computational pathology • deep learning • medical imaging • @AIgnostics
Germany
Joined July 2014
- Tweets473
- Following286
- Followers351
- Likes414
Our story with @morpheus_lab has been more fortunate, but I can fully relate to this. Research software engineers #RSE are essential parts of science and need to be treated as such. Kudos to @petebankhead for this story and to his fantastic software @QuPath!
A small number of people know the real background story to @QuPath, but most don't.
I didn't plan to ever tell it publicly, until a Google Alert today caught my eye.
A thread about open science & academia 👇 (1/n)
Job alert: Postdoc position in Biomedical Deep Learning available @IMB_TUDresden - my former employer. Task: Develop innovative machine learning methods on real-world medical data. Check it out.
tu-dresden.de/med/mf/imb/das…
Walter de Back 👨🏻💻 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!
👉 bit.ly/joinAI4H
Walter de Back 👨🏻💻 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/
Walter de Back 👨🏻💻 retweeted
@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!
Walter de Back 👨🏻💻 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)
Walter de Back 👨🏻💻 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/…
Walter de Back 👨🏻💻 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
interesting use of Möbius transformations for data augmentation
Data augmentation with M\" obius transformations - goo.gl/scholar/zDQixH #ScholarAlerts
agree, nvtop is very useful. github.com/Syllo/nvtop
Just discovered a #gemforgeeks: a htop like monitor of @NVIDIADC #GPUs. Super helpful to see that @TensorFlow is allocating RAM from all devices it can grab, but apparently only uses 3/4 GPUs. Thanks #Syllo: github.com/Syllo/nvtop #OpenSourceSavesTheWorld
On the current state of (digital) pathology in Germany: Who still wants to count cells?
sueddeutsche.de/gesundheit/m…
Walter de Back 👨🏻💻 retweeted
Growing Neural Cellular Automata -- A new Distill article by @zzznah, @RandazzoEttore, @eyvindn and @drmichaellevin
distill.pub/2020/growing-ca/
Here’s a blog reporting on our hackathon work predicting the Elbe river flow and uncertainties using ConvLSTMs. Written by Lennart Schmidt.
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 #AI mlcdresden.gitlab.io/pages/2…
@wdeback @kiravino
Out now: our paper on ageing of the hematopoetic stem cell niche @NatureCellBio.
nature.com/articles/s41556-0…
Congratulations to all collaborators, and in particular to Mehmet Saçma (@stemcellniche), Johannes Pospiech and Carolina Florian!
Walter de Back 👨🏻💻 retweeted
Not in Okiwana? See our renewed Morpheus tutorials for self-paced learning
morpheus.gitlab.io/courses/
Walter de Back 👨🏻💻 retweeted
You don‘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
Walter de Back 👨🏻💻 retweeted
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…
For the tissue modelers tweeps among you: @morpheus_lab 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.
multicellml.org