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J

Journal of Imaging

IF3.3
论文数994
被引数4381
期刊论文 994
发表时间
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From Repeatability to Reproducibility in Quantitative Low-Field MRI: A Metrology-Informed Framework for Phantom Evidence从定量低场MRI的重复性到再现性：基于计量学信息的仿体证据框架
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IF3.3
delete2026-10-30
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deleteHelena Kolarova; Jitka Hanusova; Jan Kavalirek; Martin Halaj; Jiri Tesar
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YOLOv8-SLG: A Small-Object Detection Model for Gobiocypris rarus Larvae in Laboratory SettingsYOLOv8-SLG：一种用于实验室环境下稀有鱼苗小目标检测的模型
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IF3.3
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deleteShuo Wang; Bo Wang; Xinhua Zou; Zhiyong Cao; Zhiwei Sun; Shuya Chen; Yongfeng He
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Maximizing Inter-Marker Distance in Square Fiducial Marker Dictionary Generation在方形标记字典生成中最大化标记间距离
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IF3.3
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deleteVíctor Quesada Conejero; Rafael Muñoz-Salinas; Francisco J. Romero-Ramirez; Sergio Garrido-Jurado
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A Color Ceiling in Unsupervised Clustering of Texture Images: Validation Against Expert Annotations on Held-Out Domains无监督纹理图像聚类中的色彩天花板：基于保留域专家标注的验证
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IF3.3
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deleteGalymzhan Abdimanap; Daniyar Nurseitov; Kairat Bostanbekov; Anel Alimova; Tatyana Dedova; Larissa Balakay; Serik Nurakynov; Aibek Merekeyev; Nataliya Tusseyeva
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Which Contrast Phases Does Breast DCE-MRI Tumour Segmentation Need? A Pre-Registered Comparison and Exploratory Analysis乳腺DCE-MRI肿瘤分割需要哪些对比度相位？一项预先注册的比较和探索性分析
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IF3.3
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deleteZhaidar Kairat; Tomiris Zhaksylyk; Beibit Abdikenov; Nursultan Mahanov; Adil Faizullin
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RETRACTED: Yadav et al. A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification. J. Imaging 2023, 9, 10撤稿：Yadav等人。使用概率神经网络和BTFSC-Net模型结合深度学习进行脑肿瘤分类的特征提取。影像学杂志，2023年，9卷，10期
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IF3.3
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deleteArun Singh Yadav; Surendra Kumar; Girija Rani Karetla; Juan Carlos Cotrina-Aliaga; José Luis Arias-Gonzáles; Vinod Kumar; Satyajee Srivastava; Reena Gupta; Sufyan Ibrahim; Nisha S. Tatkar
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Does Tumor-Mask Guidance Improve Glioma Grade Classification from T2-Weighted MRI Alone? An Out-of-Fold Evaluation with nnU-Net and Ground-Truth Localization肿瘤掩膜指导是否能仅从T2加权MRI改善胶质瘤等级分类？基于nnU-Net和真实位置的外折评估
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IF3.3
delete2026-10-28
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deleteVivek Sanker; Dhanya Mahesh; Zhikai Li; Alexander Thaller; Philip Heesen; Linda Liverani; David Wang; Maria Jose Cavagnaro; Ravi Teja Medikonda; Michael Lim
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Advances in Preclinical Imaging: Current Multidisciplinary Applications and Translational Perspectives预临床成像的进展：当前的多学科应用和转化视角
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IF3.3
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deleteSara Gargiulo; Sandra Albanese
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Automated Sinus MRI Phenotyping with PARASIDE: Construct-Specific Validation Against Independent Manual Annotations and Radiological Assessments in a Population-Based Cohort基于PARASIDE的自动化鼻窦MRI表型分析：在基于人群队列中针对独立手动注释和放射学评估的构念特异性验证
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IF3.3
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deleteFabian Paperlein; Markus Blaurock; Benjamin Fenske; Hendrik Möller; Verena Wagner; Lisa Schneider; Tatyana Ivanovska; Chia-Jung Busch; Christian Scharf; Achim Georg Beule
