Para-YOLO: An Efficient High-Parameter Low-Computation Algorithm Based on YOLO11n for Remote Sensing Object Detection by Hang Chen, Qi Cao, Yongqiang Wang, Shang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

“…Initially, Para-YOLO is evaluated on the SIMD dataset, achieving 83.3% in terms of mAP@50. …”
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Urinary stone assessment in a single-phase may replace the unenhanced and multiphase computed tomography protocol in painless visible haematuria by Kristina Flor Galtung, Peter Mæhre Lauritzen, Gunnar Sandbæk, Dag Bay, Eduard Baco, Erik Rud

“… Objective: Painless visible haematuria (VH) necessitates a computed tomography (CT) usually consisting of one unenhanced and two to three contrast enhanced acquisitions to detect urinary tract stones and malignancy. …”
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Intraoperative computed tomography-guided robotic needle biopsy system with real-time imaging ability and remote-center-of-motion control by Zheng-Yang Lai, Chun-Ting Kuo, Shun-Mao Yang, Ming-Chih Ho, Yung-Yaw Chen, Tsu-Chin Tsao, Jia-Yush Yen

“…Objective Traditional computed tomography (CT)-guided tumor ablation procedures are often hampered by the need for repeated scans and significant radiation exposure, primarily due to challenges in manual needle insertion and the iterative realignment process. …”
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Comparative Retreatment Efficacy of Two Multi-File Systems with Different Access Cavity Designs: A Micro-Computed Tomography Study by Emine Odabaşı Tezer, Dilan Kırmızı, Mohamad Abduljalil, Fatma Basmacı, Arda Buyuksungur, Meltem Dartar Öztan

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Nanosponge-Encapsulated Polyoxometalates: Unveiling the Multi-Faceted Potential Against Cancers and Metastases Through Comprehensive Preparation, Characterization, and Computationa... by Muhammad Sajjad, Muhammad Zubair Malik, Ayesha Bint Umar Awan, Hamid Saeed Shah, Muhammad Sarfraz, Faisal Usman, Tahir Ali Chohan, Tanveer A. Wani, Seema Zargar, Zobia Jawad

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Is a single lethal electric field threshold sufficient to characterize the lesion size in computational modeling of cardiac pulsed-field ablation? by Argyrios Petras, PhD, Gerard Amoros Figueras, PhD, Zoraida Moreno Weidmann, MD, Tomás García-Sánchez, PhD, David Viladés Medel, MD, PhD, Antoni Ivorra, PhD, Jose M. Guerra, MD, PhD, Luca Gerardo-Giorda, PhD

“…Objective: This work aims to evaluate the predicted lesion anisotropy ratios using a PFA computational model by applying it to an open-chest in vivo porcine model geometry. …”
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A Computationally Designed Prefusion Stabilized Human Metapneumovirus Fusion Protein Vaccine Antigen Elicited a Potent Neutralization Response by Michael Kishko, Antonia Stuebler, Sukanya Sasmal, Yvonne Chan, Dean Huang, Christopher Reyes, Jasmine Lin, Owen Price, Ana Kume, Katie Zong, Christine Bricault, Judith Alamares-Sapuay, Linong Zhang

“…When immunogenicity of N46V_T160F was evaluated in mice, it induced higher binding and neutralizing antibody titers than the benchmark, which stemmed in part from increased levels of site Ø and site II targeting Abs. …”
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Computed tomography-based radiomics model for predicting station 4 lymph node metastasis in non-small cell lung cancer by Yanru Kang, Mei Li, Xizi Xing, Kaixuan Qian, Hongxia Liu, Yafei Qi, Yanguo Liu, Yi Cui, Hua Zhang

“…Station 4 mediastinal lymph nodes (LNs) regions of interest (ROIs) were semi-automatically segmented on venous-phase computed tomography (CT) images for radiomics feature extraction. …”
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Computational Discovery of Novel Chalcogenide Perovskites YbMX₃ (M = Zr, Hf; X = S, Se) for Optoelectronics by Qingyu Li, Helong Wu, Weiguo Li, Jiming Zhang, Rongjian Sa

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Skeletal Muscle Segmentation at the Level of the Third Lumbar Vertebra (L3) in Low-Dose Computed Tomography: A Lightweight Algorithm by Xuzhi Zhao, Yi Du, Haizhen Yue

“…Background: The cross-sectional area of skeletal muscles at the level of the third lumbar vertebra (L3) measured from computed tomography (CT) images is an established imaging biomarker used to assess patients’ nutritional status. …”
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An Integrative Computational Approach for Identifying Cotton Host Plant MicroRNAs with Potential to Abate CLCuKoV-Bur Infection by Muhammad Aleem Ashraf, Imran Shahid, Judith K. Brown, Naitong Yu

