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Agenda (click below for the workshop agenda):
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Presentations:
Introduction to Machine & Deep Learning
Frontiers for Deep Learning and Cancer - Eric Stahlberg, Frederick National Laboratory for Cancer Research:
View file name Day 1 AM - Stahlberg.pdf height 150
Introduction to Deep Learning - Rick Stevens, Argonne National Laboratory:
View file name Day 1 AM - Stevens.pdf height 150
Deep Learning: Perspectives from the NIH
Accelerating Image Analysis Workflows Using Deep Learning - Yanling Liu, Frederick National Laboratory for Cancer Research:
View file name Day 1 AM - Liu.pdf height 150
The Impact of Deep Learning on Radiology - Ronald Summers, Diagnostic Radiology Department, NIH Clinical Center:
View file name Day 1 AM - Summers.pdf height 150
Applying Deep Learning to Big Data: Perspectives from the Department of Energy with Applications in Health
Cellular Level Deep Learning - Fangfang Xia, Argonne National Laboratory:
Molecular Level Deep Learning - Brian Van Essen, Lawrence Livermore National Laboratory:
Population Level Deep Learning - Arvind Ramanathan, Oak Ridge National Laboratory:
View file name Day 1 PM - Ramanathan.pdf height 150
Getting Started With CANDLE - Rick Stevens, Argonne National Laboratory:
View file name Day 2 AM - Stevens.pdf height 150
Overview of CANDLE Layers: Workflows, Scripting, and Parallelization Strategies
Workflows - Justin Wozniak, Argonne National Laboratory:
Scripting - Tom Brettin, Argonne National Laboratory:
Parallelization Strategies - Brian Van Essen, Lawrence Livermore National Laboratory:
Preparing Data for Deep Learning
Arvind Ramanathan, Oak Ridge National Laboratory:
Fangfang Xia, Argonne National Laboratory:
Brian Van Essen, Lawrence Livermore National Laboratory:
Interactive Session with CANDLE Developers
Hyperparameter Optimization and Uncertainty Quantification - Justin Wozniak, Argonne National Laboratory:
Installing CANDLE into Other Environments - George Zaki, Frederick National Laboratory for Cancer Research:
View file name Day 2 PM - Zaki.pdf height 150
Workshop Recordings:
Day 1 - Wednesday, February 21, 2018: CANDLE Workshop - Day 1 - Wednesday, February 21, 2018-20180221 1348-1.arf
Day 2 - Thursday, February 22, 2018: CANDLE Workshop - Day 2 - Thursday, February 22, 2018-20180222 1400-1.arf
**Note: The WebEx ARF player is required to playback the recording. Download the ARF player HERE: https://cbiit.webex.com/client/31.11.11/nbr2player.msi
2018 Workshop Presenters:
• Eric Stahlberg, Frederick National Laboratory for Cancer Research (eric.stahlberg@nih.gov)
• George Zaki, Frederick National Laboratory for Cancer Research (george.zaki@nih.gov)
• Yanling Liu, Frederick National Laboratory for Cancer Research (liuy5@mail.nih.gov)
• Ronald Summers, NIH Clinical Center, Diagnostic Radiology Department (RSummers@cc.nih.gov)
• Rick Stevens, Argonne National Laboratory (Stevens@anl.gov)
• Fangfang Xia, Argonne National Laboratory (fangfang@anl.gov)
• Brian Van Essen, Lawrence Livermore National Laboratory (vanessen1@llnl.gov)
• Arvind Ramanathan, Oak Ridge National Laboratory (ramanathana@ornl.gov)
• Justin Wozniak, Argonne National Laboratory (wozniak@mcs.anl.gov)
• Tom Brettin, Argonne National Laboratory (brettin@cels.anl.gov)
2017 CANDLE Workshop Artifacts:
LINK: 2017 CANDLE Workshop Documents and Presentations
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Event Recap:With over 150 attendees representing 22 NIH institutes, government collaborators, industry, and academia, the February CANDLE Workshop at NIH proved to be a truly engaging and successful event! Throughout the two-day workshop, many different perspectives on machine and deep learning were explored along with their applications to cancer research and advancing precision oncology.
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