Medical Imaging Process
Process Dicom data and generate masks for training using UNet algorithms.
Wenbin Guo works as an Industrial Engineer in the AI/QI Incubator in the College of Medicine Quality and Patient Safety (QPSi) at the University of Florida (UF). His expertise lies in combining ISE methods with innovative AI tools to advance the science and practice of patient safety. Wenbin collaborates with teams to develop and implement new programs that focus on predicting and preventing adverse events and integrating systems in healthcare. He has also worked as a Postdoc Associate at UF and developed novel AI applications for biomedical image processing of micro-ultrasound images using UF HiPerGator. The AI model demonstrated reliable prostate segmentation performance measured by quantitative metrics. Additionally, he worked with an interdisciplinary team to automate human motion analysis and annotation (Laban) using AI through deep learning algorithms applied to existing datasets of human motion videos and skeletal sequences.
Python (numpy, pandas)
Machine Learning (Tensorflow, Keras, PyTorch, Scikit-learn, Detectron2, MediaPipe)
Statistical Analysis (ANOVA, Mann–Whitney U test)
Data Visualization (Seaborn)
VR/AR (HoloLens, Unity)
Web Design (AWS, Linux, ReactJS, Bootstrap)