Prediction of the 3D shape of the L1 vertebral body from adjacent vertebrae [0.03%]
基于相邻椎体预测L1椎体的三维形状
M Sensale,T Vendeuvre,A Germaneau et al.
M Sensale et al.
The aim of treatments of vertebral fractures is the anatomical reduction to restore the physiological biomechanics of the spine and the stabilization of the fracture to allow bone healing. However, the three-dimensional shape of the fractur...
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images [0.03%]
结合三种序列的心脏磁共振图像的 myocardps：心肌病理分割基准库
Lei Li,Fuping Wu,Sihan Wang et al.
Lei Li et al.
Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on the myocardium is the key to this assessment. This work defines a new...
An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis [0.03%]
一种用于主动脉瓣狭窄的个性化心脏病学的非侵入性计算诊断框架（基于超声波）
Nikrouz Bahadormanesh,Benjamin Tomka,Mason Kadem et al.
Nikrouz Bahadormanesh et al.
Aortic stenosis (AS) is an acute and chronic cardiovascular disease and If left untreated, 50% of these patients will die within two years of developing symptoms. AS is characterized as the stiffening of the aortic valve leaflets which rest...
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration [0.03%]
基于中心线模型和非刚性配准的升主动脉根部应变计算方法研究
Ankush Aggarwal,Peter Mortensen,Jilei Hao et al.
Ankush Aggarwal et al.
Even though the central role of mechanics in the cardiovascular system is widely recognized, estimating mechanical deformation and strains in-vivo remains an ongoing practical challenge. Herein, we present a semi-automated framework to esti...
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation [0.03%]
基于伪标签自训练的局部对比损失的半监督医学图像分割方法
Krishna Chaitanya,Ertunc Erdil,Neerav Karani et al.
Krishna Chaitanya et al.
Supervised deep learning-based methods yield accurate results for medical image segmentation. However, they require large labeled datasets for this, and obtaining them is a laborious task that requires clinical expertise. Semi/self-supervis...
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction [0.03%]
无传感器自由手3D超声重建的在线学习方法
Mingyuan Luo,Xin Yang,Hongzhang Wang et al.
Mingyuan Luo et al.
Sensorless freehand 3D ultrasound (US) reconstruction based on deep networks shows promising advantages, such as large field of view, relatively high resolution, low cost, and ease of use. However, existing methods mainly consider vanilla s...
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules [0.03%]
基于梯形规则和图注意模块的将3T扩散加权磁共振图像转换到7T
Ranjeet Ranjan Jha,B V Rathish Kumar,Sudhir K Pathak et al.
Ranjeet Ranjan Jha et al.
Diffusion MRI (dMRI) is a non-invasive tool for assessing the white matter region of the brain by approximating the fiber streamlines, structural connectivity, and estimation of microstructure. This modality can yield useful information for...
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation [0.03%]
一种用于三维胰腺及胰腺病灶分割的Transformer引导渐进式融合网络方法
Taiping Qu,Xiuli Li,Xiheng Wang et al.
Taiping Qu et al.
Pancreatic masses are diverse in type, often making their clinical management challenging. This study aims to address the task of various types of pancreatic mass segmentation and detection while accurately segmenting the pancreas. Although...
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition [0.03%]
肝胆手术三元组识别基准挑战赛
Chinedu Innocent Nwoye,Deepak Alapatt,Tong Yu et al.
Chinedu Innocent Nwoye et al.
Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works recognize surgical activities at a coarse-grained level, su...
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation [0.03%]
基于自监督序列领域适应和不确定性估计的CBCT引导自适应放射治疗
Nima Ebadi,Ruiqi Li,Arun Das et al.
Nima Ebadi et al.
Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that incorporates progressive changes in patient anatomy into active plan/dose adaption during the fractionated treatment. However, the clinical application re...