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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.

Join the Google Group for up-to-date information


Google Group
https://groups.google.com/forum/#!forum/nci-imaging-community-call

Dial-In Information

ContactDetails
WebEx

https://cbiit.webex.com/cbiit/j.php?MTID=mdb5f537bde0cff01e5c7779f02680185

Meeting number (access code)732 377 553
Meeting passwordtSX9U9c?
Join by phone

1-650-479-3207 Call-in toll number (US/Canada)

Global Call-In Numbers

Agenda of September 14, 2020 meeting

Topic

  • Computational Imaging for Precision Medicine: A quest for generalizable AI models  (Satish Viswanath)

Developing artificial intelligence (AI) schemes to assist the clinician towards enabling precision medicine requires “unlocking” embedded information captured by different data modalities, in an intuitive and generalizable fashion. The research in my group focuses on developing novel computational imaging features (termed “radiomic” features) together with histology or molecular data for disease characterization and treatment response evaluation in vivo. We have also developed tools and approaches towards enabling these AI models to be repeatable across imaging parameters as well as reproducible across site or scanner variations. Specific problems being addressed by us include: (a) predicting response to treatment to identify optimal therapeutic pathways, as well as (b) evaluating therapeutic response to guide follow-up procedures; in the context of clinical applications in colorectal cancers and digestive diseases.

  • TCIA Update

Upcoming Calls

DateTentative Agenda
September 14, 2020
  • Computational Imaging for Precision Medicine: A quest for generalizable AI models  (Satish Viswanath)
October 5, 2020
  • Kheops (Joël Spaltenstein, Osman Ratib)
November 2, 2020
  • MONAI (Stephen Aylward, Prerna Dogra, Jorge Cardoso)
December 7, 2020
  • NIAID TB Bioportal (Alex Rosenthal, Darrell Hurt)

Presentations  and Recordings from Previous Calls

Presentations can be found at SlideShare

DateAgendaRecording
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, 2019Call was canceled due to RSNA
November 4, 2019Call was canceled due to conflicting meetings
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
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