Iterative clustering material decomposition aided by empirical spectral correction for photon counting detectors in micro-CT [0.03%]
基于经验光谱校正的迭代聚类材料分解微CT光电计数探测器法
J Carlos Rodriguez Luna,Mini Das
J Carlos Rodriguez Luna
Purpose: Photon counting detectors offer promising advancements in computed tomography (CT) imaging by enabling the quantification and three-dimensional imaging of contrast agents and tissue types through simultaneous mul...
Special Section Guest Editorial: Introduction to the JMI Special Section on Augmented and Virtual Reality in Medical Imaging [0.03%]
医疗影像增强现实与虚拟现实专题导言
Ryan Beams,Raj Shekhar
Ryan Beams
The editorial introduces the JMI Special Section on Augmented and Virtual Reality in Medical Imaging. © 2024 Society of Photo-Optical Instrumentation En...
Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs [0.03%]
重新训练和数据划分对胸部X线片上COVID-19分类的深度学习模型泛化能力的影响
Mena Shenouda,Heather M Whitney,Maryellen L Giger et al.
Mena Shenouda et al.
Purpose: This study aimed to investigate the impact of different model retraining schemes and data partitioning on model performance in the task of COVID-19 classification on standard chest radiographs (CXRs), in the cont...
Applications of mixed reality with medical imaging for training and clinical practice [0.03%]
医学影像混合现实技术的培训及临床应用研究
Alexa R Lauinger,Meagan McNicholas,Matthew Bramlet et al.
Alexa R Lauinger et al.
Purpose: This review summarizes the current use of extended reality (XR) including virtual reality (VR), mixed reality, and augmented reality (AR) in the medical field, ranging from medical imaging to training to preopera...
Bennett Landman
Bennett Landman
The editorial reflects on the past year, highlighting impactful research and discussing challenges. © 2024 Society of Photo-Optical Instrumentation Engi...
Multimodality model investigating the impact of brain atlases, connectivity measures, and dimensionality reduction techniques on Attention Deficit Hyperactivity Disorder diagnosis using resting state functional connectivity [0.03%]
多种模态模型研究大脑图谱、连接度测量及降维技术在注意缺陷多动障碍静息态功能连接诊断中的作用
Deepika,Meghna Sharma,Shaveta Arora
Deepika
Purpose: Various brain atlases are available to parcellate and analyze brain connections. Most traditional machine learning and deep learning studies analyzing Attention Deficit Hyperactivity Disorder (ADHD) have used eit...
Digital breast tomosynthesis system concept addressing the needs in breast cancer screening and diagnosis [0.03%]
一种用于乳腺癌筛查和诊断的数字乳腺断层合成系统概念
Marcus Radicke,Marcel Beister,Stephan Dwars et al.
Marcus Radicke et al.
Purpose: Digital breast tomosynthesis (DBT) has been introduced more than a decade ago. Studies have shown higher breast cancer detection rates and lower recall rates, and it has become an established imaging method in di...
Erratum: Publisher's Note: Augmented and virtual reality imaging for collaborative planning of structural cardiovascular interventions: a proof-of-concept and validation study [0.03%]
增刊：出版商致读者：结构心脏病介入治疗协同计划的增强和虚拟现实成像：概念与验证研究
Xander Jacquemyn,Kobe Bamps,Ruben Moermans et al.
Xander Jacquemyn et al.
[This corrects the article DOI: 10.1117/1.JMI.11.6.062606.]. © 2024 Society of Photo-Optical Instrumentation Engineers (SPIE).
Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma [0.03%]
基于CT影像的放射组学鉴别胸膜间皮瘤患者体细胞BAP1突变
Mena Shenouda,Abbas Shaikh,Ilana Deutsch et al.
Mena Shenouda et al.
Purpose: The BRCA1-associated protein 1 (BAP1) gene is of great interest because somatic (BAP1) mutations are the most common alteration associated with pleural mesothelioma (PM). Further, germline mutation of the BAP1 ge...
Pseudo-spectral angle mapping for pixel and cell classification in highly multiplexed immunofluorescence images [0.03%]
高通量免疫荧光图像的像素和单元分类的伪谱角映射方法
Madeleine S Torcasso,Junting Ai,Gabriel Casella et al.
Madeleine S Torcasso et al.
Purpose: The rapid development of highly multiplexed microscopy has enabled the study of cells embedded within their native tissue. The rich spatial data provided by these techniques have yielded exciting insights into th...