Our work “Selecting Predictive Genomic Biomarkers for Oropharyngeal Cancer Treatment Prediction by use of Advanced Machine Learning Method” has been selected as the Winner of The Jack Krohmer Junior Investigator Competition at AAPM Annual Meeting 2018. Read full article >>
Our work “Deep Boltzmann Machines-Driven Level Set Method for Heart Motion tracking Using Cine MRI” has been selected as an oral presentation in the “Science Council Session” with topic of “Big Data, Deep Learning, and AI in Imaging and Radiation Oncology” at AAPM Annual Meeting 2017.
Our work “Deep Boltzmann Machines-Driven Method for In-Treatment Heart Motion Tracking Using Cine MRI” has been selected as an Oral presentation (<10% acceptance rate) at International Society for Magnetic Resonance in Medicine (ISMRM) 25th Annual Meeting, 2017.
The work “Evaluation of the Use of Direct Electron Density CT Images in Radiation Therapy” with Dr. Li as one of co-authors has been selected as the “Best in Physics” at AAPM Annual Meeting, 2016.
Our work “Cancer Therapy Outcome Prediction Based On Dempster-Shafer Theory and PET Imaging” has been selected into the “Finalist for the John R. Cameron Young Investigator competition” at AAPM Annual Meeting, 2015.
Our work “An Integrated Model-Based Intrafractional Motion Tracking Approach With Dynamic MRI In Head And Neck Radiotherapy” has been selected as the “Best in Physics” at AAPM Annual Meeting, 2015.
Our work “A Supervised Framework for Automatic Contour Assessment for Radiotherapy Planning of Head-Neck Cancer” has been selected as the “Best in Physics” at AAPM Annual Meeting, 2014.
Our work “Experimental Thorax Phantom Study of a Novel Automatic kV Selection Strategy for Radiation Dose Reduction in CT” wins The “Trainee Research Prize” at RSNA 2009.