Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…Results: The automated segmentation achieved high accuracy, with qualitative and quantitative assessments demonstrating predictions closely aligned with ground truths. …”
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Clinical feasibility of Ethos auto-segmentation for adaptive whole-breast cancer treatment by Jessica Prunaretty, Fatima Mekki, Pierre-Ivan Laurent, Aurelie Morel, Pauline Hinault, Celine Bourgier, David Azria, Pascal Fenoglietto

“…The physician-validated contours were transferred onto the plans automatically generated by Ethos in adaptive mode. The dose prescription was 52.2Gy in 18 fractions for the boost, 42.3Gy for the breast, IMC, and nodes. …”
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Automated Medical Image Captioning Using the BLIP Model: Enhancing Diagnostic Support with AI-Driven Language Generation by Enas Abbas Abed, Taoufik Aguili

“…The paper under analysis analyzes the BLIP model, which is an automatic medical image clinical captioning model. …”
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Features of microcirculation in school age children with chronic gastroduodenal pathology combined with arterial hypertension by T. N Mikhiejeva, D. Yu. Nechytailo

“…Blood pressure measurement was provided with automatic and mechanical tonometers three times at 3 minutes intervals between each measurement. …”
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Navigational decision-making method for wide inland waterways with traffic separation scheme navigation system by Luping Xu, Liwen Huang, Xingya Zhao, Jinlai Liu, Jiahao Chen, Kun Zhang, Yixiong He

“…Subsequently, a multi-ship navigation decision-making experiment was conducted using available Automatic Identification System (AIS) data for the study area. …”
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Impact of 3DVAR Data Assimilation on the Prediction of Heavy Rainfall over Southern China by Tuanjie Hou, Fanyou Kong, Xunlai Chen, Hengchi Lei

“…Observations from Doppler radars, surface Automatic Weather Station (AWS) network, and radiosondes are used in the experiments to evaluate the impact of data assimilation on short-term quantitative precipitation forecast (QPF) skill. …”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

“…In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. …”
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Toward Salient Key Phrase for Candidate Topic Detection by Yasser S. Jude, Wafaa Al-Hameed

“…With exponential growth of digital information, the need for efficient methods for automatic keyphrase extraction has become increasingly important. …”
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Adaptive differential current relay based on form/ripple factors for busbar current signals by R. A. Mahmoud

“…The modified approach aims to achieve automatic resetting to inhibit the relay operation during external faults and to avoid any delay or restriction of the relay operation during severe internal faults due to the presence of harmonics. …”
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Turkish Chest X-Ray Report Generation Model Using the Swin Enhanced Yield Transformer (Model-SEY) Framework by Murat Ucan, Buket Kaya, Mehmet Kaya

“…<b>Methods</b>: A deep learning-based approach called Model-SEY was developed with the aim of automatically generating Turkish medical reports from chest X-ray images. …”
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Integrating Artificial Intelligence and Big Data in Spanish Journalism Education: A Curricular Analysis by Santiago Tejedor, Laura Cervi, Luis M. Romero-Rodríguez, Stephanie Vick

“…Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important training challenges for professionals in the field of communication. …”
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Metacognitive strategies in translation: a comparative study of student and professional translators by Dahui Dong, Meng-Lin Chen

“…Professional translators demonstrated greater flexibility in switching between automatic and controlled processes, adapting their strategies according to textual challenges. …”
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AI-Driven Digital Twins for Enhancing Indoor Environmental Quality and Energy Efficiency in Smart Building Systems by Ibrahim Yitmen, Amjad Almusaed, Muaz Hussein, Asaad Almssad

“…A scoping review was performed to establish the theoretical background about DTs, AI, IEQ, and SBS, semi-structured interviews were conducted with the specialists in the industry to obtain qualitative data, and quantitative data were gathered via a computerized self-administered questionnaire (CSAQ) survey, focusing on how DTs can improve IEQ and EE in SBS. …”
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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…In this paper, an automatic algorithm aimed at volumetric segmentation of acute ischemic stroke lesion in non-contrast computed tomography brain 3D images is proposed. …”
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Correlation of Blood Glucose Levels with Profiles Hematology on Patient Diabetes Mellitus with Ulcer Diabetes by Candra Kusuma Negara, Tintin Sukartini, Yulis Setiya Dewi, Nursalam, Endang Pertiwiwati, Lucia Andi Chrismilasari, Rifda Nur Achriyana Arif, Devi Rahmayanti, Irfan Maulana

“…Hematological profiles were analyzed with an automatic hematology analyzer, while blood glucose levels were measured using Point-of-Care Testing (POCT). …”
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Evaluation of microplate handling accuracy for applying robotic arms in laboratory automation by Yoritaka Harazono, Haruko Shimono, Kikumi Hata, Toutai Mitsuyama, Takaaki Horinouchi

“…However, there has been no quantitative investigation of the positional accuracy of robot arms required to transfer microplates. …”
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ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images by Gustavo Zanoni Felipe, Loris Nanni, Isadora Goulart Garcia, Jacqueline Nelisis Zanoni, Yandre Maldonado e Gomes da Costa

“…We also introduce an approach that combines automatic instance segmentation models with Segment Anything Model (SAM) architectures, enabling human interaction while maintaining high efficiency. …”
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Errors-in-variables and validation problems in reaction norm predictions for wild populations by Rolf Ergon

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Semantics-guided spatial data generation for complex large-scale indoor map from 3D colorized point clouds by Z. Wang, X. Wang, J. Yang, T. Li

“…With the popularization of the concept of smart cities and the development of indoor positioning and navigation services, as well as the increasing complexity of building structures with the continuous advancement of urbanization, automatic mapping of large-scale indoor spatial data has become the fundamental work for subsequent real-life 3D applications. …”
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Tooth image segmentation and root canal measurement based on deep learning by Ziqing Chen, Qi Liu, Jialei Wang, Nuo Ji, Yuhang Gong, Bo Gao

“…The segmentation results are mapped back to the original coordinates and position-corrected, followed by automatic measurement and visualization of root canal lengths and angles.ResultsQuantitative evaluation demonstrated a segmentation Dice coefficient of 96.33%, Jaccard coefficient of 92.94%, Hausdorff distance of 2.04 mm, and Average surface distance of 0.24 mm - all surpassing existing methods. …”
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