@janfunkey

Alumni of @ETH_en and @la_UPC, now happily solving puzzles with a fantastic group at @HHMIJanelia.

 Ashburn, VA
janelia.org/lab/funke-lab
Joined July 2019
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29Media
This was DL@MBL 2022, the Deep Learning for Microscopy Image Analysis course at the @MBLScience in Woods Hole! Thanks to Anacris (IG: anacrispascual) for the video! #dlmbl
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Good news everyone: we extended the deadline for applications by two weeks until May 1st! mbl.edu/education/advanced-r…
Jan Funke@janfunkey
5 Apr 2024
How can machine learning help you to analyze your microscopy images? Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5! Applications are due 🚨 April 17 🚨 Read on for more! 👇 mbl.edu/education/advanced-r…
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How can machine learning help you to analyze your microscopy images? Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5! Applications are due 🚨 April 17 🚨 Read on for more! 👇 mbl.edu/education/advanced-r…
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This year's faculty: Alexander Krull @sagzehn, Anna Kreshuk @ilastik_team, Carsen Stringer @computingnature, Florian Jug @florianjug, Jan Funke @janfunkey, Loïc A. Royer @loicaroyer, Martin Weigert @martweig, Shalin Mehta @mattersOfLight, and Virginie Uhlmann @VirginieUhlmann.
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We are looking forward to receiving your applications by April 17. Feel free to reach out to any of us with questions you might have! mbl.edu/education/advanced-r…
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The BioImage Computing (BIC) workshop is open for submissions! This year, BIC will be held at @ICCVConference in Paris, October 3. Accepted papers will be published in the ICCV proceedings. We accept submissions until July 21. More information here 👇 bioimagecomputing.com/call-f…
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🔥 Today, researchers unveiled the connectome of the male adult fruit fly nerve cord. 🧠 With about 23K neurons, 10 million pre-synaptic sites & 74 million post-synaptic densities, it’s the most in-depth & complete wiring diagram of a fly nerve cord. 🔗janelia.org/news/janelia-sci…
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How can machine learning help you to analyze your microscopy images? Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5! Applications are due 🚨 May 18 🚨 Read on for more! 👇 mbl.edu/education/advanced-r…
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Meet this year's faculty: Alexander Krull @sagzehn, Anna Kreshuk @ilastik_team, Carsen Stringer @computingnature, David van Valen @davidvanvalen, Florian Jug @florianjug, Jan Funke @janfunkey, Loïc A. Royer @loicaroyer, Martin Weigert @martweig, and Shalin Mehta @mattersOfLight.
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We are looking forward to receiving your applications by May 18, and feel free to reach out to any of us with questions you might have! mbl.edu/education/advanced-r…
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Auxiliary learning via prediction of local shape descriptors increases the efficiency of segmentation of neurons in electron microscopy data. @SheridanArlo @janfunkey @HHMIJanelia @salkinstitute @srinituraga @manorlaboratory OA paper: nature.com/articles/s41592-0…
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This was a blast, so much Deep Learning that by the end of the course we all thought of ReLUs when seeing Woods Hole's drawbridge opened ;)
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We are already excited to plan the next DL@MBL, which is tentatively scheduled for August 20 through September 4 2023. More about next year's course soon! :)
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