Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images by Xiao Pan, Chengtao Wang, Xuhui Luo, Qi Dong, Haiyang Sun, Wentao Zhang, Hongyan Qu, Runzhi Deng, Zitong Lin

“…And the time for bilateral automatic MC localization was 8.52s (± 0.97s). Conclusions In this study, a CNN model was developed for automatic MC localization, and external testing of large sample on multicenter CBCT images showed its excellent clinical application potential.…”
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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…To address these limitations, this article proposes the “zero-shot remote sensing scene classification via automatic knowledge graph and dual-branch semantic correlation supervision (AKG-DBSS).…”
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Measurement of myocardial blood flow in atrial fibrillation using high-resolution, free-breathing in-line quantitative cardiovascular magnetic resonance by Richard J. Crawley, Karl-Philipp Kunze, Anmol Kaushal, Xenios Milidonis, Jack Highton, Blanca Domenech-Ximenos, Irum D. Kotadia, Can Karamanli, Nathan C.K. Wong, Robbie Murphy, Ebraham Alskaf, Radhouene Neji, Mark O’Neill, Steven E. Williams, Cian M. Scannell, Sven Plein, Amedeo Chiribiri

“…Conclusion: Automated quantitative MBF assessment can be performed in patients with AF. …”
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Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning by Maëliss Jallais, Marco Palombo

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A Deep Learning-Based Model Approach for Quantitative Analysis of Cell Chemotaxis in a Microfluidic Chip by Hongxuan Wu, Fei Zhang, Mingji Wei

“…The rapid and accurate quantitative analysis of cell chemotaxis, which is essential in biology, medicine, and drug development, enables the evaluation of the directional migration capability of cells and the simulation of in vivo cell chemotaxis. …”
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Offline Single-Polarization Radar Quantitative Precipitation Estimation Based on a Spatiotemporal Deep Fusion Model by Yonghong Zhang, Shiwei Chen, Wei Tian, Guangyi Ma, Shuai Chen

“…Quantitative precipitation estimation (QPE) based on Doppler radar plays an important role in severe weather monitoring, industrial and agricultural production, and natural disaster prediction and prevention. …”
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Automated quantitative pupillometry as a predictor for transtentorial brain herniation in patients with malignant acute ischemic stroke. by Catherine Park, So Young Park, Min Kim, Bumhee Park, Ji Man Hong

“…Automatic pupillometer assessed PLR automatically every 4-6 hours, measuring eight specific features: NPi (Neurological pupil index) score, initial resting and constriction pupil size, constriction change, constriction velocity, constriction latency, and dilation velocity. …”
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Analyzing Activity of Daily Living Data Utilizing Motor Activity Log Toward Quantitative Scoring System by Mohd Azri Bin Abd Mutalib, Norsinnira Zainul Azlan, Nor Mohd Haziq Norsahperi, Ibrahim Hafizu Hassan

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Effect of lid-wiper epitheliopathy on the corneal epithelial thickness distribution: a novel semiautomatic quantitative method by Jingjian Ye, Meng Lin, Xuzhou Chen, Yuhang Yang, Jue Lin, Di Ma, Ziya Liu, Liang Hu

“…Abstract Background To explore a novel semi-automatic quantitative method for detecting lid-wiper epitheliopathy (LWE) and analyze its impact on the distribution of corneal epithelial thickness (CET). …”
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Assessment of neovascularization in atherosclerotic carotid sinus plaques using quantitative contrast-enhanced ultrasound perfusion imaging by O. A. Ermakova, I. M. Umnov, A. L. Bobrov, K. V. Kitaichev, V. S. Chirsky, D. Yu. Plaminsky

“…To assess the prospects of using quantitative contrast-enhanced ultrasound perfusion imaging of atherosclerotic carotid sinus plaques.Material and methods. …”
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Safety Assessment Method for Parallel Runway Approach Based on MC-EVT for Quantitative Estimation of Collision Probability by Yike Li, Honghai Zhang, Zongbei Shi, Jinlun Zhou, Wenqing Li

“…To ensure the safety of parallel approach operations and further enhance operational efficiency, this study proposes a quantitative safety risk assessment method for parallel approaches based on Monte Carlo simulation (MCS) and extreme value theory (EVT). …”
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Quantitative Analysis of White Matter Hyperintensities as a Predictor of 1-Year Risk for Ischemic Stroke Recurrence by Yi Sun, Wenping Xia, Ran Wei, Zedong Dai, Xilin Sun, Jie Zhu, Bin Song, Hao Wang

“…Results A total of 180 quantitative variables related to WMHs were extracted. …”
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A method for quantifying and automatic grading of musculoskeletal ultrasound superb microvascular imaging based on dynamic analysis of optical flow model by Shanna Liu, Bo Shang, Junliang Yan, Zenghua Zhu, Yuanhao Ding, Qingli Zhou, Chengjing Wei, Yuqiang Shen, Xinjian Zhu

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Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures by Liqu Liu, Bo Shen, Shuchen Huang, Runlin Liu, Weizhang Liao, Bin Wang, Shuo Diao

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A graph embedding‐based approach for automatic cyber‐physical power system risk assessment to prevent and mitigate threats at scale by Shining Sun, Hao Huang, Emily Payne, Shamina Hossain‐McKenzie, Nicholas Jacobs, H. Vincent Poor, Astrid Layton, Katherine Davis

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Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study by Justin Schneiderman, Rolf A Heckemann, Emilia Gryska, Isabella Björkman-Burtscher, Asgeir Store Jakola, Tora Dunås

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Penser en français by Cristina Robalo Cordeiro

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Inter- and Intra-Observer Repeatability of Quantitative Whole-Body, Diffusion-Weighted Imaging (WBDWI) in Metastatic Bone Disease. by Matthew D Blackledge, Nina Tunariu, Matthew R Orton, Anwar R Padhani, David J Collins, Martin O Leach, Dow-Mu Koh

“…Quantitative whole-body diffusion-weighted MRI (WB-DWI) is now possible using semi-automatic segmentation techniques. …”
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Integrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors by Letha Chemmalil, Tanmay Kulkarni, Mathura Raman, Priya Singh, Yueming Qian, Chris Chumsae, Kyle McHugh, Zhuangrong Huang, Eric Hodgman, Michael C. Borys, Julia Ding, Gloria Li, Anthony Leone

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Increased Brain Iron Deposition in the Putamen in Patients with Type 2 Diabetes Mellitus Detected by Quantitative Susceptibility Mapping by Jing Li, Qihao Zhang, Nan Zhang, Lingfei Guo

“…The insulin-resistant state causes iron overload in neurons and leads to lesions in the central nervous system. Quantitative susceptibility mapping (QSM) can provide a noninvasive quantitative analysis of brain iron deposition. …”
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