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Association of computed tomography‐derived body composition and complications after colorectal cancer surgery: A systematic review and meta‐analysis by Claire P.M. vanHelsdingen, Job G.A. vanWijlick, Ralph deVries, Nicole D. Bouvy, Mariska M.G. Leeflang, Robert Hemke, Joep P.M. Derikx

“…Body composition measurements on a computed tomography (CT) scan can potentially contribute to a better preoperative risk assessment. …”
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Feasibility of Implementing Motion-Compensated Magnetic Resonance Imaging Reconstruction on Graphics Processing Units Using Compute Unified Device Architecture by Mohamed Aziz Zeroual, Natalia Dudysheva, Vincent Gras, Franck Mauconduit, Karyna Isaieva, Pierre-André Vuissoz, Freddy Odille

“…Motion correction in magnetic resonance imaging (MRI) has become increasingly complex due to the high computational demands of iterative reconstruction algorithms and the heterogeneity of emerging computing platforms. …”
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Computational fluid dynamics analysis for predicting microaneurysm formation in parent arteries of unruptured cerebral aneurysms: implications for neck clipping safety by Kento Sasaki, Ichiro Nakahara, Kotaro Kihara, Shiho Tanaka, Riki Tanaka, Akiko Hasebe, Jun Tanabe, Kenichi Haraguchi, Yasuhiro Yamada, Fuminari Komatsu, Mai Okubo, Tomoka Katayama, Yoko Kato, Yuichi Hirose

“…Thinning of the vascular wall near the aneurysm neck, particularly with microaneurysm formation, has emerged as a significant risk factor, yet these changes often go undetected in preoperative imaging.ObjectiveThis study aimed to evaluate the utility of computational fluid dynamics (CFD) analysis for predicting microaneurysm formation in the parent artery adjacent to unruptured cerebral aneurysms, using the parent artery radiation sign (PARS) as a predictive marker.MethodsWe conducted a single-center, retrospective observational study of 89 patients with unruptured middle cerebral artery (MCA) aneurysms treated with neck clipping from May 2020 to April 2022. …”
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Grey-to-white matter ratio on computed tomography for predicting neurological outcome in patients with heat stroke: a retrospective cohort study by Hua Wei, Hongling Zhu, Hongling Zhu, Menglong Liu, Menglong Liu, Xiaodan Zhu, Xiaodan Zhu, Anyong Yu, Can Luo, Can Luo, Qingbo Zeng, Qingbo Zeng, Fating Zhou, Fating Zhou, Haizhen Duan

“…ObjectiveGrey-to-white matter ratio (GWR) is an early and sensitive indicator of cerebral oedema in patients with hypoxic-ischaemic brain injury, we aimed to evaluate the prognostic value of GWR for predicting neurological outcome in heat stroke patients.MethodsThis multicentre retrospective analysis included 86 patients with heat stroke patients who underwent cranial computed tomography (CT). …”
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THE FIRST EXPERIENCE OF USING 99MTC-1-THIO-D-GLUCOSE FOR SINGLE-PHOTON EMISSION COMPUTED TOMOGRAPHY IMAGING OF LYMPHOMAS by V. I. Chernov, E. A. Dudnikova, R. V. Zelchan, T. L. Kravchuk, A. V. Danilova, A. A. Medvedeva, I. G. Sinilkin, O. D. Bragina, V. E. Goldberg, A. V. Goldberg, I. G. Frolova

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Understanding user evaluation structures for wooden frames in open-plan offices: a quantitative and qualitative study by Takashi Shima, Katsuhiko Sakata, Mayu Shirakawa, Yuko Tsunetsugu

“…The study involved 20 Japanese participants who evaluated 16 computer-generated images of OPO, designed with varying factors related to wood placement, material, and spatial elements. …”
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LLM-as-a-Judge: automated evaluation of search query parsing using large language models by Mehmet Selman Baysan, Serkan Uysal, İrem İşlek, Çağla Çığ Karaman, Tunga Güngör

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Task distribution offloading algorithm of vehicle edge network based on DQN by Haitao ZHAO, Tangwei ZHANG, Yue CHEN, Houlin ZHAO, Hongbo ZHU

“…In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.…”
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Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge by Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani

“…Current systems face significant computational and storage demands, especially in real-time applications like gunshot detection systems (GSDS), and the proliferation of edge sensors exacerbates these issues. …”
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