Walter de Back 👨🏻‍💻

computational pathology • deep learning • medical imaging • @AIgnostics

[Walter de Back 👨🏻‍💻 @wdeback]

@JAASANTINHA @quantrad Also see pytorch code here: https://t.co/ajFvoQFL4T

[Walter de Back 👨🏻‍💻 @wdeback]

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!

[Pete Bankhead @petebankhead]

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)

[Walter de Back 👨🏻‍💻 @wdeback]

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.

https://t.co/KtANoO739e

[Helmholtz AI @helmholtz_ai]

⚠️ 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!

👉 https://t.co/cMIFWCnltm

[Wouter Bulten @wouterbulten]

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: https://t.co/v3lzs3bm6D

[Ali Eslami @arkitus]

@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)
https://t.co/98xkUkzNIP
https://t.co/acJ85jKZGT

Drop by to find out what Plato has to do with VAEs, GANs and SimCLR!

[Lena Maier-Hein New: @lena-maier-hein.bsky.social @lena_maierhein]

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):

https://t.co/lrsBtdRRqc
(Note: major criticism of validation standards)

[Walter de Back 👨🏻‍💻 @wdeback]

@mitkoveta @petebankhead @martweig @uschmidt83 https://t.co/LsiNelV1s6

[Erik Bekkers @erikjbekkers]

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)

https://t.co/gnmIKfKOKG

[Martin Weigert (maweigert.bsky.social) @martweig]

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!
https://t.co/DPjs0VyPVw
Please RT

[Walter de Back 👨🏻‍💻 @wdeback]

interesting use of Möbius transformations for data augmentation

[Torbjörn Lundh @torbjornlundh]

Data augmentation with M\" obius transformations - https://t.co/NNVLUrbavk #ScholarAlerts

[Walter de Back 👨🏻‍💻 @wdeback]

@JeanKossaifi @nvidia @AnimaAnandkumar @NvidiaAI congrats! will you be able to continue to develop or maintain your fantastic #tensorly library?

[Walter de Back 👨🏻‍💻 @wdeback]

@AlexGFletcher @adrs0061 @RaisingFloors @morpheus_lab @morpheus_lab is designed for cell-based modeling but also handles simpler ODE and PDE models. Not exactly drag and drop, but no programming needed.

Check out the Morpheus courses: https://t.co/tk27HGKv5Z

Or the “my first model” section of this tutorial: https://t.co/8AhJ2QwQFz

[Walter de Back 👨🏻‍💻 @wdeback]

@LittleMissData @JanHasenauer as a matplotlib user, you’re making me jealous ...

[Walter de Back 👨🏻‍💻 @wdeback]

agree, nvtop is very useful. https://t.co/QMAZlgqthX

[Peter Steinbach @psteinb_]

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: https://t.co/6e5qF21PFG #OpenSourceSavesTheWorld

[Walter de Back 👨🏻‍💻 @wdeback]

On the current state of (digital) pathology in Germany: Who still wants to count cells?

https://t.co/Psm0YNDztM

[Distill @distillpub]

Growing Neural Cellular Automata -- A new Distill article by @zzznah, @RandazzoEttore, @eyvindn and @drmichaellevin
https://t.co/nXJ7lkH6VM

[Walter de Back 👨🏻‍💻 @wdeback]

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

[Peter Steinbach @psteinb_]

@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 #AI https://t.co/mcwrDZFzsm
@wdeback @kiravino

[Walter de Back 👨🏻‍💻 @wdeback]

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

[Walter de Back 👨🏻‍💻 @wdeback]

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

https://t.co/O5RWOa7NDF

[Walter de Back 👨🏻‍💻 @wdeback]

@NatureCellBio Here's the sharable link:
https://t.co/3I69ElrnKu