Total lesion glycolysis of primary tumor and lymphnodes is a strong predictor for development of distant metastases in oropharyngeal carcinoma patients with independent validation... by Sebastian Zschaeck, Marina Hajiyianni, Patrick Hausmann, Pavel Nikulin, Emily Kukuk, Christian Furth, Paulina Cegla, Elia Lombardo, Joanna Kazmierska, Adrien Holzgreve, Iosif Strouthos, Carmen Stromberger, Claus Belka, Michael Baumann, Mechthild Krause, Guillaume Landry, Witold Cholewinski, Jorg Kotzerke, Daniel Zips, Jörg van den Hoff, Frank Hofheinz

“…Lesions were manually delineated in the explorative group and automatically delineated by a convolutional neuronal network (CNN) in the validation group. …”
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Quantitative assessment of brain glymphatic imaging features using deep learning-based EPVS segmentation and DTI-ALPS analysis in Alzheimer’s disease by Fenyang Chen, Tiantian Heng, Qi Feng, Rui Hua, Jiaojiao Wu, Feng Shi, Zhengluan Liao, Keyin Qiao, Zhiliang Zhang, Jianliang Miao

“…EPVS were automatically segmented from T1WI and T2WI images using a VB-Net-based model. …”
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A comparison between quantitative gated myocardial perfusion scintigraphy and strain echocardiography as indicators of ventricular functions in patients with anterior myocardial in... by Seyhan Karacavus, Ahmet Celik, Ahmet Tutus, Mustafa Kula, Abdurrahman Oguzhan, Ibrahim Ozdogru, Nihat Kalay

“…In all patients, 385 segments were automatically scored as normokinetic, 206 as hypokinetic, 122 as akinetic, 205 as dyskinetic and 300 as normal thickening, 348 as decrease thickening and 270 as no thickening. …”
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A micro-costing study of mass-spectrometry based quantitative proteomics testing applied to the diagnostic pipeline of mitochondrial and other rare disorders by Francisco Santos Gonzalez, Daniella H. Hock, David R. Thorburn, Dylan Mordaunt, Nicholas A. Williamson, Ching-Seng Ang, David A. Stroud, John Christodoulou, Ilias Goranitis

“…Abstract Background Mass spectrometry-based quantitative proteomics has a demonstrated utility in increasing the diagnostic yield of mitochondrial disorders (MDs) and other rare diseases. …”
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Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism by Linfeng Xi, Jianping Wang, Anqi Liu, Yifei Ni, Jie Du, Qiang Huang, Yishan Li, Jing Wen, Hongyi Wang, Shuai Zhang, Yunxia Zhang, Zhu Zhang, Dingyi Wang, Wanmu Xie, Qian Gao, Yong Cheng, Zhenguo Zhai, Min Liu

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Quantitative 177Lu-DOTATATE SPECT/CT is predictive of 6-month PRRT morphological response in midgut neuroendocrine tumors: a pilot study by Iness Megherbi, Christopher Hoog, Marine Perrier, Hedia Brixi, Guillaume Cadiot, Christine Hoeffel-Fornes, David Morland

“…New quantification modules are now available, enabling automatic SUV calculation. The main goal of this study is to assess the value of the evolution of SUV between the first (C1) and the second (C2) cycle on quantitative PTS in predicting response to treatment. …”
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Artificial Intelligence from Google Environment for Effective Learning Assessment by Sergio Miranda

“…This study investigates the use of Google NotebookLM for the automatic generation of educational assessment items. …”
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Applying Classification Techniques in Machine Learning to Predict Job Satisfaction of University Professors: A Sociodemographic and Occupational Perspective by Carlos Alberto Espinosa-Pinos, Paúl Bladimir Acosta-Pérez, Camila Alessandra Valarezo-Calero

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Shear Wave Elastography for Parotid Glands: Quantitative Analysis of Shear Elastic Modulus in Relation to Age, Gender, and Internal Architecture in Patients with Oral Cancer by Yuka Tanabe, Ai Shirai, Ichiro Ogura

