The Program

Tentative Schedule

Remarks from Dr. Christine Jacobs, Dean of School of Medicine, SLU

Guest Speaker

Ulugbek S. Kamilov - CSE, ESE, Washington University of Saint Louis 

"Computational Biomedical Imaging: Increasing Image Quality using Deep Learning"

Abstract: 

Imaging inverse problems consider the recovery of a clean image from its corrupted observation. Such problems are common across biomedical imaging. As imaging inverse problems are typically ill-posed, solving them requires the use of image priors. While many approaches have been proposed for implementing image priors, the current literature is primarily focused on methods based on training deep learning (DL) models to map noisy observations to clean images. In this talk, we discuss how DL models pre-trained as image denoisers can be used to address a variety of inverse problems in biomedical imaging. We will discuss applications in accelerated magnetic resonance imaging, image generation in limited angle computed tomography (CT), and recovery of continuously represented microscopy images.

Lightning Talks - Afternoon Session (12-15 minutes per talk)

Jie Hou, CS - Bioinformatics, SLU

"AI and Big Data Analytics in Healthcare Data."

David Yourgrau, COO, Stack Education

"Levering AI to Empower the Clinical Trials Workforce"

Madi Babaiasl, Aerospace & Mechanical Engineering, SLU

"Using NLP and Robotics in Healthcare: Assisting Individuals with Limited Mobility"

Bilgehan Akdemir, EIE, University of Oulu, Finland

"AI-based CBCT image reconstruction on distributed edge computing platforms"

Vasilapostolos Ouranis, COO, Magos, Grece

"Haptic Wearables, VR, and AI, to Improve Medical Training"