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All 2019 SS presentations

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MO-A-GrandMapleBa Keynote: Future of Imaging
Keynote: Future of Imaging
Presented by Robert Jeraj, University of Wisconsin
This presentation has an average satisfaction 4.6 (higher is better), with 9 responding
VLID: 13357


MO-B-GrandMapleBa Mathematics of Imaging / Informatics and Assessment
Mathematics of Imaging
Presented by Samuel Armato, The University of Chicago
This presentation has an average satisfaction 4.9 (higher is better), with 7 responding
VLID: 13359


MO-B-GrandMapleBa Mathematics of Imaging / Informatics and Assessment
Basic Informatics
Presented by William Sensakovic, Mayo Clinc
This presentation has an average satisfaction 4.8 (higher is better), with 4 responding
VLID: 13360


MO-B-GrandMapleBa Mathematics of Imaging / Informatics and Assessment
Methods of Assessment
Presented by Ingrid Reiser, The University of Chicago
This presentation has an average satisfaction 4.3 (higher is better), with 3 responding
VLID: 13361


MO-C-GrandMapleBa Introduction to Machine Learning II
Hands-on Lab: Traditional Machine Learning
Presented by Joyita Dutta, University of Massachusetts Lowell
This presentation has an average satisfaction 4.5 (higher is better), with 2 responding
VLID: 13363


MO-D-GrandMapleBa Introduction to Deep/Convolutional Networks
Introduction to Deep/Convolutional Networks
Presented by Ulas Bagci, University of Central Florida
This presentation has an average satisfaction 3.7 (higher is better), with 7 responding
VLID: 13355


TU-A-GrandMapleBa Enhancement/Restoration/Pre-Processing
Traditional Methods
Presented by Patrick La Riviere,
This presentation has an average satisfaction 3.7 (higher is better), with 3 responding
VLID: 13365


TU-A-GrandMapleBa Enhancement/Restoration/Pre-Processing
Neural Network/Deep Learning
Presented by Joyita Dutta, University of Massachusetts Lowell
This presentation has an average satisfaction 4.7 (higher is better), with 3 responding
VLID: 13366


TU-B-GrandMapleBa Applications I
Digital Pathology
Presented by Metin Gurcan, Wake Forest Univ School of Medicine
This presentation has an average satisfaction 4.0 (higher is better), with 3 responding
VLID: 13368


WE-A-GrandMapleBa Segmentation I
Traditional
Presented by Samuel Armato, The University of Chicago
This presentation has an average satisfaction 4.5 (higher is better), with 2 responding
VLID: 13371


WE-B-GrandMapleBa Segmentation II
Neural Network/Deep Learning
Presented by Jinzhong Yang, MD Anderson Cancer Center
This presentation has an average satisfaction 5.0 (higher is better), with 3 responding
VLID: 13373


WE-C-GrandMapleBa Registration I
Traditional
Presented by Gregory Sharp, Massachusetts General Hospital
This presentation has an average satisfaction 4.3 (higher is better), with 3 responding
VLID: 13375


WE-D-GrandMapleBa Registration II
Neural Network/Deep Learning
Presented by Kristy Brock, UT MD Anderson Cancer Center
This presentation has an average satisfaction 4.3 (higher is better), with 3 responding
VLID: 13377


TH-A-GrandMapleBa Feature Analysis and Quantitative Biomarkers I
Types of Features
Presented by Laurence Edward Court, UT MD Anderson Cancer Center
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13379


TH-A-GrandMapleBa Feature Analysis and Quantitative Biomarkers I
Creating Biomarkers
Presented by Maryellen Giger, Univ Chicago
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13380


TH-B-GrandMapleBa Feature Analysis and Quantitative Biomarkers II
Visualizing Deep Learning Filters and Features
Presented by Ulas Bagci, University of Central Florida
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13382


TH-C-GrandMapleBa Feature Analysis/Evaluation
Training/Testing Paradigms
Presented by Frank Samuelson, FDA Center for Devices & Radiological
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13384


TH-D-GrandMapleBa Applications II
Registration for Radiotherapy
Presented by Kristy Brock, UT MD Anderson Cancer Center
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13386


TH-D-GrandMapleBa Applications II
Risk Prediction
Presented by Maryellen Giger, Univ Chicago
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13387


TH-E-GrandMapleBa Applications III
Tumor Response Tracking
Presented by Samuel Armato, The University of Chicago
This presentation has an average satisfaction 3.0 (higher is better), with 1 responding
VLID: 13389


FR-A-GrandMapleBa Quantitative Imaging and Standardization
Quantitative Imaging and Standardization
Presented by Edward Jackson, University of Wisconsin
This presentation has an average satisfaction 4.8 (higher is better), with 4 responding
VLID: 13391


FR-B-GrandMapleBa Ethics and Regulatory Considerations
Ethics and Regulatory Considerations
Presented by Berkman Sahiner, US Food and Drug Administration
This presentation has an average satisfaction 4.3 (higher is better), with 4 responding
VLID: 13393


FR-C-GrandMapleBa Panel Discussion
Panel Member
Presented by Samuel Armato, The University of Chicago
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13395


FR-C-GrandMapleBa Panel Discussion
Panel Member
Presented by Ingrid Reiser, The University of Chicago
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13396


FR-C-GrandMapleBa Panel Discussion
Panel Member
Presented by Berkman Sahiner, US Food and Drug Administration
This presentation has an average satisfaction 0.0 (higher is better), with 0 responding
VLID: 13397