Congratulations to Kyle Lafata, PhD Candidate (Advisor: Dr. FF Yin), on receiving the Duke Cancer Institute Poster award at the Radiation Oncology and Imaging Program Annual Retreat for the research titled “Deep Learning of Pulmonary Function from CT Images using Radiomic Filtering”. This is a collaboration project between Duke Radiation Oncology and the Department of Mathematics. The study aims to develop a novel method for CT ventilation imaging based on radiomic filtering and deep convolutional neural networks (CNNs). Radiomic features are generalized as image filters, and interpreted as the first convolutional layer of a novel deep CNN. The other authors are: Jing Cai, Jian-Guo Liu (Mathematics and Physics), Kolby Sidhu (Radiation Oncology), and Fang-Fang Yin.
