医科学専攻 保健学専攻

  • Doctoral Courses 

Clinical Imaging画像診断学

  • 画像診断
  • 診断支援システム
  • イメージング
  • 数値流体力学
  • CT
  • MRI
  • 超音波
  • 機械学習
  • 人工知能
  • 深層学習



  • Ueda, TakuyaProfessor. 植田 琢也 教授

Other Faculty / Staff

  • Kobayashi, Tomoya
    Assistant Prof. 小林 智哉 助教




The Department of Diagnostic Imaging aims to create technologies that really can be applied in clinical practice, and combines medical and mathematical methods.The main research topics include AI-based diagnostic imaging research on breast and neurological diseases,and research on improving the accuracy of AI through pre-image processing of image data.A variety of people, including doctors specializing in medicine, radiological technologists specializing in image processing, and data scientists specializing in applied mathematics and AI, participate the project, which promotes a multidisciplinary approach to research.
Moreover,our department collaborates with the Tohoku University Advanced Graduate Program for Future Medicine and Health Care, where Professor Ueda serves as a facilitator. The program aims to nurture human resources who are able to find medical problems and proposes the solutions by themselves by discussing and facilitating with their professors, and to develop the skills, knowledge, and solutions necessary to achieve their goals. We are training students to become professionals of future medicine using data science and new technologies.
We accepts a variety of people interested in medical AI research, including graduate students (Ph.D. and M.D.) from the School of Medicine and Department of Health Sciences as well as medical undergraduate students, research students, corporate AI engineers, and interns from overseas, all of whom work together in research and study with an attitude of “learning together”.


  • Various AI diagnostic imaging studies for breast cancer

  • Machine learning model that predicts the prior probability of lesions from the difference in tomosynthesis imaging conditions

  • Improvement of deep learning accuracy by preprocessing of image data

  • Ueda Lab


Ueda T. CT-guided mapping in the removal of an impalpable, radiopaque foreign body in subcutaneous tissue: a case report. Journal of Wound Care.29:424-426. 2020

Ueda T. Computational Fluid Dynamics Modeling in Aortic Diseases. Cardiovasc Imaging Asia. 2:58-64. 2018

Ueda T. A geometrical characteristics study in patient-specific FSI analysis of blood flow in the thoracic aorta Advances in computational fluid structure interaction and flow simulation: New methods and challenging computations. 29: 379-386, 2016

Ueda T. Detection of Broken Sutures and Metal-Ring Fractures in AneuRx Stent-Grafts by Using Three-dimensional CT Angiography after Endovascular Abdominal Aortic Aneurysm Repair: Association with Late Endoleak Development and Device Migration. Radiology. 272: 275-83, 2014

Ueda T. A pictorial review of acute aortic syndrome: discriminating and overlapping features as revealed by ECG-gated multidetector-row CT angiography. Insights Imaging 3: 561-571; 2012