Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

Engineering, Information Science, Computer Science, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Spectral CT   Material Decomposition   Diffusion Model   Nonlinear Inverse Problem   Image Reconstruction  

Multi-Material Decomposition Research Based on Spectral Diffusion Posterior Sampling Background Introduction In the field of medical imaging, CT (Computed Tomography) technology is widely used in disease diagnosis and treatment planning. In recent years, spectral CT has become a research hotspot due to its ability to provide energy-dependent attenu...

Deep Reconstruction Framework with Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Chemical Exchange Saturation Transfer Imaging   Deep Learning   Image Reconstruction   Self-Calibration   Fast Imaging  

Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...

Heart Rate and Body Temperature Relationship in Children Admitted to PICU - A Machine Learning Approach

Information Science, Artificial Intelligence, Medicine, Pediatrics, Life Sciences, Bioengineering,
heart rate   body temperature   pediatric intensive care unit   machine learning   quantile regression  

Machine Learning Study on the Relationship Between Heart Rate and Body Temperature in Pediatric Intensive Care Units Academic Background In the pediatric intensive care unit (PICU), heart rate (HR) and body temperature (BT) are crucial clinical indicators that reflect a patient’s physiological status. Although the relationship between HR and BT has...

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Information Science, Artificial Intelligence, Medicine, Neurosurgery, Medical Imaging, Life Sciences, Bioengineering,
neuroendoscopy   3D reconstruction   self-supervised learning   feature detection   real-time navigation  

Research on Real-Time 3D Reconstruction and Navigation in Neuroendoscopy Based on Self-Supervised Learning Academic Background Neuroendoscopic surgery, as a minimally invasive surgical technique, is widely used in the treatment of deep brain lesions, such as endoscopic third ventriculostomy (ETV), choroid plexus cauterization, and cyst fenestration...

Estrogen Deficiency Alters Vascularization and Mineralization Dynamics: Insight from a Novel 3-D Humanized and Vascularized Bone Organoid Model

Medicine, Orthopedics, Endocrinology, Life Sciences, Bioengineering,
osteoporosis   vascularization   mineralization   3D model   estrogen deficiency  

The Impact of Estrogen Deficiency on Vascularization and Mineralization Dynamics—Insights from a Novel 3D Humanized and Vascularized Bone Organoid Model Academic Background Osteoporosis is a common bone disease, particularly prevalent among postmenopausal women. Osteoporosis not only manifests as a reduction in bone mass but also involves changes i...