If you are at #BMVC2024 in Glasgow ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ and are interested in robustness for medical image diagnosis, feel free to drop by my oral tomorrow.
๐๏ธ Wednesday, October 27, 2024
๐ M3
๐ 11 AM
๐ผ๏ธ Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations
If you're interested in histopathology and are attending #MICCAI2024 in ๐ฒ๐ฆ, feel free to drop by my poster tomorrow.
๐๏ธ Tuesday, 8th of October 2024
๐ 10:30 - 11:30 AM
๐ผ๏ธ Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization [T-AM-233]
๐ฃ Our paper "Privacy-preserving datasets by capturing feature distributions with Conditional VAEs," has been accepted at #BMVC2024 ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ
A huge thank you to all co-authors: David Tafler, @DoerrichS, and @LedigChr.
Paper: arxiv.org/abs/2408.00639
If you're at #ISBI2024 in #Athens right now, feel free to drop by our poster presentation tomorrow.
๐๏ธDate: Tuesday, 28th of May 2024
๐ Room: Banqueting Hall Foyer
๐Time: 10:00 - 11:30 AM
๐ผ๏ธPoster: #980
See you there and if you want to know more, check out the post below!๐
๐ Celebrating the Next! ๐
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:๐
youtube.com/watch?v=x45XKq3Qโฆ
@xAILab
@UniWiai
๐ Celebrating the Next! ๐
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:๐
youtube.com/watch?v=x45XKq3Qโฆ
@xAILab
@UniWiai
If you're around, feel free to drop by our poster presentation tomorrow at #MICCAI23.
๐๏ธ Date: Sunday, 8th of October
๐ Room: Poster Hall, Ground Level Exhibition B-C
๐ Time: 1:30 - 2:15 PM
๐ผ๏ธ Poster: P-7
Looking forward to sharing insights and discussions! See you there!๐
๐Excited to share our paper at #MICCAI23#MLMI: "unORANIC", an unsupervised orthogonalization of anatomy and image characteristics.
๐No need for domain knowledge
๐Improved robustness against corruption
Prep.: arxiv.org/abs/2308.15507
Source: github.com/sdoerrich97/unORAโฆ
@xAILab
๐Excited to share our paper at #MICCAI23#MLMI: "unORANIC", an unsupervised orthogonalization of anatomy and image characteristics.
๐No need for domain knowledge
๐Improved robustness against corruption
Prep.: arxiv.org/abs/2308.15507
Source: github.com/sdoerrich97/unORAโฆ
@xAILab