Enhanced Liver and Tumor Segmentation Using a Self-Supervised Swin-Transformer-Based Framework with Multitask Learning and Attention Mechanisms by Zhebin Chen, Meng Dou, Xu Luo, Yu Yao

“…Automatic liver and tumor segmentation in contrast-enhanced magnetic resonance imaging (CE-MRI) images are of great value in clinical practice as they can reduce surgeons’ workload and increase the probability of success in surgery. …”
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A machine learning approach to population pharmacokinetic modelling automation by Sam Richardson, Itziar Irurzun Arana, Andrzej Nowojewski, Diansong Zhou, Jacob Leander, Weifeng Tang, Richard Dearden, Megan Gibbs

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Automated Analysis of Service Life of Air-Lines of the Electricity Transmission of Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, S. A. Abdullayeva, A. A. Nazarov

“…There are neither quantitative evaluations nor methodology for their performance. …”
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Water Vapor Correction in Measurements of Aerosol Backscatter Coefficients Using a 910 nm Vaisala CL51 Ceilometer by Jiarui Chen, Xiaoyue Zeng, Siwei Li, Ge Song, Shuangliang Li

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Airway Segmentation and Centerline Extraction from Thoracic CT - Comparison of a New Method to State of the Art Commercialized Methods. by Pall Jens Reynisson, Marta Scali, Erik Smistad, Erlend Fagertun Hofstad, Håkon Olav Leira, Frank Lindseth, Toril Anita Nagelhus Hernes, Tore Amundsen, Hanne Sorger, Thomas Langø

“…On the other hand, the TSF is fully automatic and it provides the user with both segmentation of the airways and the centerlines. …”
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A comprehensive multifaceted technical evaluation framework for implementation of auto-segmentation models in radiotherapy by Robert Poel, Elias Rüfenacht, Stefan Scheib, Hossein Hemmatazad, Reinhardt Krcek, Sébastien Tran, Edourd Romano, Susanne Rogers, Sonja Stieb, Mohamed Riyas Poolakundan, Hissa Hussein Al-Abdulla, Robert Foerster, Christina Schröder, Christoph Oehler, Julian Hong, Sebastiaan Breedveld, Nicolaus Andratschke, Peter Manser, Michael K. Fix, Daniel M. Aebersold, Mauricio Reyes, Ekin Ermiş

“…Abstract Background Manual contouring of organs at risk in radiotherapy is time-consuming, taking 1-4 hours per case. Automatic segmentation using deep learning has emerged as a promising solution, with many commercial options now available. …”
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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

“…Results GPT-4 outperformed other models in both the quantitative and qualitative evaluations, with ChatGPT showing the same capability, but with lower quantitative scores, in the qualitative evaluation. …”
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Reproducibility of retinal nerve fiber layer and macular volume measurements in patients receiving retinal protection pharmacotherapy by Dmitry A. Dorofeev, Aleksey A. Antonov, Irina V. Kozlova, Elena V. Kirilik, Ksenia O. Lukyanova, Olga G. Pozdeeva, Olga B. Solovyeva, Artem Z. Tsyganov

“…The agreement between the macular volume measurements was as follows: in manual mode, LCCCstart=0.21 (95% CI: 0.21-0.29); while in automatic mode, LCCCstart=0.21 (95% CI: 0.21-0.29). …”
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Evaluating ChatGPT-3’s efficacy in solving coding tasks: implications for academic integrity in English language assessments by Seyedeh Elham Elhambakhsh

“…Abstract The purpose of this study was to examine ChatGPT-3’s capabilities to generate code solutions for assessment problems commonly assessed by automatic correction tools in the TEFL academic setting, focusing on the Kattis platform. …”
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Contextuality of cognitive control deficits in alcohol dependence — pro et contra by Anna A. Berezin, Anna V. Trusova, Anton N. Gvozdetcki, Svetlana G. Klimanova

“…Thus, the aim of the study was to examine the features of cognitive control (inhibition of automatic response) and the general level of cognitive functioning in a Russianspeaking sample of alcohol-dependent individuals (AD) using quantitative assessment methods. …”
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Contextuality of cognitive control deficits in alcohol dependence - pro et contra by A. A. Berezina, A. V. Trusova, A. N. Gvozdetckii, S. G. Klimanova

“…Thus, the aim of the study was to examine the features of cognitive control (inhibition of automatic response) and the general level of cognitive functioning in a Russian-speaking sample of alcohol-dependent individuals (AD) using quantitative assessment methods. …”
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Quality of Radar Direction-Finding via Conical Scanning by A. D. Pluzhnikov, L. V. Kogteva, E. N. Pribludova, S. B. Sidorov, E. G. Chuzhaykin

“…To adjust and complement the known calculation relations for the variance of direction finding results – an indicator of the quality (accuracy) of direction finding, as well as to determine the possibilities of optimizing direction finding and automatic object tracking processes.Materials and methods. …”
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Crack Detection and Evolution Law for Rock Mass under SHPB Impact Tests by Xie Beijing, Dihao Ai, Yu Yang

“…In order to accurately identify and quantitatively calculate the surface cracks of rock mass under SHPB impact loading, an automatic crack detection algorithm was proposed and evaluated by the experiment. …”
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Automated text processing: topic segmentation of educational texts by Marina I. Solnyshkina, Iskander E. Yarmakeev, Elzara V. Gafiyatova, Farida Kh. Ismaeva

“…The article explores the problem of automatic quantitative assessment of text complexity and thematic segmentation of texts. …”
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On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages by Daniele Rossini, Danilo Croce, Roberto Basili

“…Its integration with an explanation methodology, the Layer-wise Relevance Propagation, supports here the automatic compilation of argumentations for the Kernel-based Deep Architecture decisions, expressed in form of analogy with activated landmarks. …”
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Aquaporins as Membrane Proteins: The Current Status by Irena Roterman, Katarzyna Stapor, Dawid Dułak, Grzegorz Szoniec, Leszek Konieczny

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Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression by Fatma Taher, Reem T. Haweel, Usama M. H. Al Bastaki, Eman Abdelwahed, Tariq Rehman, Tarek I. Haweel

“…Currently, real-time quantitative reverse transcription-PCR (rqRT-PCR) is popular for coronavirus detection due to its high specificity, simple quantitative analysis, and higher sensitivity than conventional RT-PCR. …”
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Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings by Tan Lyu, Miao Ye, Minjie Yuan, Haina Chen, Sijie Han, Lifang Yu, Chen Li

“…AI provides invaluable support for quantitative analysis and significantly improves diagnostic efficiency. …”
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Methodology for Determining the Response Time of Thermo Transducers for Measuring the Temperature of Gas Flows by Vasyl Fedynets

“…Gas flow temperature is an important parameter of the process, determines the quantitative and qualitative indicators of the original product, the presence of defects, the state of technological equipment, as well as the safety of the process. …”
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Methodology for Visual Quality Estimation of Aerial and Satellite Images by I. Anikeeva, A. Chibunichev

“…The developed methodology makes it possible to estimate the aerial and satellite images visual quality based on quantitative indicators in automatic mode.…”
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