My research interests include medical imaging and medical image analysis. I am interested in developing algorithms for these problems and analyzing and predicting the properties of these algorithms. My group works on a wide variety of 3D CT image processing algorithms for developing computer-aided detection and diagnosis to support lung cancer detection, differential diagnosis, and prediction of malignancy and prognosis. Recent research topics are as follows.

1. Analysis of lung microstructures using synchrotron radiation CT: This project aims to analyze the mechanism of lung growth and the onset and progression of lung diseases using SRCT images (voxel size: 3μm) measured at SPring-8.
2. Explainable AI-based computer-aided diagnosis (CADx) of lung cancer in 3-D CT images: This project aims to explore reproducible quantitative analysis algorithms of lung cancer and lymph node in CT images and radiogenomics analysis integrating SNP and link them to pathological meanings for providing a more straightforward interpretation of the decision process of cancer prediction and prognostic prediction.