The Performance qualification of automatic volumetric pipettes used in university hospitals in the DRC: Case of Kinshasa, Bukavu, and Kisangani by Joenna Bapite Musongiela, Jocelyn Mankulu Kakumba, Emile Tweni Baruti, Timothé Mavanga Mabaya, Jacquie Bolavie Bolande, Sara Munguakonkwa Byamungu, Jérémie Mbinze Kindenge

“… Introduction Automatic micropipettes are widely used in clinical biology for quantitative analyses in medical diagnostics. …”
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Assessing Patient Health Dynamics by Comparative CT Analysis: An Automatic Approach to Organ and Body Feature Evaluation by Dominik Müller, Jakob Christoph Voran, Mário Macedo, Dennis Hartmann, Charlotte Lind, Derk Frank, Björn Schreiweis, Frank Kramer, Hannes Ulrich

“…Our research presents RadTA (RADiomics Trend Analysis), a novel framework developed to facilitate the automatic analysis of quantitative imaging biomarkers (QIBs) from time-series CT volumes. …”
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Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning by Florian Baletaud, Florian Baletaud, Florian Baletaud, Sébastien Villon, Antoine Gilbert, Jean-Marie Côme, Sylvie Fiat, Corina Iovan, Laurent Vigliola

“…Stereo-Baited Remote Underwater Video Stations (BRUVS) can provide valuable quantitative information on fish stocks, but manually processing large amounts of videos is time-consuming and sometimes unrealistic. …”
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The Role of Quantitative Assessment of Visceral Adipose Tissue of the Heart as a Predictor for Cardiovascular Events by V. Yu. Chernina, S. P. Morozov, L. A. Nizovtsova, I. A. Blokhin, D. I. Sitdikov, V. A. Gombolevskiy

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Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans by Wenyu Xing, Yanping Yang, Yanan Zhou, Tao Jiang, Yifang Li, Yuanlin Song, Dongni Hou, Dean Ta

“…Methods: A weakly-supervised deep learning-based method named CSA2-ResNet was proposed to quantitatively characterize cavity lesions in this paper. …”
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Changes in the quantitative and qualitative indicators of blood in athletes training speed, endurance or strength performance by S. M. Malakhova, V. V. Syvolap, M. S. Potapenko

“…The vast majority of researches have focused on the study of an association between the body physical capabilities and quantitative, qualitative indicators and the rheological properties of blood depending on the level of physical activity or physical performance. …”
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Quantitative Evaluation of Willingness to Use Artificial Intelligence within Business and Economic Academic Environment by Daniela Șerban, Silvia Elena Cristache, Narcisa Georgeta Ciobotar, Laurențiu Gabriel Frâncu, Jiries Mansou

“…The method of analysis used is quantitative, by managing an online questionnaire to which Romanian academic teachers familiar with AI in education responded. …”
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A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis by Elena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari

“…Significant correlations were found between quantitative data derived from µCT and histology data. …”
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Research on the Automatic Recognition Method of Micro-nano Regeneration Rubber Filler Dispersion in Scanning Electron Microscope Images by Yunhui Xu, Min Deng, Hui Tu, Zaheer ul haq, Haifeng Xu, Zhenghua Xin

“…The proposed method automatically identifies and quantifies the dispersion of micro-nano regenerative rubber clusters through particle size and distribution analysis. …”
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The Contribution of Rapid Automatized Naming Skills and Phonological Awareness to Arabic Language Reading Fluency: A Path Analysis by Абдулазіз Альшахрані

“…Methods. A quantitative, cross-sectional and descriptive method was employed, with the main focus on the contribution of rapid automatized naming skills and phonological awareness to Arabic language reading fluency. …”
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Research on the Method of Automatic Generation and Multi-Objective Optimization of Block Spatial Form Based on Thermal Comfort Demand by Zhenhua Xu, Hao Wu, Cong Han, Jiaying Chang

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Automatic Segmentation of the Human Ear Using Active Contour and GrabCut Synergy Based on the Superpixel Cluster Regions by Bahadır Karasulu

