Ze Jin

Profile
2015-2016 JSPS Doctoral fellow, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Japan
2016-2018 Postdoctoral scholar, Medical Image Processing Group, Department of Radiology, University of Pennsylvania, USA
2018-       Assistant Professor(Specially Appointed) , Tokyo Institute of Technology

Field of Specialization
Medical image processing, computer-aided diagnosis, artificial intelligence

Laboratory for Future Interdisciplinary Research of Science and Technology(IIR, Tokyo Tech)

jin.z.ab@m.titech.ac.jp

Research Hub Group:Information and Artificial Intelligence Research International Hub Group

Research Highlights

  • 2014: Development of a Delineation Method of Lung Tumor Regions in Treatment Planning CT Images Using an Optimum Contour Selection Method

  • 2016: An ellipsoid convex enhancement filter for detection of asymptomatic intracranial aneurysm candidates in CAD frameworks

Selected Awards

  • Apr. 14, 2013:English Presentation Award at the 105th Scientific Meeting of the Japan Society of Medical Physics (JSMP)

Selected Publications

  • Jin Z, Arimura H, Kakeda S, Yamashita F, Sasaki M, and Korogi Y. An ellipsoid convex enhancement filter for detection of asymptomatic intracranial aneurysm candidates in CAD frameworks. Medical physics, 43(2), 951-960, 2016. (Impact factor: 2.617)
  • Jin Z, Arimura H, Shioyama Y, et al. Computer-Assisted Delineation of Lung Tumor Regions in Treatment Planning CT Images with PET/CT Image Sets Based on an Optimum Contour Selection Method. Journal of Radiation Research. 55(6), 1153-62, 2014. (Impact factor: 2.031)
  • Ikushima K, Arimura H, Jin Z, et al. Computer-assisted framework for machine-learning–based delineation of GTV regions on datasets of planning CT and PET/CT images. Journal of Radiation Research, 58(1), 123-134, 2016. (Impact factor: 2.031)
  • Kawata Y, Arimura H, Ikushima K, Jin Z, et al. Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy. Physica Medica, 42, 141-149, 2017. (Impact factor: 2.240)