Convergence and efficiency of high order parallel schemes for nonlinear engineering models by Mudassir Shams, Nasreen Kausar, Ali Akgül, Joseph El Maalouf

“…Numerical outcomes on benchmark engineering problems reveal that the proposed methods are more efficient and stable as compared exiting method solutions, particularly in terms of residual error, error graph, computational time in seconds, percentage computational efficiency and computational cost. …”
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Imaging Studies of the Stifle Joint in <i>Puma concolor</i> (Linnaeus, 1771) by Eduardo Burgarelli Mayrink Cardoso, Sheila Canevese Rahal, Jeana Pereira da Silva, Maria Jaqueline Mamprim, Jair Theodoro Filho, Gabriela Montezel Frigerio, Paulo Hilário Nascimento Saldiva, Mário Manuel Dinis Ginja, Karin Werther

“…This study aimed to evaluate the stifle joints of eight <i>Puma concolor</i>, including two young and six adults, through different imaging examinations. …”
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Abdominal B-Cell Lymphoma Mimicking Ovarian Cancer by Dennis Jung, Lina Judit Schiestl, Simin Schadmand-Fischer, Arno Schad, Annette Hasenburg, Roxana Schwab

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Advances in application of photon-counting CT for pancreatic imaging by HUANG Ruikun, YANG Yanzhao, CHAI Weimin

“…Photon-counting computed tomography (PCCT) is an advanced CT imaging technology based on novel photon-counting detectors. …”
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COMPARATIVE ANALYSIS OF RADIOLOGIC ASPECTS OF FACET JOINTS IN SURGICAL TREATMENT OF PATIENTS WITH DEGENERATIVE DISEASES OF THE LUMBAR SPINE by A. Ye. Krivoshein, V. P. Konev, S. V. Kolesov, S. N. Moskovsky

“…Objective To study the radiologic characteristics of facet joints at different stages of the degenerative process in the lumbar spine to determine the indications for various methods of fixing the affected segment and to evaluate the results of treatment.Material and Methods To determine the radiologic aspects of facet joints in the affected area and in  adjacent segments of the lumbar spine, two groups were formed, including 136 patients who underwent multispiral computed tomography in two-energy mode before surgery and 12 months after surgery. …”
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CBCT study of mandibular first molars with a distolingual root in Koreans by Hee-Ho Kim, Hyoung-Hoon Jo, Jeong-Bum Min, Ho-Keel Hwang

“…ObjectivesThis study aimed to investigate the prevalence of a separate distolingual root and to measure the thickness of the buccal cortical bone in mandibular first molars in Koreans using cone-beam computed tomography (CBCT) images.Materials and MethodsHigh-quality CBCT data from 432 patients were analyzed in this study. …”
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Imageless optical navigation system is clinically valid for total knee arthroplasty by Taylor B. Winberg, Sheila Wang, James L. Howard

“…The purpose of this study was to evaluate the accuracy of an imageless optical navigation system for TKA in a clinical setting. …”
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Impact of rhinosinusal polyposis on CT score in patients with chronic rhinosinustis by Dudvarski Zoran, Janošević Ljiljana, Penđer Ivica, Đukić Vojko, Ješić Snežana, Dimitrijević Milovan, Arsović Nenad

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FRPNet: A Lightweight Multi-Altitude Field Rice Panicle Detection and Counting Network Based on Unmanned Aerial Vehicle Images by Yuheng Guo, Wei Zhan, Zhiliang Zhang, Yu Zhang, Hongshen Guo

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Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation by Yipeng Qu, Joohee Kim

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Neural Network Pruning for Lightweight Metal Corrosion Image Segmentation Models by Vincent F. Yu, Gemilang Santiyuda, Shih-Wei Lin, Udjianna S. Pasaribu, Yuli Sri Afrianti

“…This study investigates lightweight DL models for corrosion segmentation by applying structured pruning to reduce computational costs while maintaining accuracy. We evaluate five segmentation architectures (U-Net, U-Net++, FPN, LinkNet, and MA-Net) and three pruning strategies (linear, automated gradual pruning, and movement pruning) on two corrosion image datasets (NEA and SSCS). …”
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Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis by Sanjar Bakhtiyorov, Sabina Umirzakova, Musabek Musaev, Akmalbek Abdusalomov, Taeg Keun Whangbo

“…Methods: The RTMDet model incorporates novel depthwise convolutional blocks designed to reduce computational load while maintaining diagnostic precision. …”
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SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imaging by Aidana Massalimova, Florentin Liebmann, Sascha Jecklin, Fabio Carrillo, Mazda Farshad, Philipp Fürnstahl

“…State-of-the-art computer- and robot-assisted surgery systems rely on intraoperative imaging technologies such as computed tomography and fluoroscopy to provide detailed 3D visualizations of patient anatomy. …”
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Automated Digitization Approach for Road Intersections Mapping: Leveraging Azimuth and Curve Detection from Geo-Spatial Data by Ahmad M. Senousi, Wael Ahmed, Xintao Liu, Walid Darwish

“…This study presents an automated computational geometry solution for precise road intersection mapping that eliminates common digitization errors. …”
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Radiofrequency ablation of osteoid osteoma in common and technically challenging locations in pediatric population by Shaileshkumar Garge, Shyamkumar Nidugala Keshava, Vinu Moses, George Koshy, Munawwar Ahmed, Suraj Mammen, Vrisha Madhuri

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Study on Key Parameter Range for Curie Point Passive Shutdown Device Based on Integrated Fast Reactor by LI Xinyu, ZHANG Xisi, XUE Fangyuan, LIU Yizhe

“…In this paper, a advanced computational fluid dynamics (CFD) software was used to ensured that unintentional rod ejection during routine reactor operations was avoided. …”
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Prediction of early mucosal healing of Crohn’s disease after treatment with biologics- a novel nomogram based on radiomics and clinical risk factors by Linlin Huang, Hui Li, Shuo Wang, Ying Ren

“…Clinical indicators and conventional imaging features were evaluated to establish a clinical model. Radiomics features were extracted from computed tomography enterography (CTE) images, with regions of interest (ROIs) manually delineated to align with ulcerated intestinal segments identified through colonoscopy. …”
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Lossy DICOM conversion may affect AI performance by Robin Sebastian Mayer, Fabian Fliedner, Ingvild Frøberg Mathisen, Anna Laib, Julia Bein, Marco Eichelberg, Peter J. Wild, Nadine Flinner

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UAV-assisted MEC offloading strategy with peak AOI boundary optimization: A method based on DDQN by Zhixiong Chen, Jiawei Yang, Zhenyu Zhou

“…The peak AoI boundary performance of multiple access is evaluated according to stochastic network calculus theory. …”
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In silico dietary interventions using whole-body metabolic models reveal sex-specific and differential dietary risk profiles for metabolic syndrome by Drew S. Alessi, Drew S. Alessi, Drew S. Alessi, Chloe V. McCreery, Chloe V. McCreery, Ali R. Zomorrodi, Ali R. Zomorrodi

“…These models were utilized to computationally evaluate the effect of 12 diverse dietary regimens on key MetS biomarkers—glucose, triacylglycerol, LDL-C, HDL-C—and fatty acid beta-oxidation in representative male and female subjects. …”
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