“…The ear region is a region of the human body region containing valuable biometric information that is subjected to a few physiological changes depending on the individual’s age. Manual, semi-automatic, or fully automatic segmentation of the ear region in various methods related to the use of the ear region in obtaining biometric information is an important area of research. …”
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Development and Validation of a Complexometric and Potentiometric Titration Method for the Quantitative Determination of Zinc Pyrithione in Shampoo by Greciel E. Egurrola, Angela P. Mazabel, Johnbrynner García

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Approximation of EVLWI in severe COVID-19 pneumonia using quantitative imaging techniques: an observational study by Jonas Biehler, Marie Brei, Nina Pischke, Sebastian Rasch, Miriam Dibos, Johanna Erber, Roland M. Schmid, Rickmer F. Braren, Markus R. Makowski, Karl-Robert Wichmann, Kei Wieland Mueller, Wolfgang A. Wall, Tobias Lahmer

“…Using in-house software tools for automatic semantic segmentation, lung masks were obtained for estimating the EVLW content. …”
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Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma by James W. Smithy, Xiyu Peng, Fiona D. Ehrich, Andrea P. Moy, Mohammad Yosofvand, Colleen Maher, Nathaniel Aleynick, Rami Vanguri, Mingqiang Zhuang, Jasme Lee, MaryLena Bleile, Yanyun Li, Michael A. Postow, Katherine S. Panageas, Travis J. Hollmann, Margaret K. Callahan, Ronglai Shen

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Machine-Learning Classification of Port Wine Stain With Quantitative Features of Optical Coherence Tomography Image by Shengnan Ai, Chengming Wang, Wenxin Zhang, Wenchao Liao, Juicheng Hsieh, Zhenyu Chen, Bin He, Xiao Zhang, Ning Zhang, Ying Gu, Ping Xue

“…Our results suggest that extracting quantitative features from optical coherence tomographic images could be a potentially powerful method for accurately and automatically identifying PWS margins during laser therapy.…”
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Dissemination of Web-Based Data Weigher Survey Application as A Quantitative Research Aid Facilitator by Stephanus Ivan Goenawan, Kumala Indriati, Agustinus Silalahi, Rory Anthony Hutagalung

“…The purpose and benefits of this questionnaire system for professionals, lecturers, or researchers are to facilitate quantitative questionnaire research easily. This can happen because in the questionnaire application with the DWA system, there is an effective and efficient method for processing large amounts of questionnaire data automatically which is directly connected to G-Sheets on a web-based questionnaire system. …”
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Quantitative Validation of Hematocrit Percentage Drop Cutoff Points in Postpartum Hemorrhage: An Automated Gravimetric Approach by Venance Basil Kway, José Enrique Calacuayo Rojas, Josué Sidonio Rodríguez Cuevas, Ursula Medina Moreno, José Sergio Camacho Juárez, Jorge Francisco Ayala González, Karla Krebs Larraga, Ilse Veronica Castro Martinez, Roberto Arturo Castillo Reyther, Antonio Gordillo Moscoso, Yang Pan

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Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study by Saeed Arbabi, Vahid Arbabi, Lorenzo Costa, Iris ten Katen, Simon C. Mastbergen, Peter R. Seevinck, Pim A. de Jong, Harrie Weinans, Mylène P. Jansen, Wouter Foppen

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NasalSeg: A Dataset for Automatic Segmentation of Nasal Cavity and Paranasal Sinuses from 3D CT Images by Yichi Zhang, Jing Wang, Tan Pan, Quanling Jiang, Jingjie Ge, Xin Guo, Chen Jiang, Jie Lu, Jianning Zhang, Xueling Liu, Mei Tian, Yuan Qi, Yuan Cheng, Chuantao Zuo

“…Abstract Modern facial surgical planning and therapeutic strategies rely heavily on the precise segmentation of the nasal cavity and paranasal sinuses from computed tomography (CT) images for quantitative analysis. Nevertheless, manual segmentation is labor-intensive and prone to inconsistencies, highlighting the need for automatic segmentation methods. …”
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