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DFANet: A Lightweight Dual-Branch Feature-Aggregation Network for Metal Surface Defect DetectionDFANet：一种轻量级双分支特征聚合网络用于金属表面缺陷检测
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IF3.3
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deleteHongshan Gou; Yueji Wang; Fujian Feng; Fei Wang; Mian Tan; Weili Yang
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Virtual Reality–Based Subjective Visual Vertical Testing: A Scoping Review of Measurement Methods基于虚拟现实的主观视觉垂直测试：测量方法的范围综述
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deleteTameto Naoi; Jun Watanabe; Keisuke Hamada; Mitsuya Morita
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Source- and Geometry-Dependent Spatial Profiles in Commercial Bioluminescence Imaging: Experimental Comparison and Geant4 Simulations商业生物发光成像中的源依赖和几何依赖空间分布：实验比较与Geant4模拟
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IF3.3
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deleteTim Karstens; Thorsten Frenzel; Antonina Wrzeszcz; Theresa Staufer; Florian Grüner
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GliomaAI: An Open-Source 3D Slicer Extension for Explainable Preoperative Classification of Low-Grade Versus High-Grade Gliomas from MRIGliomaAI：一种用于基于MRI术前可解释性分类低级别与高级别胶质瘤的开源3D Slicer扩展
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IF3.3
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deleteChristos Ch. Andrianos; Spiros A. Kostopoulos; Ioannis K. Kalatzis; Dimitris Th. Glotsos; Pantelis A. Asvestas; Dionisis A. Cavouras; Emmanouil I. Athanasiadis
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RIVER-NET: A Multi-Branch Progressive Aggregation Network for Precise Segmentation of Oral Mucosal LesionsRIVER-NET：一种用于口腔黏膜病变精确分割的多分支渐进聚合网络
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IF3.3
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deleteRuiwen Lv; Yue Teng; Chao Ma; Wenlu Zhou; Xuemin Shen; Zhengyu Shen
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FSD-DETR: A Target Detection Method for Complex Traffic ScenariosFSD-DETR：复杂交通场景下的目标检测方法
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IF3.3
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deleteWei Li; Lihao Zhu; Xiaomeng Liu; Xiangshun Han; Qian Tang
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Methods, Data, and Applications of Artificial Intelligence in Underwater Image Enhancement and Restoration人工智能在水下图像增强与复原中的方法、数据及应用
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IF3.3
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deleteYesong Wang; Shiyu Fu; Sheng Qu; Lihua Zhang
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BactSegNet: A Growth-Stage-Aware, Searched Instance-Segmentation Model for Salmonella and Escherichia coli Microcolonies in Pure-Culture Bright-Field Microscopy with a Food-Matrix SurrogateBactSegNet：一种针对纯培养明亮场显微术中沙门氏菌和大肠杆菌微菌落生长阶段感知、搜索实例分割模型，并包含食品基质替代物
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IF3.3
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deleteMalek Rababa; Namariq Dhahir; Anas AlSobeh; Amer AbuGhazaleh; Khaled R. Ahmed
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Procedural Fractals as Multi-Scale Targets for Evaluating Rasterization Fidelity程序化分形作为多尺度目标评估栅格化保真度
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IF3.3
delete2026-10-23
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deleteNikolina Stanić Loknar; Tajana Koren Ivančević; Ana Agić Cmrk
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A Standardized X-Ray µCT Workflow for Segmenting Roots, Pores, and Water-Associated Phases in a Homogeneous Plant-Growth Substrate一种标准化的X射线µCT工作流程，用于分割均质植物生长基质中的根系、孔隙和水相关相
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IF3.3
delete2026-10-22
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deleteMayka Schmitt Rahner; Katrin Kuka
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SMICA: Semantic and Multi-Granularity Integration with Constrained Adaptation for Fake Image DetectionSMICA：带有约束适应的语义和多粒度集成用于虚假图像检测
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IF3.3
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deleteZhiyu Lin; Zhongbo Wang; Tianxin Xu; Songyu Ye; Xiong Xu; Chengzong Peng
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