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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] Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images
Extracting the cerebral anterior vessel tree of patients with an intracranial large vessel
occlusion (LVO) is relevant to investigate potential biomarkers that can contribute to …
occlusion (LVO) is relevant to investigate potential biomarkers that can contribute to …
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 …
Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake
The segmentation of cardiovascular arteries in 3D medical images holds significant promise
for assessing vascular health. Despite the progress in current methodologies, there remain …
for assessing vascular health. Despite the progress in current methodologies, there remain …
Edge morphology attention mechanism and optimal geometric matching connection model for vascular segmentation
Y Zhu, Y Qiao, Q Zhou, X Yang - Biomedical Signal Processing and Control, 2025 - Elsevier
Over the past decades, medical image segmentation methods have been intensively
developed, but there are still a number of unsolved challenging problems in vascular image …
developed, but there are still a number of unsolved challenging problems in vascular image …
Modeling and hexahedral meshing of cerebral arterial networks from centerlines
Computational fluid dynamics (CFD) simulation provides valuable information on blood flow
from the vascular geometry. However, it requires extracting precise models of arteries from …
from the vascular geometry. However, it requires extracting precise models of arteries from …
Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking
Tubular structures with tree topology such as blood vessels, lung airways, and more are
abundant in human anatomy. Tracking these structures with correct topology is crucial for …
abundant in human anatomy. Tracking these structures with correct topology is crucial for …
Morphology Edge Attention Network and Optimal Geometric Matching Connection model for vascular segmentation
Y Zhu, Y Qiao, X Yang - arxiv preprint arxiv:2306.01808, 2023 - arxiv.org
There are many unsolved problems in vascular image segmentation, including vascular
structural connectivity, scarce branches and missing small vessels. Obtaining vessels that …
structural connectivity, scarce branches and missing small vessels. Obtaining vessels that …
Unsupervised Losses for Clustering and Segmentation of Images: Theories & Optimization Algorithms
Z Zhang - 2024 - uwspace.uwaterloo.ca
Unsupervised losses are common for tasks with limited human annotations. In clustering,
they are used to group data without any labels. In semi-supervised or weakly-supervised …
they are used to group data without any labels. In semi-supervised or weakly-supervised …
[PDF][PDF] Development and Assessment of Learning-based Vessel Biomarkers from CTA in Ischemic Stroke
J Su - 2023 - core.ac.uk
This research was funded by the Dutch Heart Foundation (CVON2015-01: CONTRAST), and
from the Brain Foundation Netherlands (HA2015. 01.06). The collaboration project is …
from the Brain Foundation Netherlands (HA2015. 01.06). The collaboration project is …