Walter de Back  

@wdeback

tissue modeling - bioimaging - data science - deep learning

Dresden
wdeback.gitlab.io
Vrijeme pridruživanja: srpanj 2014.
50 fotografija ili videozapisa Fotografije i videozapisi

Tweetovi

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  1. Prikvačeni tweet
    7. stu 2019.

    Out now: our paper on ageing of the hematopoetic stem cell niche .

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  2. 13. stu 2019.

    Here’s a blog reporting on our hackathon work predicting the Elbe river flow and uncertainties using ConvLSTMs. Written by Lennart Schmidt.

    Odgovor korisniku/ci @sunitachandra29
    Thanks, I much appreciate the praise. For those looking for an in-depth report of one of the "most accurate" teams, see the prequel blog post on high tide predictions of the Elbe river with
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  3. 7. stu 2019.

    Congratulations to all collaborators, and in particular to Mehmet Saçma (), Johannes Pospiech and Carolina Florian!

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  4. 7. stu 2019.

    Here's the sharable link:

    1 reply
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  5. proslijedio/la je Tweet
    30. lis 2019.

    Not in Okiwana? See our renewed Morpheus tutorials for self-paced learning

    2 proslijeđena tweeta 7 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    13. ruj 2019.

    You don‘t see this every day: predictions from a ConvLSTM including uncertainties!! The team from mentored by and reach for the Crown Jewels in data driven science.

    2 proslijeđena tweeta 9 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    8. ruj 2019.
    Odgovor korisniku/ci

    I recommend you those type of simulations can be run with very little effort. You can start here:

    2 proslijeđena tweeta 9 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    31. kol 2019.

    1/ Machine learnists, biologists, and everyone in between: share your ideas to inspire meaningful discussion at on how your fields will advance one another. Short abstracts (no papers) for first LMRL due Sept 16, many travel grants available!

    1 reply 32 proslijeđena tweeta 36 korisnika označava da im se sviđa
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  9. 2. ruj 2019.

    For the tissue modelers tweeps among you: is tweeting on our workshop / hackathon on standardization of multicellular models.

    This workshop/hackaton is part of our multicell standardization project "MultiCellML", funded by BMBF e:Med Systems Medicine.
    5 proslijeđenih tweetova 6 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    18. lis 2018.

    DeepMind is releasing their GraphNets library: - a very comprehensive and easy-to-use library for training graph (neural) networks and related models

    7 replies 533 proslijeđena tweeta 1.315 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    14. kol 2019.

    Want to detect and segment densely packed nuclei in noisy microscopy stacks? Then have a look at StarDist, which we just extended to 3D! Paper: Code:

    9 replies 84 proslijeđena tweeta 262 korisnika označavaju da im se sviđa
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  12. 8. srp 2019.

    Boundary loss as an alternative for Dice loss in image segmentation in case of unbalanced data

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  13. 8. srp 2019.

    More info on CNNs on graphs here:

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  14. 8. srp 2019.

    Opening of . Next up M. Bronstein on "Deep learning on graphs and manifolds". Live stream here:

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  15. 7. srp 2019.

    Just landed in London to learn about the hottest in medical imaging at . Here's our poster (A-M-17) on estimating age and its uncertainties from dental X-rays with Bayesian CNNs. Come by and let's talk!

    4 proslijeđena tweeta 18 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    2. srp 2019.

    First and new realistic 3D model of the liver lobule since the year 1949. Publication of the research lab of director Marino Zerial with first author & collaboration with MPI-PKS & .

    23 proslijeđena tweeta 46 korisnika označava da im se sviđa
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  17. 2. srp 2019.

    now out in : our study revealing long-range patterns in seemingly amorphous liver tissue:

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  18. 3. lip 2019.

    now online: our paper on the use of deep object detection networks to detect HER2 amplification status from FISH images

    8 proslijeđenih tweetova 20 korisnika označava da im se sviđa
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  19. 15. svi 2019.

    Incorporating shape priors in convolutional neural networks for image segmentation.

    Template Transformer Networks for Image Segmentation with Shape Priors published in now available as open access: Joint work between and
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  20. proslijedio/la je Tweet
    13. svi 2019.

    Beautiful work studying the spread of HIV-1 through tissues -- they used ABC () to fit Morpheus models () to experimental data of 2D/3D collagen assays. Now out in Nat. Comm.

    3 proslijeđena tweeta 4 korisnika označavaju da im se sviđa
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