Titlebook: Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for; 10th Workshop, CLIP Cristina Oyarzun

External-Otitis

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书目名称Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for影响因子(影响力)学科排名




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书目名称Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for网络公开度学科排名




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书目名称Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for读者反馈学科排名

使成整体

Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Pl-specific anatomy that accurately characterizes all tissue properties. This study presents a method to automatically generate patient-specific, FE meshes containing volumetric soft tissues, such as ligaments and cartilage, that are inconspicuous in computed tomography (CT) imaging of AIS patients. C

thwart

Bayesian Graph Neural Networks for EEG-Based Emotion Recognition is the most important one for emotion recognition due to its high temporal resolution. The progress in geometric deep learning provide powerful tool to explore the spatial features between EEG channels. There have been some studies using Graph-based methods, but neither do they reveal the latent st

神圣在玷污

AFFIX

Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes dilated pancreatic duct from CT taken from patients without PDAC shows the potential to assist the early detection of PDAC. Most current researches include pancreatic duct segmentation as one additional class for patients who have already detected PDAC. However, the dilated pancreatic duct for peop

WAIL

WAIL

Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Experove its segmentation performance. A convolutional neural network (CNN) for segmenting organs at risk for head & neck cancer was implemented in clinical practice and its predicted contours were verified, corrected and approved by the radiation oncologists before being used for treatment planning. A s

Rodent

TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Jointg from this disease before advanced degradation of the bone, we developed a diagnostic tool called TMJOAI. This machine learning based algorithm is capable of classifying the health status TMJ in of patients using 52 clinical, biological and jaw condyle radiomic markers. The TMJOAI includes three pa

精确

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertaintyny infected patients and deaths. CT image-based diagnosis of COVID-19 can provide quick and accurate diagnosis results. An automated segmentation method of infection regions in the lung provides a quantitative criterion for diagnosis. Previous methods employ whole 2D image or 3D volume-based process

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Multi-task Federated Learning for Heterogeneous Pancreas Segmentationf labels represented in their data. For example, one client might have patient data with “healthy” pancreases only while datasets from other clients may contain cases with pancreatic tumors. The vanilla federated averaging algorithm makes it possible to obtain more generalizable deep learning-based