Hung Chu

Hung Chu is an active researcher contributing to interdisciplinary fields at the intersection of medical imaging, radiation oncology, and machine learning. His work focuses on developing predictive models for radiation therapy complications in head and neck cancer patients, while also exploring machine learning applications in pediatric pulmonary hypertension and multimorbidity healthcare utilization.

• Developed deep learning NTCP models for dysphagia and xerostomia prediction in radiotherapy patients
• Validated international cohorts for radiation toxicity modeling
• Applied machine learning to cardiac MRI analysis for pulmonary hemodynamics
• Created predictive models for healthcare utilization in multimorbidity patients

His research spans multiple disciplines including medical imaging analysis, clinical decision support systems, and healthcare informatics. Recent publications demonstrate expertise in 3D dose modeling, radiomics, and transfer learning applications in medicine.

Collaborations include international institutions and multidisciplinary teams across radiation oncology, cardiology, and healthcare management. While no specific awards are mentioned, the open-access nature of publications indicates strong academic engagement.