Sebastian Doerrich

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

[Sebastian Doerrich @DoerrichS]

🚀 Looking for a novel method to enhance classification robustness under real-world label noise?

Check out this work "An Embedding is Worth a Thousand Noisy Labels" led by @francescodis_ which was published in @TmlrOrg.

📝 https://t.co/w77kdwLxKw
🐙 https://t.co/qgor0v04U2

[Sebastian Doerrich @DoerrichS]

🚀 Looking for a comprehensive benchmark for the MedMNIST+ database?

Check out our latest paper, "Rethinking model prototyping through the MedMNIST+ dataset collection" now published open-access in @SciReports

📝 https://t.co/9fii4kmXWo
🐙 https://t.co/hYMWYAPNks

[Sebastian Doerrich @DoerrichS]

If you are at #BMVC2024 in Glasgow 🏴󠁧󠁢󠁳󠁣󠁴󠁿 and are interested in robustness for medical image diagnosis, feel free to drop by my oral tomorrow.

🗓️ Wednesday, October 27, 2024
📍 M3
🕒 11 AM
🖼️ Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations

[Sebastian Doerrich @DoerrichS]

🚀 Excited to introduce: "Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations", wich will be presented as an oral at the #RROW Workshop at #BMVC2024 🏴󠁧󠁢󠁳󠁣󠁴󠁿.

📝: https://t.co/dHkv86aBJ8
🐙: https://t.co/bSG70OEFQt
👥: @francescodis_, @LedigChr

[Sebastian Doerrich @DoerrichS]

If you're interested in histopathology and are attending #MICCAI2024 in 🇲🇦, feel free to drop by my poster tomorrow.

🗓️ Tuesday, 8th of October 2024
🕒 10:30 - 11:30 AM
🖼️ Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization [T-AM-233]

[Sebastian Doerrich @DoerrichS]

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?
📝: https://t.co/Ri2lUtwdIm
🐙: https://t.co/wHk2SEsI1g

@MICCAI_Society
@xAILabBamberg

[Sebastian Doerrich @DoerrichS]

🚀 Excited to introduce: "Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations", wich will be presented as an oral at the #RROW Workshop at #BMVC2024 🏴󠁧󠁢󠁳󠁣󠁴󠁿.

📝: https://t.co/dHkv86aBJ8
🐙: https://t.co/bSG70OEFQt
👥: @francescodis_, @LedigChr

[Sebastian Doerrich @DoerrichS]

🎺Excited to share yet another work of our #xAILabBamberg!

This work, led by @francescodis_, is for all of you #ComputerVision folks out there interested in #privacy preserving and will be featured at this year's #BMVC conference in Glasgow, UK! 🏴󠁧󠁢󠁳󠁣󠁴󠁿

📝: https://t.co/L5aO4viveT

[Francesco @francescodis_]

📣 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: https://t.co/GI010QJTHC

[Sebastian Doerrich @DoerrichS]

🌟 xAILAB Bamberg goes MICCAI - Part II 🌟
Another work from our group was accepted for #MICCAI2024! This work led by @francescodis_ will be presented at the Workshop on Advancing Data Solutions in Medical Imaging AI #ADSMI.

📝 https://t.co/jjwgvDpILO
🐙 https://t.co/O0sHTEXa8U

[Francesco @francescodis_]

📣 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: https://t.co/vIchrVz0Rq

[Sebastian Doerrich @DoerrichS]

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?
📝: https://t.co/Ri2lUtwdIm
🐙: https://t.co/wHk2SEsI1g

@MICCAI_Society
@xAILabBamberg

[Sebastian Doerrich @DoerrichS]

If you're at #ISBI2024 in #Athens right now, feel free to drop by our poster presentation tomorrow.

🗓️Date: Tuesday, 28th of May 2024
📍 Room: Banqueting Hall Foyer
🕒Time: 10:00 - 11:30 AM
🖼️Poster: #980

See you there and if you want to know more, check out the post below!🚀

[Sebastian Doerrich @DoerrichS]

🚀Exciting news!🚀
Our paper on "Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification" has been accepted at #ISBI2024!

Preprint📝: https://t.co/LCZoIysWQG
Code🐙: https://t.co/oa5bCT85xI

@xAILab

[Sebastian Doerrich @DoerrichS]

📝Paper Alert!📝
Check out our latest research: "Rethinking Model Prototyping through the MedMNIST+ Dataset Collection" - the first baseline evaluation for the MedMNIST+ database.

📝: https://t.co/gY1jnjcBN7
🐙: https://t.co/hYMWYAPNks
💾: https://t.co/Fyl2HCgRLk

@xAILabBamberg

[Sebastian Doerrich @DoerrichS]

Big shoutout to Tobias for securing third place at the @_DMEA Newcomer Award!🥉
Please join us at the xAI Lab Bamberg in celebrating this remarkable achievement!👏

Learn more: https://t.co/2t7Zba39Zq
Explore our research at xAI Lab Bamberg: https://t.co/bmN2sTIqN6

@UniWiai

[Sebastian Doerrich @DoerrichS]

🌟 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:👍

https://t.co/RQct5VwKIf

@xAILab
@UniWiai

[Sebastian Doerrich @DoerrichS]

🌟 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:👍

https://t.co/RQct5VwKIf

@xAILab
@UniWiai

[Sebastian Doerrich @DoerrichS]

🚀Exciting news!🚀
Our paper on "Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification" has been accepted at #ISBI2024!

Preprint📝: https://t.co/LCZoIysWQG
Code🐙: https://t.co/oa5bCT85xI

@xAILab

[Sebastian Doerrich @DoerrichS]

If you're around, feel free to drop by our poster presentation tomorrow at #MICCAI23.

🗓️ Date: Sunday, 8th of October
📍 Room: Poster Hall, Ground Level Exhibition B-C
🕒 Time: 1:30 - 2:15 PM
🖼️ Poster: P-7

Looking forward to sharing insights and discussions! See you there!🚀

[Sebastian Doerrich @DoerrichS]

🎉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.: https://t.co/Ty4FuOHsg7
Source: https://t.co/dAuvEvFSuJ

@xAILab

[Sebastian Doerrich @DoerrichS]

🎉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.: https://t.co/Ty4FuOHsg7
Source: https://t.co/dAuvEvFSuJ

@xAILab

[Sebastian Doerrich @DoerrichS]

@nasred_n @PSLetsPlayDE Suche ratchet und clanket auf amazon, dann wird unter anderem das bundle aufgelistet