Interactive Workshop Hosted by NIH.AI and NVIDIA
Date: October 19, 2021
Recording: Next to every presentation.
Meeting Description:
Hosted by NIH.AI and NVIDIA, this highly interactive, three-hour workshop will offer opportunities to share the latest updates in applying machine learning in medical image analysis and ongoing activities across the National Institutes of Health (NIH). NVIDIA specialists will deliver targeted presentations and NIH and Fellows will deliver lighting talks about their work. It will offer plenty of time for open discussion among peers and across disciplines.
The workshop will be hosted on Webex. Registration: NOT required.
Meeting goals:
- Increase awareness across the NIH community on available deep learning techniques for medical image analysis and ongoing efforts
- Foster collaboration among meeting attendees
Agenda:
1:00 - 1:05 pm Introduction + Workshop Objectives
Presentations from NVIDIA :
1:05 - 1:35 pm Artificial Intelligence, Machine Learning, and Deep Learning: State of the Arts Models in Biomedical Images
Jesse Tetreault, M.S.
Solution Architect, NVIDIA
Presentation: Here
Recording: Here
1:40 - 2:20 pm Instruments at Hand: Tools and Frameworks for AI Practitioners: Power of Computation, MONAI, NVIDIA Clara
Jesse Tetreault, M.S.
Solution Architect, NVIDIA
Recording: Here, starting 44:00
Lighting Talks from NIH Investigators
2:30 - 2:40 pm NCI Imaging Data Commons
Keyvan Farahani, Ph.D.
Program Director, National Cancer Institute, Center for Biomedical Information and Information Technology (CBIIT) Biomedical Imaging Informatics
Presentation: Here
Recording: Here
2:40 - 2:50 pm Recent AI applications in the NCI CCR Artificial Intelligence Resource
Stephanie Harmon, Ph.D.
Staff Scientist, NCI Molecular Imaging Branch
2:50 - 3:00 pm Strategies to Mine Lymph Nodes from Incompletely Annotated PACS Data
Tejas Mathai, Ph.D.
Imaging Biomarkers and Computer Aided Diagnosis (CAD) Lab, NIH Clinical Center
Recording: Here
3:00 - 3:10 pm Break
3:10 - 3:20 pm AI for Imaging Metabolic Disorders
Nader S. Metwalli, Ph.D.
Staff Scientist in the NIH Biomedical and Metabolic Imaging branch (BMIB),
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Presentation: Here
Recording: Here, starting 14:00
3:20 - 3:30 pm Volume Electron Microscopy: Advances and Challenges in DL-based Segmentation
Kedar Narayan , Ph.D.
Sr Scientist & Group Leader, Center for Molecular Microscopy
Frederick National Laboratory, National Cancer Institute, NIH
Resource for the community: CEM500K, an unlabeled electron microscopy dataset for DL applications
Presentation: Here
Recording: Here
3:30 - 3:40 pm Enhancing Fluorescence Microscopy with Computation
Hari Shroff, Ph.D.
Senior Investigator and Chief, Laboratory of High Resolution Optical Imaging,
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Presentation: Here
Recording: Here
3:40 - 4:00 Guided Discussion
Questions?
Please contact George Zaki [C] (george.zaki@nih.gov)