January 08, 2020: Seminar by Prof. Kannappan Palaniappan, University of Missouri-Columbia

Deep Learning for Curvilinear Vascular Structure Segmentation
Prof. Kannappan Palaniappan
Electrical Engineering and Computer Science
University of Missouri-Columbia
Web:  https://engineering.missouri.edu/faculty/kannappan-palaniappan/

Date: Wednesday, January 08, 2020

Time: 3:00-4:00 PM

Venue: Seminar Room,
            Electronics and Communication Sciences Unit
            9th Floor, S. N. Bose Bhavan (Library Building)


Automatic segmentation and quantification of blood vessels is important to characterize changes in flow dynamics during vascular network remodeling in various tissues. Veins are very much understudied with respect to arteries, mainly due to the difficulty of collecting data and imagery, despite the fact that they play a crucial role in maintaining tissue perfusion and homeostasis. This talk will describe a range of traditional and deep learning based image analysis methods for characterizing both arterioles and venules as well as extensions for studying lymphatics making an important contribution to the field. Patient specific approaches to vascular analysis can improve the diagnosis and treatment of chronic conditions such as glaucoma, hypertension, diabetes or estrogen deprivation. Changing response state of the vasculature to different physiological conditions can be extracted from biomedical imagery for quantitative research opening new research directions in precision medicine..

Bio: Kannappan Palaniappan is a Professor of Electrical Engineering and Computer Science at the Univ. of Missouri-Columbia. He directs the Center for Computational Imaging and VisAnalysis (CIVA) leading research at the synergistic intersection of image and video analytics, deep learning, computer vision, high performance computing, artificial intelligence and machine learning to understand, quantify and model physical processes with applications to biomedical, space and remote sensing. Recent multidisciplinary contributions range across orders of scale from sub-cellular microscopy at the molecular level to aerial and satellite remote sensing imaging at the macro level. His research has been funded by the US National Institutes of Health, NASA, National Science Foundation, DoD and others. His current interests include video object tracking, 3D computer vision, multicore image processing, neuroimaging and microscopy image analysis. He has received several notable awards including the NASA Public Service Medal for pioneering contributions to petabyte-sized scientific visualization (Interactive Image SpreadSheet and BlueMarble global mosaic), the Air Force Summer Faculty Fellowship, the Boeing Welliver Summer Faculty Fellowship, the William T. Kemper Fellowship for Teaching Excellence the highest teaching award at the U. Missouri, and the National Academy of Sciences Jefferson Science Fellowship.

All are cordially invited.

Dipti Prasad Mukherjee

Head, Electronics and Communication Sciences Unit