

Sebastian Doerrich
16 posts

@DoerrichS
PhD Candidat @uni_bamberg_of 📚 | Exploring Robust Deep Learning for Medical Applications 🏥 | Coffee Addict ☕️ | Always Curious, Forever Learning 🎓 | ⚽️🥾





🚀 Excited to introduce: "Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations", wich will be presented as an oral at the #RROW Workshop at #BMVC2024 🏴. 📝: arxiv.org/abs/2409.12276 🐙: github.com/sdoerrich97/un… 👥: @francescodis_, @LedigChr

Another One!📢 Excited to share that our paper "Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization" is accepted at #MICCAI2024! Want to know more? 📝: arxiv.org/abs/2407.02900 🐙: github.com/sdoerrich97/vi… @MICCAI_Society @xAILabBamberg



📣 Our paper "Privacy-preserving datasets by capturing feature distributions with Conditional VAEs," has been accepted at #BMVC2024 🏴 A huge thank you to all co-authors: David Tafler, @DoerrichS, and @LedigChr. Paper: arxiv.org/abs/2408.00639

📣 I am happy to share that our paper "MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions" has been accepted to the #ADSMI workshop at #MICCAI2024! @MICCAI_Society @DaliWorkshop Paper: arxiv.org/pdf/2406.17536




🚀Exciting news!🚀 Our paper on "Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification" has been accepted at #ISBI2024! Preprint📝: arxiv.org/abs/2402.12500 Code🐙: github.com/TobArc/privacy… @xAILab



🌟 Celebrating the Next! 🌟 Tobias, one of my exceptional students, is a finalist for the prestigous "Newcomer Award" at @_DMEA 2024! Please join me in celebrating this outstanding achievement by voting for his contribution:👍 youtube.com/watch?v=x45XKq… @xAILab @UniWiai






🎉Excited to share our paper at #MICCAI23 #MLMI: "unORANIC", an unsupervised orthogonalization of anatomy and image characteristics. 👀No need for domain knowledge 👊Improved robustness against corruption Prep.: arxiv.org/abs/2308.15507 Source: github.com/sdoerrich97/un… @xAILab


