The DELiVR pipeline enables deep learning-based analysis of neuronal activity or other processes in the brain after tissue clearing and light-sheet imaging. DELiVR’s virtual reality approach facilitates the generation of training data for deep learning.
nature.com/articles/s4159…

DELiVR, is a deep-learning pipeline for whole-brain cell mapping, which is trained on reference annotations generated in a virtual reality environment. nature.com/articles/s4159… #NBThighlight

Absolutely thrilled to see our paper on a VR-trained deep learning pipeline for mapping mouse brain cells published in @NatureMethods 🤩 Retrainable via Fiji for custom data, we used it to study brain activities in cancer.

🧠Explore neuronal activity & cancer-induced weight loss and discover 🚀 DELiVR! Our user-friendly pipeline is out Nature Methods to simplify 3D imaging analysis, welcoming all researchers to dive into discovery.Ali Max Erturk 👏Doris Kaltenecker Rami @[email protected]

Very nice work from my colleagues, which is published in Nature Methods. Try this user-friendly Fiji Plugin for brain-wide cell analysis! Congrats Ali Max Erturk Doris Kaltenecker Rami @[email protected]

Very excited to share that our DELiVR method is now open access published @NatureMethods. We created a simple, brain-wide cell analysis deep learning tool, no coding needed! Fiji Plugin makes it accessible to all. nature.com/articles/s4159…
by Doris Kaltenecker Rami @[email protected]

#3D Brain Analysis with #AI

A team at #HelmholtzMunich & LMU Klinikum München developed #DELiVR .
The #DeepLearning tool allows #brain cell mapping without coding expertise.

🚀Fostering #PrecisionMedicine , e.g. for #Cancer -related weight loss.

👉t1p.de/smjnn

Our paper is now published at Nature Methods - very happy to work on this multidisciplinary project, check it out especially you are interested in #VirtualReality or #neuroscience 🧠!

The April issue is live nature.com/nbt/volumes/42…

Our cover shows an image of a whole mouse body with depth color-coding of a neuronal marker. Mai et al. present wildDISCO, a method for whole-body imaging compatible with standard IgG antibody labeling go.nature.com/3PXs1Zw

New in the journal Medical Image Analysis📜🥳 Check out our new continuous shape model for high-resolution shape reconstruction from various sparse inputs. 👉sciencedirect.com/science/articl…

E.g. the classification of knee osteoarthritis from sparse inputs 🦿🦿🦿

🌟 End-of-Year Opportunity 🌟
Looking forward to your next career move? Join our vibrant teams!
We have multiple openings for PhDs, Postdocs, & Staff Scientists at our academic labs & startups.
👉 Apply now / share:
erturk-lab.com/jobs/
deeppiction.com/hiring/ Deep Piction

🔬🌟 Join our Innovative Team at Helmholtz Munich | @HelmholtzMunich!

We're excited to announce an opening for a Staff Scientist in Tissue Clearing & Image Analysis at our lab. Be part of a team that's pushing boundaries in bioengineering, AI, and more!

We are at the forefront of combining

wow🤩🤩🤩, our wildDISCO Nature Biotechnology paper presenting whole mouse body atlases has become its most downloaded article in 2023 (50K times) within a short time. Great follow-up studies are on the way, stay tuned 😉 nature.com/articles/s4158…

VR/AR for Biomedical Image Analysis & Clinical Neurosciences 🧠 tutorial at #ICCV2023 📸.
Get ready for a hands-on VR/AR session with lots of #clinical & #neuroscience data.

16:00! in Room W08

🔗 Zoom link available at: xr4biomed.github.io
#VR #AR #BiomedicalImaging 🌍🔬

Proud to be organizing an ICCV tutorial on VR/AR for biomedical image analysis and clinical neurosciences!

An impressive lineup of keynotes and >1hr of cool hands-on demos for all participants! GPU laptops and goggles ready to go!

Hybrid participation > xr4biomed.github.io

Join us tomorrow at #ICCV2023 !

Very interesting work by my colleagues Ilgın Kolabas and Louis Kuemmerle!

Excited to share two publications at MIDL 2023 from our group! 1) Vesselformer (openreview.net/forum?id=X_AJq…), accepted as an oral presentation and 2) ViT-AE++ (openreview.net/forum?id=2Aoi0…), accepted as a poster 👏🥳

We are thrilled to present our new study unlocking precision in nanoparticles. Cell-level resolution imaging is key in targeted nanoparticle development. See our work on DNA Origami🧬: biorxiv.org/content/10.110…
by Müge Molbay, Shan, Benni Kick et al, with Hendrik Dietz.🧵👇🏼

Check out this interesting challenge for MICCAI2023!