The monthly NCI Imaging Informatics Webinar is organized by the Center for Biomedical Informatics and Information Technology (CBIIT) and the Cancer Imaging Program (CIP). It occurs on the first Monday of every month from 1:00 pm to 2:30 pm Eastern Time and features scientific presentations and project updates.
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Dial-In Information
Agenda of November 2, 2020 meeting
Topic |
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- MONAI (Stephen Aylward, Prerna Dogra, Jorge Cardoso)
1) Introduction to MONAI and the MONAI Community - Stephen Aylward 2) MONAI medical deep learning capabilities and roadmap - Jorge Cardoso 3) MONAI and clinical workflows: Clara and federated learning - Brad Genereaux
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Abstract: The MONAI framework is the open-source foundation for medical deep learning that began as a collaboration between King's College London and NVidia and that is now being led by Project MONAI. The MONAI framework is a freely available, community-supported, PyTorch-based framework for deep learning that is specifically designed for healthcare imaging AI. It is an extensible framework that is meant to include the state-of-the-art neural networks, data augmentation methods, and training systems for medical imaging. The framework also includes streamlined access to medical imaging grand challenges and is designed to promote reproducibility and open science. Project MONAI is developing the MONAI framework and associated tutorials and course material as part of its commitment to creating an inclusive community of AI researchers for the development and exchange of best practices for AI in healthcare imaging, for academia and industry. Project MONAI and the MONAI framework would not have been possible without existing toolkits such as Nvidia Clara Train, NiftyNet, DLTK, and DeepNeuro and the communities that have grown around them.
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Upcoming Calls
Date | Tentative Agenda |
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November 16, 2020 | |
December 7, 2020 | - NIAID TB Bioportal (Alex Rosenthal, Darrell Hurt)
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January 4, 2021 | No meeting |
February 1, 2021 | |
March 1, 2021 |
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April 5, 2021 |
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Presentations and Recordings from Previous Calls
Presentations can be found at SlideShare
Date | Agenda | Recording |
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Novemer 16, 2020 | - Imaging Data Commons (Andrey Fedorov, Dennis Bontempi)
| MP4 file Transcript Slides |
November 2, 2020 | - MONAI (Stephen Aylward, Prerna Dogra, Jorge Cardoso)
Introduction to MONAI and the MONAI Community - Stephen Aylward MONAI medical deep learning capabilities and roadmap - Jorge Cardoso MONAI and clinical workflows: Clara and federated learning - Brad Genereaux
- TCIA Update (Justin Kirby)
| MP4 file Transcript |
October 5, 2020 | - Kheops (Joël Spaltenstein, Osman Ratib)
- TCIA Update (Justin Kirby)
| MP4 file Transcript |
September 14, 2020 | | MP4 file Transcript |
July 6, 2020 | - Distributed Learning of Deep Learning in Medical Imaging (Daniel Rubin)
- MedICI website (Benjamin Bearce)
- TCIA update (John Freymann)
| MP4 file |
June 1, 2020 | - ACR's AI-LAB (Laura Coombs, Chris Treml)
- TCIA update (Justin Kirby)
| MP4 file |
April 6, 2020 | - PathPresenter - a web-based digital pathology and image viewer (Rajendra Singh, Matthew Hanna)
- TCIA update (Justin Kirby)
| MP4 file |
January 6, 2020 | - Medical Segmentation Decathlon: Generalizable 3D Semantic Segmentation (Amber Simpson)
- Imaging Data Commons Update (Todd Pihl)
- TCIA Update (Justin Kirby)
| MP4 file |
December 2, 2019 | Call was canceled due to RSNA |
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November 4, 2019 | Call was canceled due to conflicting meetings |
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October 7, 2019 | - Data Commons Overview (Todd Pihl)
- The Imaging Data Commons (Andrey Fedorov)
- TCIA Update (Justin Kirby)
- NBIA Update (Scott Gustafson)
| MP4 file |
September 9, 2019 | - HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides (Andrew Janowczyk)
- RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning (Kenneth Philbrick)
- TCIA Update (Justin Kirby)
| MP4 file |
August 5, 2019 | - Advanced Methods in Tissue Cytometry (Rupert Ecker)
- Presentation by the 4D Necleome Imaging Working Group (David Grünwald)
- TCIA Update (Justin Kirby)
| MP4 file |
July 1, 2019 | Joint Session with the CPTAC Special Interest Group - CPTAC Project Overview (Chris Kinsinger)
- CPTAC Image Data at TCIA (Justin Kirby)
- CPTAC Proteomics Data at the Proteomics Data Commons (R. Rajesh Thangudu)
- CPTAC Genomic Data at the Genomics Data Commons (Ana Robles)
- Using the CPTAC Data Portal (R. Rajesh Thangudu)
| MP4 file |