Musical expertise modulates embodied processing of biological motion and audiovisual-motor integration in rhythmic hand tapping by Alice Mado Proverbio, Matteo Valtolina

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Partial information transfer from peripheral visual streams to foveal visual streams may be mediated through local primary visual circuits by Andrea I. Costantino, Benjamin O. Pelzer, Mark A. Williams, Matthew J. Crossley

“…In contrast, higher visual areas resolved semantically distinct images. A functional connectivity analysis revealed foveal V1 connections to both peripheral V1 and later-stage visual areas. …”
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Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study by Maurice M. Heimer, Yevgeniy Dikhtyar, Boj F. Hoppe, Felix L. Herr, Anna Theresa Stüber, Tanja Burkard, Emma Zöller, Matthias P. Fabritius, Lena Unterrainer, Lisa Adams, Annette Thurner, David Kaufmann, Timo Trzaska, Markus Kopp, Okka Hamer, Katharina Maurer, Inka Ristow, Matthias S. May, Amanda Tufman, Judith Spiro, Matthias Brendel, Michael Ingrisch, Jens Ricke, Clemens C. Cyran

“…Abstract Objectives In this multi-center study, we proposed a structured reporting (SR) framework for non-small cell lung cancer (NSCLC) and developed a software-assisted tool to automatically translate image-based findings and annotations into TNM classifications. …”
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Effective defense against physically embedded backdoor attacks via clustering-based filtering by Mohammed Kutbi

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Visages "mangés" par les détails. Réflexions autour d’une double rhétorique de la ressemblance aux débuts de la photographie by Maddalena Parise

“…Through contemporary writing and by analysing the images the aim is to define the complex role of the detail in establishing a double rhetoric of photographic resemblance intended, from its beginnings, to be as much constructed (by the means of representation) as exact (by effect of reference). …”
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AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety by Sayyed Mudassar Shah, Gan Zengkang, Zhaoyun Sun, Tariq Hussain, Khalid Zaman, Abdullah Alwabli, Amar Y. Jaffar, Farman Ali

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Se souvenir qu’il faut oublier : Marc Antoine et l’art de l’oubli augustéen by Virginie Hollard, Emmanuelle Raymond

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Music literacy shapes the specialization of a right hemispheric word reading area by Alice Mado Proverbio, Elham Sanoubari

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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Radiomics features were screened using LASSO analysis. Eight ML algorithms were selected for diagnostic analysis of the test set. …”
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La pose de l’épicier. Reportage ethnographique dans les épiceries grecques et turques de Bruxelles by Katerina Seraïdari

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Increased functional connectivity of amygdalar-frontal pathways in patients with alcohol use disorder and childhood trauma by Elisabeth Jehli, Fabienne Burri, Niklaus Denier, Franz Moggi, Andrea Federspiel, Roland Wiest, Maria Stein, Tobias Bracht, Matthias Grieder, Leila M. Soravia

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Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation by Xiao Lou, Juan Zhu, Jian Yang, Youzhe Zhu, Huazhong Shu, Baosheng Li

“…Specifically, determining the location and scale of the esophagus in simulated computed tomography images was difficult and time-consuming primarily due to its complex structure and low contrast with the surrounding tissues. …”
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Electroencephalography derived connectivity informing epilepsy surgical planning: Towards clinical applications and future perspectives by Giulia Salvatici, Giovanni Pellegrino, Marco Perulli, Alberto Danieli, Paolo Bonanni, Gian Marco Duma

“…Brain surgery is an effective therapeutic approach in this group, hinging on the accurate localization of the epileptic focus. The latter task is complex and requires multimodal investigation methods. …”
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Neurometabolic network (NMetNet) for functional neurological disorder in children and adolescents by Zhou Lan, Sheryl Foster, Molly Charney, Max van Grinsven, Katherine Breedlove, Kasia Kozlowska, Alexander Lin

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Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans by Yusheng Guo, Bingxin Gong, Guowei Jiang, Wang Du, Shuangfeng Dai, Qi Wan, Dongyong Zhu, Chanyuan Liu, Yi Li, Qing Sun, Qianqian Fan, Bo Liang, Lian Yang, Chuansheng Zheng

“…Abstract Background Due to the complex anatomical structure and dynamic involution process of the thymus, segmentation and evaluation of the thymus in medical imaging present significant challenges. …”
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A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

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AbVLM-Q: intelligent quality assessment for abdominal ultrasound standard planes via vision-language modeling by Baohua Wang, Yaqian Wang, Yanhua Chu, Ke Zhang, Lei Liu, Kexin Zhang, Bowen Zhu, Dong Wang, Tianan Jiang

“…It bridges AI-driven imaging analysis with clinical workflows, enhancing quality control in ultrasound diagnostics.…”
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A Stochastic-Variational Model for Soft Mumford-Shah Segmentation by Jianhong (Jackie) Shen

“…In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte Carlo or other stochastic algorithms. …”
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Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data by Maximilian Malek, Christoph W. Sensen

“…We have created an open-source application and framework for rapid GPU-accelerated prototyping, targeting image analysis, including volumetric images such as CT or MRI data. …”
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SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows by Jason C. Crane, Marram P. Olson, Sarah J. Nelson

“…Quantitative analysis of magnetic resonance spectroscopic imaging (MRSI) data provides maps of metabolic parameters that show promise for improving medical diagnosis and therapeutic monitoring. …”
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