내가 좋아할 만한 콘텐츠
The #MICCAI2025 #BraTS #inpainting challenge this year was a blast! We would like to thank and congratulate all challenge participants and organizers! Algorithms and method descriptions are now available to the public. Read our summary on LinkedIn: tinyurl.com/3e3rk6wy
We look forward to your innovative contributions to this exciting area of research! This challenge is jointly organized by @JuanEugenioIgl1, @RosenLab, Bene Wiestler, @neuronflow, myself, and the @BraTS_challenge organizing team.
1/ 🚨 Interested in robust blood vessel segmentation in arbitrary 3D (bio)medical images? Then check out "vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation" to be presented at #CVPR25
🚀 AIME G500 Blackwell Pro AI Workstation 🚀 The AIME G500 is the most powerful HPC workstation worldwide, designed as maintainable high-end workstation with enough cooling and PSU capacity to host up to four high-end GPUs.
The validation phase of this year’s BraTS Inpainting Challenge is on! #BraTS2025 #Lighthouse #MICCAI Looking forward to seeing your creative and innovative ideas! synapse.org/Synapse:syn641…
🚨 New publication alert: 📢 “Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge.” 🖊️ D LaBella, U Baid, O Khanna, S McBurney-Lin, …, J Villanueva-Meyer, A M Rauschecker, A Nada, M Aboian, A E Flanders, B Wiestler, S Bakas, E Calabrese. ⬇️
Spatial proteomics is crowned Method of the Year! 🎉 Explore our groundbreaking work on bringing proteomics into 3D (yes, spatial! 😉): cell.com/cell/pdf/S0092…. And don’t miss my latest review on 3D spatial omics using tissue-clearing and AI: nature.com/articles/s4159…. 🚀
The wait is over!! We are thrilled to announce that we have chosen Spatial Proteomics as 2024’s Method of the Year! 🥳 For more on Spatial Proteomics and a road map to this special issue, please see this month’s Editorial or read on in this thread. nature.com/articles/s4159…
(1/3) Introducing CT-CHAT 💬, a multimodal generalist AI assistant designed specifically for 3D chest CT analysis. Trained on over 2.7M question-answer pairs, CT-CHAT builds upon the foundations of CT-RATE and CT-CLIP and excels as a chat model for 3D medical imaging!
We present MultiOrg: an #organoid dataset tailored for #object_detection tasks with #uncertainty quantification. Over 400 high-resolution 2D #microscopy images and multi-expert annotations of more than 60,000 organoids. Paper: arxiv.org/abs/2410.14612 Data: kaggle.com/datasets/chris…
Congratulations to all participants of the #MICCAI2024 Brain Synthesis Challenge! Your hard work and innovative contributions are driving advancements in medical imaging and AI. You guys are making a real impact! #BraTS, #BraTS2024, #inpainting
Super excited to share our latest preprint with you 🤩 We've tackled the challenge of visualizing obesity-induced changes in peripheral nerves and immune cells on the whole-body scale and developed an AI-powered pipeline to precisely quantify these changes.
Imagine seeing a disease's impact on every cell in the body. Now, you can! We introduce MouseMapper, an AI tool to reveal system-wide disease perturbations. MouseMapper showed obesity-induced changes in facial nerves & body-wide inflammation 👉🏼🧵biorxiv.org/content/10.110…
Check this out “fresh” perspective by @erturklab now online @naturemethods
Check out our July Editorial about tissue histology in 3D, which is paired with related content in the issue such as a Perspective about Deep 3D Histology, a Comment about Cellomics, and an Article about a VR-based approach for generating training data for 3D histology (1/4).
Congratulations 🎉🥳@erturklab for yet another cover @naturemethods once again kudos to @Dorie00 @Rami96614090 @moritz_negwer and team!
The July issue is live today! nature.com/nmeth/volumes/… The beautiful cover comes from the @erturklab and shows c-Fos+ neuronal mapping in whole mouse brains. See paper: nature.com/articles/s4159…
Do you believe in miracles? They sometimes do happen, right? The QUBIQ benchmark on uncertainty quantification was just accepted by arXiv. Check it out: arxiv.org/abs/2405.18435
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 @Dorie00 @Rami96614090 @moritz_negwer
Excited to deliver you our DELiVR method! Congratulations 🥳🎉 team @erturklab
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 @Dorie00 @Rami96614090 @moritz_negwer
Our wildDISCO cover is live now 😊congratulations once again to our team @erturklab 👏🎉🥳
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
Our ISLES'22 challenge preprint on ischemic stroke lesion segmentation is now available! 🎉 Here are some key takeaways: (1/5)
🍻EXCITING DAY: Our @naturemethods sister publications on #MetricsReloaded are out🎉. Recommendations: rdcu.be/dysg5 Pitfalls: rdcu.be/dysgX @helmholtz_image @bias_sig @ProjectMONAI @NCT_HD @DKFZ Important for the community: 1/
🔥
$3,200 as the publication fee is still a lot! Many folks can't really afford this and we believe such high fees are unjustified. At MELBA, our goal is to bring this down to ZERO. Currently, we charge $10 as a submission fee and that's it. And we are fully open access. Consider…
United States 트렌드
- 1. Flacco 82.9K posts
- 2. Bengals 79.2K posts
- 3. Bengals 79.2K posts
- 4. Tomlin 21.4K posts
- 5. Ramsey 18.6K posts
- 6. Chase 105K posts
- 7. Chase 105K posts
- 8. #WhoDey 6,737 posts
- 9. #TNFonPrime 5,519 posts
- 10. #WhoDidTheBody 1,433 posts
- 11. Teryl Austin 2,723 posts
- 12. #clubironmouse 2,042 posts
- 13. Cuomo 79.9K posts
- 14. #criticalrolespoilers 6,547 posts
- 15. Andrew Berry 3,177 posts
- 16. Max Scherzer 14.1K posts
- 17. DK Metcalf 3,921 posts
- 18. Burrow 9,608 posts
- 19. Ace Frehley 95.1K posts
- 20. Zac Taylor 2,523 posts
Something went wrong.
Something went wrong.