Tingying Peng
@tingyingpeng.bsky.social
Reposted by Tingying Peng
TITAN: A Multimodal AI Model for Digital Pathology Slides
Researchers at #HelmholtzMunich, in collaboration with Harvard Medical School & international partners, have developed #TITAN – a multimodal #AI model that analyzes and describes digital #pathology slides.
👉 t1p.de/sz1wt
#FoundationModel
Researchers at #HelmholtzMunich, in collaboration with Harvard Medical School & international partners, have developed #TITAN – a multimodal #AI model that analyzes and describes digital #pathology slides.
👉 t1p.de/sz1wt
#FoundationModel
November 11, 2025 at 12:17 PM
TITAN: A Multimodal AI Model for Digital Pathology Slides
Researchers at #HelmholtzMunich, in collaboration with Harvard Medical School & international partners, have developed #TITAN – a multimodal #AI model that analyzes and describes digital #pathology slides.
👉 t1p.de/sz1wt
#FoundationModel
Researchers at #HelmholtzMunich, in collaboration with Harvard Medical School & international partners, have developed #TITAN – a multimodal #AI model that analyzes and describes digital #pathology slides.
👉 t1p.de/sz1wt
#FoundationModel
Reposted by Tingying Peng
I wrote a paper with @lorenzlamm.bsky.social, @marionjasnin.bsky.social, @tingyingpeng.bsky.social, F. Eckardt and B. Schworm and got accepted at #NeurIPS2025 and fun fact: 90% of viewers are enby vegans! 🤟
So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3
So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3
Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
Vision Transformers (ViTs), such as DINOv2, achieve strong performance across domains but often repurpose low-informative patch tokens in ways that reduce the interpretability of attention and feature...
arxiv.org
November 12, 2025 at 12:28 PM
I wrote a paper with @lorenzlamm.bsky.social, @marionjasnin.bsky.social, @tingyingpeng.bsky.social, F. Eckardt and B. Schworm and got accepted at #NeurIPS2025 and fun fact: 90% of viewers are enby vegans! 🤟
So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3
So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3
We’ve updated our powerful MemBrain-seg tool for CryoET membrane segmentation! Plus, we’re introducing two new tools: MemBrain-pick for particle picking and MemBrain-stats for statistical analysis. Feedback is warmly welcome!
🦠🧠 MemBrain update! 🧠🦠
We’ve updated our preprint! It now covers the full MemBrain v2 pipeline for end-to-end membrane analysis in #CryoET: segmentation, particle picking, and spatial statistics.
🔗 Preprint: doi.org/10.1101/2024...
🔗 Code: github.com/CellArchLab/...
🧵(1/6) #TeamTomo
We’ve updated our preprint! It now covers the full MemBrain v2 pipeline for end-to-end membrane analysis in #CryoET: segmentation, particle picking, and spatial statistics.
🔗 Preprint: doi.org/10.1101/2024...
🔗 Code: github.com/CellArchLab/...
🧵(1/6) #TeamTomo
April 25, 2025 at 10:12 AM
We’ve updated our powerful MemBrain-seg tool for CryoET membrane segmentation! Plus, we’re introducing two new tools: MemBrain-pick for particle picking and MemBrain-stats for statistical analysis. Feedback is warmly welcome!