DL@MBL 2024
The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks that facilitate independent application of the learned material after the course.
Organizers
- Jan Funke
- HHMI Janelia
- Anna Kreshuk
- EMBL Heidelberg
- Alexander Krull
- University of Birmingham
- Shalin Mehta
- CZ Biohub
Faculty
- Beth Cimini
- Broad Institute
- Florian Jug
- Human Technopole
- Virginie Uhlmann
- BioVisionCenter
- Martin Weigert
- Dresden University of Technology
Invited Speakers
- Vladimir Ghukasyan
- CZI
- Nodar Gogoberidze
- Cimini Lab, Broad Institute
- Kyle Harrington
- CZI
- Manuel Leonetti
- CZ Biohub
- Constantin Pape
- Georg-August University Göttingen
- Loïc Royer
- CZ Biohub
Teaching Assistants
- Diane Adjavon
- Funke Lab, HHMI Janelia
- Jordão Bragantini
- CZ Biohub
- Larissa Heinrich
- Saalfeld Lab, HHMI Janelia
- Ed Hirata
- CZ Biohub
- Ziwen Liu
- CZ Biohub
- Caroline Malin-Mayor
- Funke Lab, HHMI Janelia
- Albert Dominguez Mantes
- Weigert and La Manno Lab, EPFL
- Will Patton
- Independent Wizard
- Anirban Ray
- Jug Lab, Human Technopole
- Anna Foix Romero
- Uhlmann Group, EMBL-EBI
- Benjamin Salmon
- Krull Lab, University of Birmingham
- Morgan Schwartz
- Van Valen Lab, Caltech
- Samuel Tonks
- Krull Lab, University of Birmingham
- Vijay Venu
- Harris Lab, UT Austin
- Igor Zubarev
- Jug Lab, Human Technopole