Congratulations to MEVIS and DIAG Nijmegen researcher Alessa Hering for successfully defending her #PhDThesis s.fhg.de/q3C at Radboud University! #DeepLearning #ImageRegistration

Since its launch, MIDL has been committed to openness and transparency in #Medical #imaging research. Thus, we now take the logical next step: MIDL is hosting challenges! Maybe, your challenge will be the first? Read the official call for challenges here: midl.io/call-for-chall…

⚠️ Our detailed programme with is now out! Packed programme of fantastic oral and poster sessions, and keynote talks! ➡ Check out the Conference Programme: geomedia.amsterdam Stay tuned -- more amazing news coming soon! Erik Bekkers Jelmer Wolterink Angelica I Aviles-Rivero

Do you wonder how to best run your challenge? Which platform should you use? Join our next webinar on how to run a challenge! MICCAI Students MICCAI 🗓️ Oct 25th, 2022 at 9am EDT, 3pm CEST 🔗 Free registration: bit.ly/BIAS1025

Assessing #tumor #followup #CT takes too much time? #AI can speed up the #clinicalWorkflow. Find out more at #RSNA22, South Hall L3 booth 2205 s.fhg.de/RSNA22 #Radiology #Oncology

You are not at NeurIPS or RSNA? Then join the MIDL Autumn Academy on reproducibility on Wednesday, November 30 at 3pm! More information here: midl.io/autumn-academy

Super excited: The first MIDL Autumn Academy has just kicked off! Happy to welcome so many interested participants today!

Remember to register your paper until 08.01.2023! Submission deadline is 15.01.2023! Looking forward to many exciting manuscripts.

🚨 Excited to share that Veronika ([email protected]) and I are organizing the webinar series: Datasets through the L👀king-Glass 🤝 We aim to bring together scientists interested in understanding how the data affects the algorithms and society as a whole. purrlab.github.io/webinar/

🎓Are you aspiring to pursue a doctorate in computing science? Our #COMFORTproject partner Umeå University is looking for a #PhD student with a focus on trustworthy #AI-empowered #healthcare solutions. Join forces with top minds & apply now: umu.varbi.com/en/what:job/jo…

Do you work on ML for image registration? We have a special issue for you. Submissions are due Sep 1, 2023. Reviews will be streamlined. Guest editors: Veronika A. Zimmer, Alessa Hering & Mattias Heinrich. Details are here: melba-journal.org/blog/012-speci…

We are very excited to announce that both #MIDL2023 and #MIDL2024 will feature a journal-to-conference track, in partnership with Machine Learning for Biomedical Imaging !

Semisupervised learning guided by clinical reports achieved similar csPCa detection performance with supervised learning while significantly reducing annotation burden buff.ly/3rPLule @anindox8 @MaartendeRooij Radboudumc #Semisupervised #ML #MachineLearning

A novel semisupervised learning method leverages clinical reports to guide voxel-level labels doi.org/10.1148/ryai.2… Joeran Bosma @anindox8 Radboudumc #SemisupervisedLearning #ProstateCancer #prostate

We all know that no AI algorithm will work for every single patient. But what if there was a way to know which cases AI will perform well and which cases it's most likely giving a wrong prediction? Curious? Join our #RadAIchat tonight to find out more!