SEMINAR

DEPARTMENT OF MECHANICAL ENGINEERING

AI Powered Medical Imaging: from reconstruction to analytics

Prof. Pingkun Yan

Department of Biomedical Engineering, Rensselaer Polytechnic Institute

Abstract

With the recent AI renaissance, especially its subspecies deep learning, the landscape of medical imaging has completely changed. Paradigm shifting innovations have been made in the field of medical imaging, from reconstruction, to analysis, and image understanding. In this talk, recent technological advances in this important domain will be presented and discussed. The series of work demonstrate how deep learning is adapted to improve the performance of existing applications and even enabling new medical researches. In the same time, this talk will illustrate how to create meaningful innovations using new machine learning techniques by deeply integrating domain knowledge. The presented case studies include low-dose CT image denoising, ultra-fast optical image reconstruction, medical imaging segmentation & registration, and image-based mortality prediction. Finally, the research trend of deep medical imaging and analytics will be briefly discussed.

Biography 

Dr. Pingkun Yan is an Assistant Professor at the Department of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI). He obtained his Ph.D. from National University of Singapore. His research interests include medical imaging informatics and image-guided intervention using machine learning and computer vision techniques. Dr. Yan has published over 90 peer reviewed articles in well recognized journals including IEEE TMI, MedIA, Light: S&A, IEEE JBHI, IEEE TBME, IEEE TCBY, Medical Physics, and top international conferences including MICCAI, ICCV, CVPR. His publications have been cited for more than 4,090 times with H-index of 31. His research work has also been recognized by a number of awards including MICCAI best paper award and IJCARS-MICCAI best paper award. He is currently serving as an associate editor of multiple international journals, including Machine Vision and Applications and Neurocomputing. He co-organized six international workshops and four international journal special issues, and have served as a program committee member for more than 40 international conferences. He is a senior member of IEEE.