Agenda

9:00     Welcome  – Robia Pautler, Baylor College of Medicine and
Jim Bankson, UT MD Anderson Cancer Center

Convener:  Robia Pautler, Baylor College of Medicine

9:10     Artificial  Intelligence  101 in  Medical Imaging:  Open The Door to Discover Clinically Meaningful Imaging Markers in Precision Oncology
Jia Wu, UT MD Anderson Cancer Center

9:40     Keynote
Learning Brain States from Resting State fMRI
Shella Keilholz, Georgia Tech/Emory University

10:15   Networking Break

Convener:  Jim Bankson, UT MD Anderson Cancer Center

Session 1: Featured Speakers

10:40   Translating AI’s in Pediatric Radiology
Ananth Annapragada, Baylor College of Medicine/Texas Children’s Hospital

11:00   Harnessing the Power of AI for Image Guided Cancer Therapy
Kristy Brock, UT MD Anderson Cancer Center   

 11:20   Effect of Training Size on Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis
Ponnada Narayana, UT Health Science Center Houston

11:40   Poster Data Blitz

11:50   Lunch, Networking, and Poster Presentations
Poster Presentations 12:10 – 12:50

Convener:  Robia Pautler, Baylor College of Medicine

1:20     Keynote
Deep Learning Approaches in Spectral CT
Cristian Badea, Duke University

 Convener:  Omid Veiseh, Rice University

Session 2: Featured Speakers

1:55     From Pixels to Models: An Introduction to Image Analysis with MATLAB
Brett Shoelson, Matlab

2:15     Imaging Informed Machine Learning Models for The Local Grading of Glioma
David Fuentes, UT MD Anderson Cancer Center

2:35     Machine Intelligence in Medical Imaging: Breast Cancer and COVID-19
Maryellen Giger, University of Chicago

2:55     Break

Convener: Massoud Motamedi, UT Medical Branch at Galveston

Session 3: Selected Trainee Abstracts

3:05     Clinical Applications of Convolutional Neural Networks for COVID-19 Chest X-Ray Screening
Daniel Bao, UT Medical Branch at Galveston

Computer Vision Exhibits Entropy Similar to Prostate Cancer Physicians: A Computational Observer Study
Jeremiah Sanders, UT MD Anderson Cancer Center

Using Deep Learning to Quantify Bacterial Self-organization Patterns
Jiangguo Zhang, Rice University

Convener:  Jim Bankson, UT MD Anderson Cancer Center

Session 4: Rapid Fire Talks

3:45     Rapid Fire Talks

4:30     Virtual Networking