A systematic review of graph neural network in healthcare-based applications: Recent advances, trends, and future directions
Graph neural network (GNN) is a formidable deep learning framework that enables the
analysis and modeling of intricate relationships present in data structured as graphs. In …
analysis and modeling of intricate relationships present in data structured as graphs. In …
Multi-site, multi-domain airway tree modeling
Open international challenges are becoming the de facto standard for assessing computer
vision and image analysis algorithms. In recent years, new methods have extended the …
vision and image analysis algorithms. In recent years, new methods have extended the …
[HTML][HTML] Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
Pulmonary diseases rank prominently among the principal causes of death worldwide.
Curing them will require, among other things, a better understanding of the complex 3D tree …
Curing them will require, among other things, a better understanding of the complex 3D tree …
Multi-site, multi-domain airway tree modeling (ATM'22): a public benchmark for pulmonary airway segmentation
Open international challenges are becoming the de facto standard for assessing computer
vision and image analysis algorithms. In recent years, new methods have extended the …
vision and image analysis algorithms. In recent years, new methods have extended the …
PO-GNN: Position-observant inductive graph neural networks for position-based prediction
Most graph neural networks (GNNs) map local neighborhood information into node
embeddings but lack positional information. It results in similar node embeddings for nodes …
embeddings but lack positional information. It results in similar node embeddings for nodes …
BranchLabelNet: Anatomical Human Airway Labeling Approach using a Dividing-and-Grouping Multi-Label Classification
Anatomical airway labeling is crucial for precisely identifying airways displaying symptoms
such as constriction, increased wall thickness, and modified branching patterns, facilitating …
such as constriction, increased wall thickness, and modified branching patterns, facilitating …
Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks
Pulmonary diseases rank prominently among the principal causes of death worldwide.
Curing them will require, among other things, a better understanding of the many complex …
Curing them will require, among other things, a better understanding of the many complex …
Graph convolutional networks for automated intracranial artery labeling
Purpose Unruptured intracranial aneurysms (UIAs) can cause aneurysmal subarachnoid
hemorrhage, a severe and often lethal type of stroke. Automated labeling of intracranial …
hemorrhage, a severe and often lethal type of stroke. Automated labeling of intracranial …
Robust Airway Generation Labeling with Airway Segmentation for Reliable Airway Assessment
M Song, J An, KR Park, J Lee, J Park, JU Kim - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to accurately classify the airways in the human respiratory system, which are
characterized by diverse pattern forming a complex tree-like structure. Although recent …
characterized by diverse pattern forming a complex tree-like structure. Although recent …
PANS: Probabilistic Airway Navigation System for Real-Time Robust Bronchoscope Localization
Q Tian, Z Chen, H Liao, X Huang, B Yang, L Li… - … Conference on Medical …, 2024 - Springer
Accurate bronchoscope localization is essential for pulmonary interventions, by providing six
degrees of freedom (DOF) in airway navigation. However, the robustness of current vision …
degrees of freedom (DOF) in airway navigation. However, the robustness of current vision …