MedLSAM: Localize and segment anything model for 3D CT images
Recent advancements in foundation models have shown significant potential in medical
image analysis. However, there is still a gap in models specifically designed for medical …
image analysis. However, there is still a gap in models specifically designed for medical …
An efficient muscle segmentation method via bayesian fusion of probabilistic shape modeling and deep edge detection
Objective: Paraspinal muscle segmentation and reconstruction from MR images are critical
to implement quantitative assessment of chronic and recurrent low back pains. Due to …
to implement quantitative assessment of chronic and recurrent low back pains. Due to …
[HTML][HTML] UniverDetect: Universal landmark detection method for multidomain X-ray images
Landmark detection using X-ray imaging is vital for disease screening, treatment, and
prognosis. It provides a framework for subsequent tasks, including segmentation …
prognosis. It provides a framework for subsequent tasks, including segmentation …
Anatomical Landmark Detection in 3d MRI Scan using Deep Neuro-Dynamic Programming
Automatic and precise biometric measures are crucial for diagnosis and supporting
important decisions in medical imaging. For several applications of medical image analysis …
important decisions in medical imaging. For several applications of medical image analysis …
Personalized topology-informed 12-lead ECG electrode localization from incomplete cardiac MRIs for efficient cardiac digital twins
Cardiac digital twins (CDTs) offer personalized\textit {in-silico} cardiac representations for
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data
Existing landmark detection methods are primarily designed for centralized learning
scenarios where all training data and labels are complete and available throughout the …
scenarios where all training data and labels are complete and available throughout the …
Multi-Agents System in Healthcare: A Systematic Literature Review
R Elkamouchi, A Daaif, K Elguemmat - International Conference on Smart …, 2024 - Springer
In the realm of healthcare, Multi-Agent Systems (MAS) have emerged as a promising
technological framework, offering potential solutions to intricate challenges. This systematic …
technological framework, offering potential solutions to intricate challenges. This systematic …