B03.2 - Machine Learning in Biological Imaging – How to Train Your Artificial Neural Network

Session Chair(s)

• KH

  Kyle Harrington

Presentations:

• 10:30 AM – 11:00 AM US CST

  Machine learning methods in the 3D analysis of histopathological data.
  

  Presenting Author: Katarzyna M. Kedziora, Ph.D (she/her/hers) – University of Pittsburgh
• 11:00 AM – 11:15 AM US CST

  Automated Segmentation of 3D Cytoskeletal Filaments From Electron Micrographs with TARDIS
  

  Presenting Author: Robert Kiewisz – Simons Machine Learning Center

  Co-Author: Gunar Fabig – TU-Dresden

  Co-Author: Thomas Müller-Reichert – TU-Dresden

  Co-Author: Tristan Bepler – Simons Machine Lerrning Center
• 11:15 AM – 11:30 AM US CST

  Application of Deep Learning Image Segmentation to Synchrotron Radiation µCT Bone Microstructure Datasets
  

  Presenting Author: Joshua T. Taylor, B.Sc. (he/him/his) – Memorial University of Newfoundland

  Co-Author: Medhat M.F. Hassan – Memorial University of Newfoundland

  Co-Author: Janna M. Andronowski – Memorial Univeristy of Newfoundland
• 11:30 AM – 12:00 PM US CST

  Towards Generalizable Organelle Segmentation in Volume Electron Microscopy
  

  Presenting Author: Larissa Heinrich (she/her/hers) – HHMI Janelia Research Campus

  Co-Author: Will Patton – HHMI Janelia Research Campus

  Co-Author: Davis Bennett – HHMI Janelia Research Campus

  Co-Author: David Ackerman – HHMI Janelia Research Campus

  Co-Author: Grace Park – HHMI Janelia Research Campus

  Co-Author: John A. Bogovic – HHMI Janelia Research Campus

  Co-Author: Alyson Petruncio – HHMI Janelia Research Campus

  Co-Author: Jan Funke – HHMI Janelia Research Campus

  Co-Author: Stephan Saalfeld – HHMI Janelia Research Campus

  Co-Author: Aubrey Weigel (she/her/hers) – HHMI / Janelia Research Campus