“…SWE is useful for the quantitative evaluation of the parotid glands.…”
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Self-regulation of learning in Chilean primary school students: Validation of an instrument and differences by sex and grade by Fabiola Sáez Delgado, Javier Mella Norambuena, Marcela Bizama, Joan Gatica

“…The method was developed from a positivist paradigm and a quantitative approach. The sample consisted of 514 students from third to eighth grade of primary school in Chile. …”
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Quantitative analysis of diffusion-weighted magnetic resonance images during chemoradiation therapy for cancer of the cervix uteri: Prognostic role of pretreatment diffusion coeffi... by S. A. Kharuzhyk

“…An association of MDC with progression-free and overall  survivals (PFS and OS) was determined in the patients.Results. A semi-automatic tumor segmentation framework could determine the pretreatment quantitative DMI measures with minimal time spent and high reproducibility. …”
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The machine learning in the prediction of elections by M.S.C. José A. León-Borges, M.A. Roger-Ismael-Noh-Balam, Lic. Lino Rangel Gómez, Br. Michael Philip Strand

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Bivalent Carbon Dioxide Heat Pump for Heating of Multi-Story Buildings. Part II by Sit M.L., Juravleov A.A., Tirsu M.S., Lupu M.L., Daud V.P.

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Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review by Yinglin Guo, Ning Li, Chonghui Song, Juan Yang, Yinglan Quan, Hongjiang Zhang

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Enhancing the diagnostic capacity of [18F]PSMA-1007 PET/MRI in primary prostate cancer staging with artificial intelligence and semi-quantitative DCE: an exploratory study by Philip Alexander Glemser, Martin Freitag, Balint Kovacs, Nils Netzer, Antonia Dimitrakopoulou-Strauss, Uwe Haberkorn, Klaus Maier-Hein, Constantin Schwab, Stefan Duensing, Bettina Beuthien-Baumann, Heinz-Peter Schlemmer, David Bonekamp, Frederik Giesel, Christos Sachpekidis

“…DICE coefficients between manual and automatic DL-acquired segmentations were compared. …”
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Quantitative Measures of Pure Ground-Glass Nodules from an Artificial Intelligence Software for Predicting Invasiveness of Pulmonary Adenocarcinoma on Low-Dose CT: A Multicenter St... by Yu Long, Yong Li, Yongji Zheng, Wei Lin, Haomiao Qing, Peng Zhou, Jieke Liu

“…<b>Methods</b>: A total of 388 pGGNs were consecutively enrolled and divided into a training cohort (198 from center 1 between February 2019 and April 2022), testing cohort (99 from center 1 between April 2022 and March 2023), and external validation cohort (91 from centers 2 and 3 between January 2021 and August 2023). The automatically extracted quantitative measures included diameter, volume, attenuation, and mass. …”
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TomatoWUR: An annotated dataset of tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant-trait extraction algorithms for 3D plant phenotyping4TU.researc... by Bart M. van Marrewijk, Tim van Daalen, Katarína Smoleňová, Bolai Xin, Gerrit Polder, Gert Kootstra

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Spatiotemporal-grained quantitative assessment of construction-induced deformation along the MTR in Hong Kong using MT-InSAR and iterative STL-based subsidence ratio analysis by Jiayuan Zhang, Yuhao Liu, Bochen Zhang, Siting Xiong, Chisheng Wang, Songbo Wu, Wu Zhu

“…However, a vast number of complex deformation points, millions and even more, can be derived from InSAR making it challenging to identify the deformation hotspot in time series automatically. This paper proposes a novel method for quantitatively assessing the MT-InSAR-derived deformation results. …”
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Quantitative Determination of Sucrose Adulterated in Red Ginseng by Terahertz Time-Domain Spectroscopy (THz-TDS) with Monte Carlo Uninformative Variable Elimination (MCUVE) and Sup... by Shubao Pan, Huo Zhang, Zhi Li, Tao Chen, Xianhua Yin

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SOFTWARE SHELL FOR DEVELOPMENT AND IMPLEMENTATION OF OBJECT RATING ASSESSMENT COEFFICIENT METHODS by Alexander Ivanovich Dolgov

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