Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback) header
Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback) profile picture

computational pathology β€’ deep learning β€’ medical imaging β€’ @AIgnostics

Germany
Joined July 2014
Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)Photo by Walter de Back πŸ‘¨πŸ»β€πŸ’» (@wdeback)
Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
⚠️ PRINCIPAL INVESTIGATORS WANTED ⚠️ @HelmholtzMunich launches the Institute of AI for Health #AI4H, a European #AI #ML hub aiming to transform the future of medicine. Hear more about this unique opportunity from director @fabian_theis & APPLY NOW! πŸ‘‰ bit.ly/joinAI4H
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Join us on the 8th of October for the virtual PANDA workshop at @MICCAI2020, with the first results of our challenge on prostate cancer grading: 11.000 biopsies, 1.000 teams & pathologist-level AI models! More info: panda.grand-challenge.org/
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Replying to @irinavlh
@irinavlh, @DaniloJRezende and I are presenting a tutorial at ICML on 'Representation Learning Without Labels'. Jul 13, 9 AM to 12 PM and 7 PM to 10 PM (BST) icml.cc/virtual/2020/tutoria… icml.cc/Conferences/2020/Sch… Drop by to find out what Plato has to do with VAEs, GANs and SimCLR!
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Working at the intersection of #AI and #Health? Here some overview articles I found useful: (1) Comparison of deep learning performance against health-care professionals (Lancet Digital Oncology 2019): thelancet.com/pdfs/journals/… (Note: major criticism of validation standards)
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Interested in researching AI methodology from a geometric view point? We have a vacancy for 2 PhD positions in the Amsterdam Machine Learning Lab (@wellingmax, @UvA_Amsterdam) on geometric machine learning for medical image analysis! (Open until May 6) uva.nl/en/content/vacancies/…
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Interested in doing a PhD at the intersection of machine learning, biological image analysis, and computational microscopy? Then join my group @epfl in beautiful Lausanne, Switzerland - 1 week left to apply! epfl.ch/education/phd/progra… Please RT
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Not in Okiwana? See our renewed Morpheus tutorials for self-paced learning morpheus.gitlab.io/courses/
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
You donβ€˜t see this every day: predictions from a ConvLSTM including uncertainties!! The team from @UFZ_de mentored by @kiravino and @wdeback reach for the Crown Jewels in data driven science. #d3hack2019
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Replying to @drmichaellevin
I recommend you @morpheus_lab those type of simulations can be run with very little effort. You can start here: morpheus.gitlab.io/blog/2018…
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
DeepMind is releasing their GraphNets library: github.com/deepmind/graph_ne… - a very comprehensive and easy-to-use library for training graph (neural) networks and related models
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
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: arxiv.org/abs/1908.03636 Code: github.com/mpicbg-csbd/stard… @uschmidt83 @haesleinhuepf @TheGeneMyers #WeAreStarDist
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
First and new realistic 3D model of the liver lobule since the year 1949. Publication @eLife of the research lab of @mpicbg director Marino Zerial with first author @andresm_1986 & collaboration with MPI-PKS & @tudresden_de. mpi-cbg.de/press/press-relea… elifesciences.org/articles/4…
Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Beautiful work studying the spread of HIV-1 through tissues -- they used ABC (pyabc.readthedocs.io) to fit Morpheus models (morpheus.gitlab.io) to experimental data of 2D/3D collagen assays. Now out in Nat. Comm. nature.com/articles/s41467-0…
Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Inman is always thought-provoking.
Great to see Inman Harvey mentioned here. I encourage all to (re)read his though-provoking essay "Robotics: Philosophy of Mind using a Screwdriver". Pages 11-32 in: dspace.library.uu.nl/bitstre…
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Three good reasons to use black-box AI systems: science.sciencemag.org/conte…
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Want to boost your science with deep learning? Want to be mentored by 2 deep learning experts & write a paper? Then please apply: indico.mpi-cbg.de/e/d3hack20… #d3hack2019 @TensorFlow #keras @PyTorch @TFBestPractices @fchollet @krasul @florianjug @GuidoJuckeland @csbdresden @mpicbg
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
And: How to execute shell and python scripts as part of a Morpheus simulation. morpheus.gitlab.io/blog/2019…
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
New post: How to generate, export and visualize cell lineage trees using @morpheus_lab: morpheus.gitlab.io/blog/2019…
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Walter de Back πŸ‘¨πŸ»β€πŸ’» retweeted
Why do we need #AI in medicine? nature.com/articles/s41591-0… The lede for my review @NatureMedicine #OA, free until Feb 7th
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