PATTERN RECOGNITION
PATTERN RECOGNITION(英文缩写 PATTERN RECOGN),ISSN 0031-3203,eISSN 1873-5142 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
| 年份 | 影响因子 | JCR 分区 |
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| - | Q1 | |
| - | Q1 | |
| - | Q1 | |
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PATTERN RECOGNITION 最新收录文献
※ 中文译文由 AI 辅助生成,仅供学术参考,请以英文原文为准。
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Hierarchical spatial perception network and SAM-assisted uncertainty suppression for medical image segmentation.
Accurate medical image segmentation is critical for image-guided clinical procedures, yet the complexity and variability of anatomical structures make it highly challenging. To address this, we propos…
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LDM-Morph: Latent diffusion model guided deformable image registration.
Deformable image registration plays an essential role in various medical image tasks. Existing deep learning-based deformable registration frameworks primarily utilize convolutional neural networks (C…
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Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection.
Generic object detection is a category-independent task that relies on accurate modeling of objectness. We show that for accurate semantic analysis, the network needs to learn all object-level predict…
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A Variational Bayesian Approach for Multimodal Multi-instance Classification.
In multiple instance learning (MIL), objects are represented by bags of instances. Each instance shares the same feature set but has unique feature values. MIL aims to train models that predict bag-le…
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A Deep Spatio-Temporal Architecture for Dynamic ECN Analysis with Granger Causality based Causal Discovery.
Neurobrain science provides the motivation for research on causal modeling. The existing causal discovery methods have shown promising results in effective connectivity network analysis, however, they…
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Medical image segmentation using dual-decoder mutual teaching with a mean teacher framework. 医学图像分割采用双解码器互教与均值教师框架
Accurate segmentation of medical images is essential for many clinical applications and is now typically achieved by training deep learning models on large annotated datasets. However, acquiring suffi…
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Multi-graph Graph matching for coronary artery semantic labeling in invasive coronary angiograms. 有创冠状动脉造影中冠状动脉语义标记的多图图匹配
Coronary artery disease (CAD) stands as the leading cause of death worldwide, and invasive coronary angiography (ICA) remains the gold standard for assessing vascular anatomical information. However, …
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A graph transformer-based foundation model for brain functional connectivity network. 基于图变换器的脑功能连接网络基础模型
Although foundation models have advanced many medical imaging fields, their absence in neuroimage analysis limits progress in neuroscience and clinical practice. Brain functional connectivity (FC) ana…
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Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI.
Brain structural MRI has been widely used to assess the future progression of cognitive impairment (CI). Previous learning-based studies usually suffer from the issue of small-sized labeled training d…
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Implicit Image-to-Image Schrödinger Bridge for Image Restoration. 用于图像恢复的隐式图像到图像薛定谔桥
Diffusion-based models have demonstrated remarkable effectiveness in image restoration tasks; however, their iterative denoising process, which starts from Gaussian noise, often leads to slow inferenc…