Thanks @MELBAJournal and reviewers for a pleasant submission process!
English
Karin Stacke
42 posts
Karin Stacke
@karinstacke
Industrial PhD Student @ Sectra, researching how to make deep learning models work in clinical practice. Love outdoorsy stuff, my husband and adventure.
Linköping, Sverige Katılım Kasım 2009
62 Takip Edilen31 Takipçiler
Appy to announce that our work on contrastive SSL on histopahtology is out! We show that while it can be worthwhile, there are considerations needed when applied to this type of unique data.
Code and trained models are available here github.com/k-stacke/ssl-p…
Machine Learning for Biomedical Imaging@MELBAJournal
New publication alert🔖⚠️:"Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications." By K Stacke, @karinstacke, J Unger, C Lundström, G Eilertsen. Free to read: melba-journal.org/papers/2022:02…
English
Karin Stacke retweetledi
Excited to announce the launch of our Summer Research Internship program for high school students! We hope to inspire and empower the next generation of AI pioneers in medicine to develop innovative AI solutions that advance human health. Apply by 5/15: stanford.io/3EsjZAa
English
Karin Stacke retweetledi
English
Super excited to be here, thanks for hosting @StanfordPimed and @StanfordAIMI!
Personalized Integrative Medicine Lab at Stanford@StanfordPimed
PIMed is excited to welcome Dr. Golnaz Moallem, PhD, Postdoctoral scholar (@golnaz_moallem) and Karin Stacke, a Visiting PhD Researcher. We are excited to have you both join our team. Welcome!
English
This is work done together with my great colleagues and supervisors @claesklar, Jonas Unger and Gabriel Eilertsen.
@WASP_Research @LiU_CMIV
English
Our paper is submitted to @MELBAJournal, and is already available on Arxiv (arxiv.org/abs/2112.05760), check it out for more details!
We love to hear your thoughts – have you tried SSL on histology data?
English
Self-supervised learning (SSL) for histopathology applications – here is what you need to know!
GIF
English
Karin Stacke retweetledi
On June 16, discover how you can start “Taking Charge of the #AI Implementation in #DigitalPathology” in our new & exciting webinar, co-developed with @OAPathologists 🇨🇦. Register now ➡️ bit.ly/3zd8idz
#imagingAI #pathtwitter
English
Karin Stacke retweetledi
Gave what was a fun (albeit somewhat disrupted with technical issues) talk w/ @RANZCRcollege + @annalise_ai today on medical AI safety.
The take home message - if you want to predict how an AI model will fail, ask yourself the "big AI question", ie
😂What Would A Pigeon Do😂
English
I'm happy to present our work on evaluation of CPC on histopathology data at the #ml4health workshop at #NeurIPS2020 tomorrow in poster session A. Please come and say hi!
Workshop link: nips.cc/virtual/2020/p…
Paper link: proceedings.mlr.press/v136/stacke20a…
English