AI Hospital
Osaka University Medical Hospital has launched Artificical Intelligence Center for Medical Research and Application (AIM), which supports physicians, nurses, and all the medical staff collaborating with medical information specialists and data scientists to boost the medical application of AI in daily practices of the hospital.
We are collaborating with AIM to provide cutting-edge technologies.
Ophthalmology and AI
In ophthalmology or any other departments, vessels in retinal fundus images provide rich information on the cardiovascular system of human bodies. We proposed a state-of-the-art method, coined IterNet for extracting vessels from retinal fundus images as in the (e) in the figure below.
On top of this technology, we also invented a new method for classifying vessels into artery/vein, which takes a two-step approach: We firstly segment vessels in input images using an IterNet-based method and then classify them into artery/vein with some post-processing.
Liangzhi Li
Guest Assistant Professor
His research interests lie in deep learning, computer vision, robotics, and medical images.
Bowen Wang
Specially-Appointed Researcher/Fellow
Manisha Verma
Specially-Appointed Researcher/Fellow
Manisha’s research interest broadly lies in computer vision and image processing. Currently, she is working on micro facial expression recognition using multi-model deep learning frameworks.
Yuta Nakashima
Professor
Yuta Nakashima is a professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.
Hajime Nagahara
Professor
He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.