Greatly enjoying the guest lecture by ⁦Bernhard Kainz⁩ ⁦FAU Erlangen-Nbg⁩ ⁦BioMedIA Imperial⁩ as part of our Masterseminar series on Anomaly segmentation ⁦TU München⁩ ⁦⁦AIMLabTUM⁩ ⁦IML_Helmholtz⁩

How can we tackle the noise paradox of diffusion models for anomaly detection? Make sure to keep an eye out for our upcoming work at ICML IMLH 2023! Daniel Rueckert Julia Schnabel Project page: ci.bercea.net/project/autodd… #ai #anomalydetection #diffusion

Introducing #ProfGPT, my new AI Avatar by Synthesia 🎥! Getting closer towards fully automating myself :)

📢 Join me at 9:15 pm CEST at #MIDL2023 and discover how our new method RA (ci.bercea.net/project/ra/) pushes the boundaries of Unsupervised Anomaly Detection.🧠🔬. Join me for insightful discussions, and if you're in Nashville, let's connect! 🤝 #AnomalyDetection #MedicalImaging

Just wrapped up an incredible experience at #MIDL2023 in Nashville! 🎉 Huge thanks to all the amazing people I met and the insightful discussions we had. 🙌 If you missed my talk, you can catch it here: youtube.com/watch?v=b9tMbU… #AI #MachineLearning #MedicalImaging

Just had an amazing seminar on anomaly detection and interpretable ML! It's great to give students a glimpse into the academic life. 💡#TUM #CompAi #seminar Julia Schnabel compai.io

🌺 🌴 Are you attending #ICML2023 in Hawaii? Don't miss the opportunity to meet the amazing Julia Schnabel and Daniel Rueckert at the IMLH workshop on July 28th and dive into our exciting research on #diffusion models for #AnomalyDetection 🧠💡 Code: github.com/ci-ber/autoDDP…

Cosmin Bercea Daniel Rueckert You can find me and the poster in Ballroom C today! #ICML2023 #IMLH workshop

📢 From #MICCAI2023 #FAIMI: Learn how unsupervised techniques & shifts in the normative distribution affect Alzheimer's Disease detection🤯. Join me on Oct 12, 2:50 PDT in #Vancouver!🤝 Esther Puyol Bene Daniel Rueckert Julia Schnabel Andy King Paper: t1p.de/pjqna

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What do autoencoders learn? Challenging common assumptions in anomaly detection by Cosmin Bercea at #MICCAI2023

Cosmin Bercea presenting his second paper on anomaly detection at #MICCAI2023

📢 PhD/PostDoc Opportunity Fully-funded (healthcare, pension, >50T€ pa) position in my group Universität Bamberg Opportunity for impactful ML/CV research and to publish & attend prestigious conferences (e.g., CVPR/ICCV/MICCAI). Topic flexible. Details below. Please share/RT🙏

🤖 Can we tailor the reverse process of diffusion models for better diagnostics? Discover THOR at #MICCAI 24, improving anomaly detection in brain MRIs 🧠 and wrist X-rays🖐️. Pre-print: arxiv.org/abs/2403.08464 Code: github.com/ci-ber/THOR_DD… 🙏Bene Daniel Rueckert Julia Schnabel

🎉 Our PhD student Richard Osuala presents at #MICCAI2024! His paper on multi-conditional latent diffusion models could revolutionise DCE-MRI without the need for contrast agents. Catch his poster today! Full paper: link.springer.com/chapter/10.100… 💡🧠 #AIinHealthcare #MedicalImaging

🏆 This year's First Place Paper Award at the EMERGE workshop went to Mehmet Yiğit Avcı, Emily Chan, Cosmin Bercea et al. for their work on Unsupervised Analysis of Alzheimer’s Disease Signatures! Congratulations from all the organisers! 🔗 openreview.net/group?id=MICCA… #MICCAI2024