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Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The… read more

Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy.
Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy. 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Future space exploration missions will expose astronauts to various stressors, making the early detection of mental stress crucial for prolonged missions. Our study proposes using functional near infrared spectroscopy (fNIRS)… read more

An Integrated Framework for Infectious Disease Control Using Mathematical Modelling and Deep Learning
An Integrated Framework for Infectious Disease Control Using Mathematical Modelling and Deep Learning 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Infectious diseases are a major global public health concern. Precise modelling and prediction methods are essential to develop effective strategies for disease control. However, data imbalance and the presence of… read more

Optimized Whole-Slide-Image H&e Stain Normalization: A Step Towards Big Data Integration in Digital Pathology
Optimized Whole-Slide-Image H&e Stain Normalization: A Step Towards Big Data Integration in Digital Pathology 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
In the medical diagnostics domain, pathology and histology are pivotal for the precise identification of diseases. Digital histopathology, enhanced by automation, facilitates the efficient analysis of massive amount of biopsy… read more
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