Biomedical Image Computing Group @ ETH Zürich
Joined November 2017
- Tweets62
- Following32
- Followers492
- Likes7
BMIC Group ETH Zurich retweeted
Thanks again @d_zimmerer for the chance to address the MOOD community at #MICCAI2024! Our call for papers and accompanying dataset with @FrontMedTech are in the works. forms.gle/7gjF6R5YJ1rjNa9Q8 Until then, we’d love everyone’s input on how best to advance anomaly detection.
BMIC Group ETH Zurich retweeted
We are delighted to have @SDurrleman as today's speaker. The talk will start at 14:30 CET and will be about spatio-temporal statistical shape analysis. Zoom link and more information: bmic-student-conference.gith…
BMIC Group ETH Zurich retweeted
We're very excited about the four papers that will be presented from CVL at MICCAI this week. Below is a small teaser about work on reconstruction, shape and distribution modeling as well as reinforcement learning applied to medical imaging challenges.
youtu.be/vBVPGWhTMtA
BMIC Group ETH Zurich retweeted
Missed some of the talks at the @miccai2019 UNSURE workshop or would like to understand how that MC sampling step worked again? We've got you covered!
We have just uploaded all the presentation slides and video recordings of the keynotes and orals here: unsure.miccai.ethz.ch/#resou…
BMIC Group ETH Zurich retweeted
Congratulations to Raghav Mehta (@RagMeh11) and colleagues for winning the UNSURE2019 best paper award for their work on how to propagate uncertainty across cascaded medical imaging tasks! Check it out here: link.springer.com/chapter/10…
BMIC Group ETH Zurich retweeted
We are happy to announce that the review process for UNSURE2019 is over and we have selected 8 high quality papers for presentation ranging from uncertainty propagation to out of distribution detection! Head over to unsure.miccai.ethz.ch/#progr… see the details. @miccai2019
BMIC Group ETH Zurich retweeted
The submission deadline for the UNSURE workshop @miccai2019 was extended until July 19 (midnight PST). 6 days left to submit your work on uncertainty and safety in medical imaging. See unsure.miccai.ethz.ch/#callf… to check if your work falls in the range of topics and all other info.
BMIC Group ETH Zurich retweeted
We are delighted to announce our distinguished keynote speakers who will share their expertise on the topic during the workshop:
* Prof. S. Kevin Zhou
* Koen Van Leemput (@LeemputKoen)
* Yingzhen Li (@liyzhen2)
If you are @miccai2019 make sure to join us on October 17!
BMIC Group ETH Zurich retweeted
2nd call for papers for the @miccai UNSURE (Uncertainty for Safe Utilization of Machine Learning) workshop. We accept 8 page submissions *excluding* references. The submission deadline is 15. July. All further information can be found here: unsure.miccai.ethz.ch/ Please share!
BMIC Group ETH Zurich retweeted
We are happy to announce the first MICCAI workshop on safety and uncertainty in medical imaging (UNSURE 2019)! With this workshop we want to create a platform to discuss these important issues at MICCAI! Make sure to follow for updates! unsure.miccai.ethz.ch/ @miccai2019
BMIC Group ETH Zurich retweeted
Interpretability of A.I. Technologies in Radiology. Thanks for giving your opinion about it through this poll, and for helping sharing this with others through a retweet!👍🙏
surveymonkey.com/r/interpret…
#radiology #ArtificialIntelligence #RSNA18 #MICCAI
BMIC Group ETH Zurich retweeted
Ender Konukoglu - From random (decision) forests to neural networks. #MISS2018 #favignana #medicalimaging #DeepLearning
BMIC Group ETH Zurich retweeted
Carles Ventura @carles_ventura from @UOCuniversitat presented on Tuesday his work "Iterative Deep Learning for Network Topology Extraction" developed at @ETH with @jponttuset @skprat @kmaninis & Luc van Gool. #DLUPC
arxiv.org/abs/1712.01217
BMIC Group ETH Zurich retweeted
I've been enjoying the @arxiv_org automated bot in my Twitter feed for the last few days. It posts a nice "summary of an Arxiv paper in a few pictures and a title" every hour. Nice work, @yddt!
(This retweet is just an example: I haven't read this particular paper) teapawt.net/arxiv_org/status/94080…
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery. arxiv.org/abs/1712.03323
BMIC Group ETH Zurich retweeted
In order to make Generative Adversarial Networks (GANs) easier to experiment with, we’ve open sourced TFGAN, a lightweight #TensorFlow library designed to make it easy to train and evaluate GANs ➝ goo.gl/2ECEqV
BMIC Group ETH Zurich retweeted
Looking forward to tomorrow’s meeting #medicalimaging meets #nips17 #ai #radiology For programme see: sites.google.com/view/med-ni…
BMIC Group ETH Zurich retweeted
Our very own Prof Reza Rezavi and Prof Rutherford discussing developments in prenatal care...#MRI #Fetal #Neonatal #Pregnancy #Research teapawt.net/SES_Consortium/status/…
Don't miss our interview with Prof. Reza Razavi & Mary Rutherford from King's College who are developing new methods in prenatal care! teapawt.net/SES_Consortium/status/…
BMIC Group ETH Zurich retweeted
#TraumaticBrainInjury is a serious disease with potentially severe long-term consequences. Our study investigates the involvement of individual brain structures and confirms increased atrophy in patients with poor outcome. Work done @BioMedIAICL @TBIcare journals.plos.org/plosone/ar…
BMIC Group ETH Zurich retweeted
Precision medicine is all about using #AI to get accurate info to the right person at the right time. #Intel intel.ly/2hkLsO9
