Taiga Kobayashi, Toshiki Tanaka, Yoshinobu Hoshii, Katsuyoshi Ito

“…This study aimed to evaluate the preoperative computed tomography (CT) findings of primary lung adenocarcinoma in surgically resected T1 cases and to compare CT findings with and without STAS. …”
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Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

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Assessment of olfactory fossa depth using computed tomography imaging in a tertiary care setting by Shantala Sawkar, Adarsh AD, Anil Kumar Sakalecha, Mahima Kale R, Soumya Z Chincholikar

“…The depth of the OF is determined by the size of the lateral lamella of the cribriform plate. Multidetector computed tomography is gold standard in evaluating the structure of the nasal cavity and paranasal sinuses (PNS). …”
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Clinical significance of contrast extravasation on computed tomography immediately after thermal ablation for hepatic tumors by Dong Kyu Kim, Joon Ho Kwon, Kichang Han, Juil Park, Gyoung Min Kim, Man-Deuk Kim, Jong Yun Won

“…Abstract Background To evaluate the clinical significance of contrast extravasation observed on post-ablation computed tomography (CT) performed immediately following thermal ablation of hepatic tumors. …”
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Using Fuzzy Logic to Construction of Expert Computer Model for Forecast of Compressive Strength of the Portland Cement by Basil Al-Khayyat, Sufyan Al-Dabbagh

“…The present study aims at construction of expert computer model for forecast of compressive strength of the Portland cement. …”
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Enhancing Human-Computer Interaction in Digital Repositories through a MCDA-Based Recommender System by Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

“…In view of this compelling need and towards advancing human-computer interaction, this paper presents a recommender system which is incorporated in a digital repository. …”
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Cytomorphological and Cytomorphometric Analysis of Oral Squames in Smokers Using Computer Aided Image Analysis System by Priyanka Choudhary, Jyoti Kasana, Bhupender Bhati, Vidyadevi Chandavarkar, Deepak Bhargava, Mithilesh N. Mishra

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Computer vision-based road lane glass beads quality analysis system using ANN by Gi-sang Kang, Jong-Jae Lee, Jong Woo Kim, Seung Wan Seo, Hoki Ban

“…This system utilizes computer vision to detect the glass beads and extract their feature data. …”
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Development of a Mobile Application for Musculoskeletal Rehabilitation Based on Computer Vision and Inertial Navigation Technologies by Artem Obukhov, Andrey Volkov, Yuri Nikitnikov

“…The results obtained can be used for evaluating outpatient rehabilitation and as a basis for more complex and functional mobile systems for musculoskeletal rehabilitation.…”
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A Secure Key-Aggregate Keyword Retrieval Scheme Over Encrypted Data in Cloud Computing by Chunwei Lou, Mingsheng Cao, Yaohua Luo, Hua Xu, Yuan Gao, Weiwei Wang, Dong Wang

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Boosting brain-computer interface performance through cognitive training: A brain-centric approach by Ziyuan Zhang, Ziyu Wang, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

“…Previous efforts to boost the performance of brain-computer interfaces (BCIs) have predominantly focused on optimizing algorithms for decoding brain signals. …”
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Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction by Zhen-Yao Chen

“…The experimental results have represented that the consolidation of AIS-inspired and PSO-inspired algorithms is an outstanding approach and therefore a hybrid algorithm is proposed, which aims to obtain an expression that can cultivate optimum precision among related algorithms in this research. The algorithm then evaluates results from five standard inspections and an empirical industrial grade computer (IgC) sales prediction instance in Taiwan, which reveals that the proposed SAIPS algorithm exceeds the performance among related algorithms as well as the relevant auto-regressive integrated moving average (ARIMA) models in terms of accuracy and time spent.…”
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Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach by Przemysław Sekuła, Narjes Shayesteh, Qinglian He, Sara Zahedian, Rodrigo Moscoso, Michał Cholewa

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Efficient computation using spatial-photonic Ising machines with low-rank and circulant matrix constraints by Richard Zhipeng Wang, James S. Cummins, Marvin Syed, Nikita Stroev, George Pastras, Jason Sakellariou, Symeon Tsintzos, Alexis Askitopoulos, Daniele Veraldi, Marcello Calvanese Strinati, Silvia Gentilini, Davide Pierangeli, Claudio Conti, Natalia G. Berloff

“…We explore the practical benefits of the low-rank approximation in optimisation tasks, particularly in financial optimisation, to demonstrate the real-world applications of SPIMs. Finally, we evaluate the computational limitations imposed by SPIM hardware precision and suggest strategies to optimise the performance of these systems within these constraints.…”
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