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Applied Artificial Intelligence Research Core

	Prof. Kenji SUZUKI
	Room: R2	Mail-Box: R2-58
	TEL: 045-924-5496
	E-mail: info(at)bmai.iir.titech.ac.jp Please replace “(at)”with “@”.
	HomePage: http://www.bmai.iir.titech.ac.jp/

Research Field　Deep learning, Machine learning, Artificial Intelligence (AI), AI-aided Diagnosis, Biomedical Image Understanding, Biomedical Image Processing.
Objective　To develop computational intelligence that learns, from image examples, physicians’ skills and knowledge in interpreting images to help make smart decisions in biomedicine.
Current Topics
・Small-Data Deep Learning: Development of deep learning models that can be trained with a small number of samples.
・AI Doctor: Development of intelligent computer-aided systems that assist physicians in early detection, accurate diagnosis, effective treatment, and better prognosis of diseases.
・Virtual AI Imaging: Development of deep-learning technologies that learn to virtually acquire physical phenomena and functions in imaging.

Image-Regression Deep Learning for Estimating Likelihood of Being Lung Cancer in CT

Virtual AI Imaging Technology to Remove Bone Components in Chest Radiographs

	Asst. Prof. Jin ZE
	Room: R2	Mail-Box: R2-58
	TEL: 045-924-5303
	E-mail: jin.z.ab(at)m.titech.ac.jp Please replace”(at)” with “@”.
	HomePage: http://www.bmai.iir.titech.ac.jp/

Current Topics
・Development of a deep learning model dedicated to medical imaging
・Developments of deep-earning based
computer-aided diagnosis (CAD) for medical images
・Deep-learning based quality improving method for low dose
image