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

Check out our new paper “Robust Detection Outcome” (RoDeO) at MIDL 2023 this week. Also, check out Buck’s presentation! Presentation: youtu.be/H8SH0tGkABE Paper: openreview.net/forum?id=zyiJi… Code: github.com/FeliMe/RoDeO @GKaissis Daniel Rueckert

News: Ioannis Lagogiannis, @GKaissis, Daniel Rueckert, and I performed the most comprehensive comparative study up to this date, including 13 diverse models and 5 different datasets. Read it now as early access paper on IEEE-TMI ieeexplore.ieee.org/document/10197… (Or on ArXiv: arxiv.org/abs/2303.00609)

🌆 I am at #MICCAI2023 in Vancouver this week, presenting our latest work on weakly-supervised object pathology detection in chest X-ray images 🧬🖥️. Happy to meet and chat with you there! 🤗 paperswithcode.com/paper/anatomy-…

Pathology detection in chest x-ray images presented by FelixMeissen at #MICCAI2023. Do stop by!

🥃 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…

Greetings from Vancouver at #MICCAI2023 AIMLabTUM BioMedIA Imperial

I’m happy to share that our latest work on performance biases of unsupervised anomaly detection models was published in the latest issue of eBioMedicine. @moritzknolle svenjabreuer Ruth Müller Alena Buyx @GKaissis Benedikt Wiestler Daniel Rueckert doi.org/10.1016/j.ebio…