A5101430061- Radiomics and Machine Learning in Medical Imaging
- Transplantation: Methods and Outcomes
- Endometrial and Cervical Cancer Treatments
- MRI in cancer diagnosis
- Advanced Radiotherapy Techniques
- Innovations in Concrete and Construction Materials
- BIM and Construction Integration
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Microbial infections and disease research
- Gastrointestinal disorders and treatments
- SARS-CoV-2 and COVID-19 Research
- Hematopoietic Stem Cell Transplantation
- Cystic Fibrosis Research Advances
- Additive Manufacturing and 3D Printing Technologies
- Lung Cancer Diagnosis and Treatment
- Cardiac Ischemia and Reperfusion
- Immune Response and Inflammation
- Renal Transplantation Outcomes and Treatments
- COVID-19 Clinical Research Studies
- Organ Transplantation Techniques and Outcomes
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Cytomegalovirus and herpesvirus research
- 3D Surveying and Cultural Heritage
Washington University in St. Louis
2008-2024
ORCID
2020
Three-dimensional (3D) printing technology is increasingly playing an essential role in the customization of prefabricated buildings. To demonstrate its high-quality, cost, and time-saving advantages, this paper first presents a technical analysis formwork-making using 3D printing. Then, we compare to two conventional methods manual wood computer numerical control (CNC) foam demonstration house with curved walls specially designed constructed these three methods. We concluded from our...
The escalating demand for free-form buildings presents a formidable technological hurdle in the realm of prefabrication manufacturing and assembly. This research draws inspiration from recent advancements large language models (LLMs) seeks to harness their transformative potential tandem with Building Information Modeling (BIM) advance Design Manufacture Assembly (DfMA) method. ultimate aim is catapult industry into an era characterized by unparalleled design freedom heightened efficiency....
Purpose: This work systematically evaluates the effect of source‐to‐background ratio, tumor size, scan duration, and smoothing filter on a novel two‐stage PET segmentation method in phantoms. The uses an adaptive region‐growing algorithm dual‐front active contour model, resulting advantages reproducibility no need choosing threshold. Method Materials: Six spherical phantoms (0.5 – 20 mL) warm cylindrical container were scanned for 120 minutes PET/CT scanner. (S/B) ratio ranges from 16 to...
Purpose: To describe a prospective validation study that reconstructs 3D pathology tumor volume from the surgically excised and registers it with in vivo PET/CT/MRI images. This will provide gold standard for evaluating accuracy of segmentation methods. Method Materials: We design protocol collects images spatially registered surgical data patients head-and-neck cancer. A is reconstructed fixed, sectioned pathologically marked specimen. The challenging task registering implemented by...
Purpose: 3D image registration is a key component in image‐guided adaptive radiotherapy. It imperative that the accuracy of method assured prior to clinical implementation. However, validation scarcely covered literature. In this work, we validated and compared seven methods for CT/MRI MRI/MRI fusion radiotherapy treatment planning head‐and‐neck tumors. Method Materials: A CT an MRI were acquired before weekly MRIs during IMRT head‐and neck cancer treatment. Seven including intensity‐based,...