Bringing #OpenScience and #MachineLearning to fetal #MRI Proud to present our paper on the Fetal Tissue Annotation Dataset Scientific Data nature nature.com/articles/s4159… Hamza Kebiri Ivan Ezhov Johannes C. Paetzold @Suprosanna93 Meritxell Bach Cuadra Kinderspital Zürich Universität Zürich Thanks for sharing

Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling deepai.org/publication/le… by Ivan Ezhov et al. including @Suprosanna93 #Estimator #Statistics

"A billion-dollar donation: estimating the cost of researchers’ time spent on peer review" --> bit.ly/3wQxp5o

The 1st place solution for the federated learning challenge FETS2021 is out. #federatedlearning #clinicaldata #miccai2021

Finally, #NeurIPS2021 is on and we are proud to present our paper on: Whole Brain Vessel Graphs: A Dataset and Benchmark for #graph Learning and #neuroscience With this work we hope to introduce real biological datasets to #ml research. Ali Max Erturk Stephan Günnemann menze_group

We finally made it to IEEE-TMI. Happy Christmas to all authors... and R3 of course!

I had the privilege to be on a zoom call with Francis Collins (Outgoing NIH director) today. I asked him why NIH didn’t give full backing to open non-profit publishing. He replied this would likely lead to NIH funding cuts due to commercial journals’ lobbying power in US govt.

Delighted to announce our recent #ECCV2022 acceptance 'Relationformer: A Unified Framework for Image-to-Graph Generation.' A joint effort from menze_group Universität München AIMLabTUM Department of Quantitative Biomedicine TRABIT Preprint: arxiv.org/abs/2203.10202 Code: github.com/suprosanna/rel… (1/4)

just 150$ more and our remote school in Nepal will have the library gofund.me/cd0321f2

Check out our latest work that just got accepted to MedIA. We show how to solve the inverse problem for brain tumor modeling in a couple of minutes instead of weeks. Paper: sciencedirect.com/science/articl… Code: github.com/IvanEz/learn-m…

Hi there, if you are interested in for-loops or inverse problems in general, come chat to us today at ML4H #NeurIPS2022

Ever wondered what the brain of a tumor patient looked like before they developed the disease? This question keeps doctors awake at night. Help them by joining the BraTS Inpainting Challenge! synapse.org/#!Synapse:syn5… #AI #MachineLearning #DeepLearning #computervision #glioma #ml

TopCoW challenge happening at MICCAI 2023! First public challenge on Circle of Willis (CoW) vessel segmentation on two common angiographic imaging modalities MRA and CTA! We look forward to your registration at topcow23.grand-challenge.org Submission is until mid-late Sep. 🐮

Proud to be organizing an ICCV tutorial on VR/AR for biomedical image analysis and clinical neurosciences! An impressive lineup of keynotes and >1hr of cool hands-on demos for all participants! GPU laptops and goggles ready to go! Hybrid participation > xr4biomed.github.io

🥃 After GRAPPA, RAKI, Caipirinha, SAKE etc., We have one more alcoholic beverage in MR Reconstruction😉 I will present our new work, k-GIN at #MICCAI2023 poster W-06-042. 🤗 You can also check our project page: jzpeterpan.github.io/k-gin.github.i…

🧠Have you heard about the HyperProbe project? Funded by EISMEA under #HorizonEU, we're developing a game-changing device for brain surgery using #hyperspectral #imaging. Watch the video to learn more and stay tuned for updates! youtube.com/watch?v=-UEEFx…

Do you believe in miracles? They sometimes do happen, right? The QUBIQ benchmark on uncertainty quantification was just accepted by arXiv. Check it out: arxiv.org/abs/2405.18435

We present MultiOrg: an #organoid dataset tailored for #object_detection tasks with #uncertainty quantification. Over 400 high-resolution 2D #microscopy images and multi-expert annotations of more than 60,000 organoids. Paper: arxiv.org/abs/2410.14612 Data: kaggle.com/datasets/chris…

I hear some people are migrating from the USA to Canada for the next four years. Be sure to stop by Vancouver in December to check out our fresh #NeurIPS paper!

We are happy to announce that our paper was just rejected by MICCAI. If you are interested in our work, please come talk to us during the poster session in the hall of our lab office.