Sonal Shukla,Scott Doyle
Sonal Shukla
Purpose: Artificial intelligence has emerged as a powerful technique for data analysis and predictive modeling. However, traditional centralized learning methods, which require aggregating large and diverse datasets at a ...
Cross-modality 3D MRI synthesis via cycle-guided denoising diffusion probability model [0.03%]
基于循环去噪扩散概率模型的跨模态三维磁共振图像合成方法
Mingzhe Hu,Shaoyan Pan,Chih-Wei Chang et al.
Mingzhe Hu et al.
Purpose: We propose a deep learning framework, the cycle-guided denoising diffusion probability model (CG-DDPM), for cross-modality magnetic resonance imaging (MRI) synthesis. The CG-DDPM aims to generate high-quality MRI...
Scribble-supervised method for cardiac tissue segmentation using position and temporal contrastive information [0.03%]
基于位置和时间对比信息的心肌组织 scribble监督分割方法
Xiaoxuan Ma,Yingao Du,Kuncheng Lian
Xiaoxuan Ma
Purpose: Accurate pixel-level segmentation is essential for medical image analysis, particularly in assisting diagnosis and treatment planning. However, fully supervised learning methods rely heavily on high-quality annot...
Automated coronary calcium detection and scoring on multicenter, multiprotocol noncontrast CT [0.03%]
多中心、多协议非对比度CT的冠状钙化自动检测和评分
Andrew M Nguyen,Jianfei Liu,Tejas Sudharshan Mathai et al.
Andrew M Nguyen et al.
Purpose: Coronary artery disease is the leading global cause of mortality. Automated detection and scoring of calcified plaques can help cardiovascular risk assessment. We propose a deep learning method for automatic dete...
Mary N Henderson,David B Jordan,Zong-Ming Li
Mary N Henderson
Purpose: The purpose of this study was to assess the variations in shear-wave speed (SWS) in individual thenar muscles under varied pinch forces in healthy adults. It was hypothesized that (1) SWS would vary among the ind...
Interpretable convolutional neural network for autism diagnosis support in children using structural magnetic resonance imaging datasets [0.03%]
基于结构磁共振图像数据的儿童自闭症诊断辅助的可解释卷积神经网络
Garazi Casillas Martinez,Anthony Winder,Emma A M Stanley et al.
Garazi Casillas Martinez et al.
Purpose: Autism is one of the most common neurodevelopmental conditions, and it is characterized by restricted, repetitive behaviors and social difficulties that affect daily functioning. It is challenging to provide an e...
Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learning [0.03%]
基于全卷积图像到图像学习的高效高分辨率空间组学预测方法-img2st-net
Junchao Zhu,Ruining Deng,Junlin Guo et al.
Junchao Zhu et al.
Purpose: Recent advances in multimodal artificial intelligence (AI) have demonstrated promising potential for generating the currently expensive spatial transcriptomics (ST) data directly from routine histology images, of...
Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment [0.03%]
谐和万张连接图：跨站点分析的不变表征学习在脑网络连通性及认知障碍中的应用
Nancy R Newlin,Michael E Kim,Praitayini Kanakaraj et al.
Nancy R Newlin et al.
Purpose: Data-driven harmonization can mitigate systematic confounding signals across imaging cohorts caused by variance in scanners and acquisition protocols. As diffusion magnetic resonance imaging data are often acquir...
Beyond the Victory Lap [0.03%]
超越胜利的光环
Bennett A Landman
Bennett A Landman
The editorial introduces JMI Volume 12 Issue 5, as it marks the beginning of a new academic year with a celebration of innovation, mentorship, and the evolving role of scholarly publishing in medical imaging. It emphasizes that impactful re...
Advancing Medical Image Perception and Quality Assessment Through Technology and Human Factors Research [0.03%]
技术与人为因素研究在医学图像感知和质量评估中的应用与发展
Frank Tong,Elizabeth A Krupinski
Frank Tong
The editorial introduces the Special Section on Medical Image Perception and Observer Performance for JMI Volume 12 Issue 5. © 2025 Society of Photo-Opt...