Synopsis of Social media discussions
The overall sentiment reveals strong support and enthusiasm for the research, exemplified by phrases like 'great new read,' and 'DL facilitates high-throughput mapping,' which emphasize the innovative and impactful nature of this work. The tone demonstrates excitement about the potential applications in large-scale brain mapping and neuroscience advancements.
Agreement
Moderate agreementMost discussions acknowledge the significance of using CNNs for brain mapping, showing general support for the methodology and findings.
Interest
High level of interestPosts are highly interested, referencing the innovative approach and its potential impact on neuroscience research.
Engagement
Moderate level of engagementSome discussions delve into technical details and implications, indicating active engagement.
Impact
High level of impactMultiple comments highlight the transformative potential of this technology for brain research and high-throughput mapping.
Social Mentions
YouTube
2 Videos
16 Posts
Metrics
Video Views
1,304
Total Likes
31
Extended Reach
81,564
Social Features
18
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Automated 3D Cytoarchitectonic Mapping of the Human Metathalamus
This video discusses an innovative workflow utilizing deep convolutional neural networks to enhance the speed and accuracy of cytoarchitectonic brain mapping, facilitating large-scale analysis of human brain sections without requiring 3D reconstruction.
Automated Large-Scale Brain Mapping with Convolutional Neural Networks
This study introduces a new automated workflow using Deep Convolutional Neural Networks to map cytoarchitectonic areas in large human brain series, improving speed and accuracy, and enabling high-resolution brain mapping for better understanding of brain organization.
-
see @brandst_and and me talk about our new subcortical brain maps @EBRAINS_eu https://t.co/lUs5rtk9wE
view full postMay 12, 2022
2
-
The Aegean Society
@aegeansociety (Twitter)Araştırmacılar, metatalamusun iki farklı bölümünün hücresel yapısının yeni bir açık erişimli 3D haritasını yayınladılar. #humanbrainproject #insanbeyinprojesi https://t.co/7BPbiscBn3
view full postApril 2, 2022
-
UCL Discovery
@ucl_discovery (Twitter)Open Access UCL Research: Convolutional neural networks for cytoarchitectonic brain mapping at large scale https://t.co/XtOiKVV9U5
view full postAugust 5, 2021
-
BigBrain
@BigBrainProject (Twitter)RT @bogglerapture: Convolutional neural networks for cytoarchitectonic brain mapping at large scale https://t.co/e5vizd0jV1
view full postJuly 12, 2021
4
-
Tristan Chaplin
@chaplin_ta (Twitter)RT @bogglerapture: Convolutional neural networks for cytoarchitectonic brain mapping at large scale https://t.co/e5vizd0jV1
view full postJuly 11, 2021
4
-
Alex Fornito
@AFornito (Twitter)RT @bogglerapture: Convolutional neural networks for cytoarchitectonic brain mapping at large scale https://t.co/e5vizd0jV1
view full postJuly 11, 2021
4
-
Walid Yassin
@Wal_yas (Twitter)RT @bogglerapture: Convolutional neural networks for cytoarchitectonic brain mapping at large scale https://t.co/e5vizd0jV1
view full postJuly 10, 2021
4
-
Armin Raznahan
@bogglerapture (Twitter)Convolutional neural networks for cytoarchitectonic brain mapping at large scale https://t.co/e5vizd0jV1
view full postJuly 10, 2021
12
4
-
Helmholtz AI
@helmholtz_ai (Twitter)RT @wenzel_susanne: Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. Great new read at #neuroimage
view full postJuly 5, 2021
1
-
MRI Papers
@mripapers (Twitter)NI: Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale https://t.co/4lI7Z31tOL
view full postJuly 3, 2021
-
Christian Schiffer
@ChristianSchif8 (Twitter)RT @BigBrainProject: DL facilitates high-throughput cytoarchitectonic mapping in large series of histological brain sections
view full postJuly 2, 2021
1
-
BigBrain
@BigBrainProject (Twitter)DL facilitates high-throughput cytoarchitectonic mapping in large series of histological brain sections
view full postJuly 2, 2021
5
1
-
Deep RL
@deep_rl (Twitter)Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale - Christian Schiffer https://t.co/Npxi9o6YAZ
view full postNovember 27, 2020
-
DeepAI
@DeepAI (Twitter)Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale https://t.co/HW31DoT9TQ by Christian Schiffer et al. #NeuralNetwork #ConvolutionalNeuralNetwork
view full postNovember 27, 2020
1
-
cs.CV Papers
@arxiv_cs_cv_pr (Twitter)Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, and Timo Dickscheid https://t.co/ep9y9WrqJi
view full postNovember 26, 2020
-
arXiv reaDer bot (cs-CV)
@arXiv_reaDer (Twitter)Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale 大規模な細胞構築脳マッピングのための畳み込みニューラルネットワーク 2020-11-25T16:25:13+00:00 arXiv: https://t.co/ZlbkHazPbf 英/日サマリ↓ https://t.co/z5hBmUMfcr
view full postNovember 25, 2020
Abstract Synopsis
- This study introduces a new automated workflow using Deep Convolutional Neural Networks (CNNs) to map cytoarchitectonic areas in large series of human brain sections, improving speed and accuracy compared to previous methods.
- The method learns from a few annotated section images and predicts missing annotations across unannotated sections, eliminating the need for 3D reconstruction and handling artifacts effectively, making it suitable for large datasets.
- The workflow is accessible through a web interface, enabling researchers without deep learning expertise to analyze massive brain data, paving the way for high-resolution brain mapping and better understanding of brain organization.]
Kai Kiwitz
@KaiKiwitz (Twitter)