About
Nguyen Phuong Dang is a Medical Physics Resident at the University of Southern California, Keck School of Medicine in Los Angeles, California. He received his Ph.D. in High Energy Physics from the University of Freiburg, Germany, and his Certificate in Medical Physics from the Medical College of Wisconsin.
Dr. Dang's interested in developing innovative software solutions and artificial intelligence applications for clinical radiation oncology workflows. His clinical expertise encompasses machine and patient quality assurances, treatment planning with Eclipse, and advanced Monte Carlo simulations for various radiotherapy devices including linear accelerators and gamma knife systems.
Education
Membership & Certification
Professional Experience
- Deep learning based automatic contour quality assurance for auto-segmentation of abdominal organs
- Automated brain metastasis detection and segmentation using deep-learning method
- Real-time treatment delivery verification and root cause error analysis via cine transmission measurements with an EPID
- Measurements of the Higgs-boson production and decay at the LHC
- Advanced Physics Lab I & II
- Experimental Physics I, II & III
Clinical Skills
Treatment Techniques
- External: 2D/3D, IMRT/VMAT, IGRT (with CBCT/OBI, 4DCT), BgRT, SBRT/SRS
- Brachytherapy: HDR (GYN, Cylinder, Prostate), Eye Plaque, GammaTile
- Other Special Procedures: TBI, TSEI
Projects
- Commissioning Reflexion X1 machine at USC Newport Beach Oncology Clinic Center
- Commissioning Reflexion X1 machine at Pasadena Medical Office Building
- Commissioning Varian Bravos system at USC Norris Cancer Hospital
- Radiation safety survey at USC Newport Beach Oncology Clinic Center
Machines & Equipments
- External Treatment: Varian (Trilogy, TrueBeam, ProBeam), Elekta (Infinity, Versa HD), Reflexion (X1)
- Brachytherapy: Varian (VariSource iX, Bravos)
- CT Scanners: Siemens (SOMATOM), Philips (Brilliance)
- QA Devices: IC Profiler, MapCheck, MatriXX, DailyQA, PTW Watertanks, ArcCheck, EPID, CatPhan, Gafchromic film
- In-vivo: MOSFET, OSLD, TLD, Gafchromic film
Clinical Software
- Oncology Information: Aria, Mosaiq
- Treatment Planning: Eclipse, Monaco, BrachyVision
- Imaging: Velocity, MIM
Other Equipments
- Particle detectors: ionization and wire chambers, HPGe, scintillators
- Hardwares: NIM modules
Computing Skills
Programming
- Languages: C++/C#, Python, Fortran, Matlab, Mathematica
- Database: XML, JSON, SQL
- Version Control: GIT, SVN
Computing
- Simulation: MCNP, GEANT4
- Distributed computing: MPI, OpenMP, WLCG
Web Development
- Languagues: HTML, CSS, Javascript
- Libraries: Flask
Machine & Deep Learning
- Libraries: Tensorflow, PyTorch
- Models: CNN, U-net, V-net, decision tree
Radiation Oncology
HEP and Nuclear Physics
Clinical Projects
TLD Glow-Curve Deconvolution
A web-based application for TLD glow-curve deconvolution analysis and processing.
Visit Project →QA Device Reader
A tool to read and analyze outputs from QA device softwares, such as IC profiler, MapCheck, etc. (Under development)
Visit Project →DVH Analysis
A website to read RT plan and dose, calculate DVH, constrain checks, radiobiological model values (e.g. TCP, NTCP,...) (Under development)
Visit Project →DICOM Augmentation Tool
A tool to augment DICOM image and contour datasets for machine learning applications in medical imaging.
Visit Project →Contact
University of Southern California
1441 Eastlake Ave, Los Angeles, CA 90089