he/him - post-doctoral Cambridge Residency @MSFTResearch, previously: post-doc @BioMedIAICL, PhD @Cambridge_Uni, MSc @ImperialCollege & @TU_Muenchen
Joined July 2020
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Only 3% of Black students learn computer science in high school or beyond. Please watch and share this video. Inspire a student. Together we can change the face of computer science. #BlackVoicesForCS
Stefan Winzeck retweeted
In image analysis, we often assume subjects may be easily identified as subgroup members. But what if this information is only partially encoded in the data?
Our MICCAI 2023 paper investigates "The Role of Subgroup Separability in Group-Fair Medical Image Classification". (1/6)
Stefan Winzeck retweeted
Network neuroscience is awesome ! 🧠But there are soo many ways to go from fMRI data to a connectome that you can analyse... 😵
Are they all just as good? Not at all!
We compare 576 unique pipelines on 3 datasets across 5 different criteria, so you don't have to!
Interested in applying graph theory to your fMRI data but not sure how to best construct a network? We systematically compared network construction pipelines to arrive at methodological recommendations: biorxiv.org/content/10.1101/…
with @loopyluppi @estamatakis Stavros Dimitriadis
Stefan Winzeck retweeted
Great team effort! Thanks to all the developers, radiology readers and trials unit team!! ML reduced round 2 reading-time by 11% with equivalent diagnostic performance @profstuartaylor @GlockerBen @ProfVickyGoh @BharwaniNishat @NIHR @ImperialMed
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study.
URL: doi.org/10.1097/RLI.00000000…
Stefan Winzeck retweeted
Join us through the fascinating world of brain connectivity at @CD_MRI! 🧠🔗🔬 Hear from our keynotes: Dr. Chun-Hung Yeh 🇹🇼, Dr. Demian Wassermann 🇫🇷, and Dr. Jennifer A. McNab 🇺🇸Don't miss this unique opportunity to explore the latest advancements! #MICCAI2023 @MICCAI_Society
Stefan Winzeck retweeted
Very glad to share our paper was accepted at the Journal of Neurotrauma. Check out the paper published in collaboration with @CenterTBI @SWinzeck @jansijbers @vfjn2 @Menon_Cambridge liebertpub.com/doi/10.1089/n…
Stefan Winzeck retweeted
We are at an inflection point for the use of AI in health care. Microsoft Research’s Health Futures organization shares its work to make health care more data-driven, predictive, and precise: msft.it/6012g8Fos
Stefan Winzeck retweeted
Editor pick from March issue
@GlockerBen & coll
shed some light on how dataset biases manifest in predictive models
by exploring methodology for subgroup analysis in image-based disease detection models.
Read bit.ly/3lExbNr
#bias #disparities #fairness
Stefan Winzeck retweeted
In semantic segmentation, background samples provide key contextual information for segmenting regions of interest (ROIs). Our lastest @IEEE_TMI paper systematically investigates the effect of context labels on model learning, especially with small ROIs.
arxiv.org/abs/2212.08423
Stroke multi-centre study driven by @mreyesag and colleagues.
nature.com/articles/s41597-0…
Stefan Winzeck retweeted
Exciting new work by @a_bourached while visiting the #RostLab:
In what situation may #deep #learning enhance the prediction of acute #stroke #severity?
👉medrxiv.org/content/10.1101/…
#ResilientBrainLab #MRIGENIE @MGHNeurology @UCLIoN @nsanar 🥼🖥️🧠
Stefan Winzeck retweeted
Do you provide #CriticalCare to patients with #TBI ?
We found that serum biomarkers could reduce the need for #MRI by 20-30% whilst being cost-saving
Find out more in our latest paper rdcu.be/c0Gwg
@Crit_Care
Thanks @CenterTBI @Menon_Cambridge @vfjn2 & co-authors
Stefan Winzeck retweeted
ARE YOU POOLING multi-site neuroimaging data? Yes, you! ;)
Do you the differences between ComBat🤺, Hierarchical Bayes regression, normative methods, + CycleGANs🚴?
Johanna Bayer's guided tour explains when, why, + how to use these methods frontiersin.org/articles/10.…
Stefan Winzeck retweeted
Hello neuroimagers! @CenterTBI @enigmabrains @ADNI3study
Do you use multi-site #MRI data & wonder what the best ComBat harmonization method is for your data?
Look @ our new paper doi.org/10.1016/j.ynirp.2022…
Building on great work of @chrisdav66 @takishinohara et al
Thx @vfjn2
Stefan Winzeck retweeted
The latest HUMAP version is out! Now, it supports reproducible results.
pip install humap==0.2.1
Stefan Winzeck retweeted
Many MNI spaces! Also many parcellations/templates in many different spaces. This is one of my favorite resources from Lawrence et al. and JHU team: rdcu.be/cVdpw. Huge number of parcellations all in MNI152NLin6 space.
Stefan Winzeck retweeted
Want to run connectomics analyses🧐even in absence of DWI data? We provide a new multi-scale probabilistic atlas of the human connectome and user-friendly code to match it to your data🧠led by Yasser Aléman-Gómez @MeriBach @maxdescoteaux @pahagman et al. nature.com/articles/s41597-0…
Stefan Winzeck retweeted
Labeling bio images for AI just got 10x faster🏎. Today, we’re releasing Biodock Autolabel, and it’s kind of magical. We trained it on thousands of bio images so you can use it without training. (1/6)
@BiodockAI #microscopy #pathology #biology
