Cardiac MRI T2 mapping with heart phase acquisition and improved motion-sensitized driven equilibrium blood suppression [0.03%]
具有心相位采集和改进的运动敏感驱动血液抑制的 cardiac mri t2 映射
Ebtihal Raheem Hammood,Shapoor Shirani,Sahar Asl Fallah et al.
Ebtihal Raheem Hammood et al.
Background: Cardiovascular magnetic resonance (CMR) imaging relies on T2 mapping to assess myocardial tissue properties. However, T2 maps are subject to motion artifacts and signal interference, prompting exploration of t...
Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease [0.03%]
基于深度学习的肝囊肿MRI分割在常染色体显性多囊肾病中的应用
Mina Chookhachizadeh Moghadam,Mohit Aspal,Xinzi He et al.
Mina Chookhachizadeh Moghadam et al.
Background: Autosomal dominant polycystic kidney disease (ADPKD) can lead to polycystic liver disease (PLD), characterized by liver cysts. Although majority of the patients are asymptomatic, massively enlarged liver secon...
Atrial anatomical variations on computed tomography angiography associated with atrial fibrillation and those predicting recurrence following pulmonary vein isolation [0.03%]
与心房颤动相关的计算机断层扫描血管造影下左心房解剖变异及隔离肺静脉术后复发的预测因素
Rami M Abazid,Osama Smettie,Jonathan G Romsa et al.
Rami M Abazid et al.
Background: We aim to investigate the atrial anatomical variations in patients with and without atrial fibrillation (AF) using cardiac-computed tomography angiography (CCTA) and identify features associated with AF recurr...
MRAnnotator: multi-anatomy and many-sequence MRI segmentation of 44 structures [0.03%]
MRAnnotator：多解剖结构和多种序列的MRI图像自动分割工具（44种结构）
Alexander Zhou,Zelong Liu,Andrew Tieu et al.
Alexander Zhou et al.
Purpose: To develop a deep learning model for multi-anatomy segmentation of diverse anatomic structures on MRI. Materials and methods: ...
Reply to the letter to editor titled "mentoring program: bridging gaps for international authors" [0.03%]
关于题为“导师项目：帮助国际作者搭建桥梁”的来信的回复
Haidara Almansour,Vivianne Aguilera Freitas,Niraj Nirmal Pandey
Haidara Almansour
Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic population [0.03%]
在无症状人群中通过人工智能软件对胸部X光片进行肺癌筛查以发现意想不到的肺癌结果研究
Taehee Kim,Heejun Shin,Yong Sub Song et al.
Taehee Kim et al.
Background: Detecting clinically unsuspected lung cancer on chest radiographs is challenging. Artificial intelligence (AI) software that performs comparably to radiologists may serve as a useful tool. ...
Echoes of eco-radiology [0.03%]
回声中的生态放射学
Suyash Pradip Gunjal
Suyash Pradip Gunjal
Fetal MRI deep learning segmentation of body and lung in congenital diaphragmatic hernia [0.03%]
膈疝胎儿MRI深学习体部和肺脏分割
Leon M Bischoff,Sebastian Nowak,Maximilian Mader et al.
Leon M Bischoff et al.
Purpose: To determine if deep learning (DL) segmentation of total fetal body volume (TFBV) and total fetal lung volume (TFLV) in fetuses with congenital diaphragmatic hernia has comparable performance to manual segmentati...
Susanna I Lee
Susanna I Lee
Artificial intelligence model for automatic 3-dimensional reconstruction of ossicular chain and bony labyrinth from high-resolution CT [0.03%]
基于高分辨率CT的听小骨链和骨迷路自动三维重建人工智能模型
Mingwei Xie,Haonan Wang,Zehong Yang et al.
Mingwei Xie et al.
Background: Three-dimensional (3D) reconstruction of ossicular chain and bony labyrinth based on temporal bone high-resolution CT (HRCT) is useful for diagnosis and treatment guidance of middle and inner ear diseases. How...