Top Tweets for #NeuralSpicing
📣NEW DATASET 🌈🦙SPECTRALPACA: https://t.co/ThQ0UZhZwU released in @ScientificData
Generated under lead of @leo_ayala01 in the scope of @ERC_Research grant #NeuralSpicing
... we provide some more evidence that neural networks often output the mean of multiple plausible solutions (rather than one of the correct solutions).
Milestone of the @ERC_Research project #NeuralSpicing. Congrats to Jan Nölke, @tj_adler and all!
(2/2)
🏆Congratulations to @DKFZ_IMSY_lab rising star Christoph Bender on receiving the BVM 2024 award for his thesis on hardware-related biases in photoacoustic imaging. Many thanks also to the @BVM_Community jury for selecting his work 🙏. Part of @ERC_Research grant #NeuralSpicing
Generalization (e.g. due to rare pathologies) is a huge issue in medical imaging AI. In @ERC_Research grant #NeuralSpicing we use test-time augmentation with synthetic data to address this issue.
The @IPCAI_conf paper is now available: https://t.co/UgXazgjJTa 1/2
@DKFZ_IMSY_lab member Kris Dreher taking stage @PhotonicsWest with his @ERC_Research #NeuralSpicing work on unsupervised domain transfer for realistic photoacoustic image simulation. https://t.co/yGRLYYAMa0
Congratulations on the #MICCAI2023 young scientist award @SeidlitzSilvia Jan Sellner @DKFZ_IMSY_lab @doctor_felix @beatpetemueller et al.👑 collaboration between @hidss4health and ERC grant #NEURALSPICING.
💫Personal highlight 💫:
One of the most important @DKFZ_IMSY_lab contributions, developed in the @ERC_Research grant #NeuralSpicing under lead of @leo_ayala01 @tj_adler & D. Teber and just published in @ScienceAdvances: https://t.co/BopBPRmmVT
Why I like it so much? 1/n
Well-deserved, Niklas, for all your hard work in the @ERC_Research project #NeuralSpicing! Credit also to team members @MelanieSchell15 @hidss4health @AlexSeitel and of course our clinical collaborators U. Rother et al. from Erlangen!!
#OpenScience contribution for spectral image analysis resulting from our @ERC_Research grant #NeuralSpicing and a @hidss4health collaboration with @doctor_felix et al. 🔥Coming up:🔥 Corresponding open data 👩💻
Are you into deep learning-based tissue classification/segmentation on medical 𝗵𝘆𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗿𝗮𝗹 𝗶𝗺𝗮𝗴𝗶𝗻𝗴 (HSI) data? Then check out our 𝗵𝘁𝗰 repository which is now 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 on GitHub: https://t.co/0YVh4B8WmT 🥳
Hyperspectral imaging #HSI:
https://t.co/frjXos0GsZ
https://t.co/jbnfRXYQ01
#Photoacoustics:
https://t.co/7Au1422K16
https://t.co/rbrOKpQoR0
#NeuralSpicing
Great team effort with data science heroes @SeidlitzSilvia Jan Sellner @leo_ayala01 et al. under clinical lead of @doctor_felix and @beatpetemueller. Feedback from @IPCAI_conf welcome. An @ellislifehd @DataScienceDKFZ @NCT_HD @hidss4health initiative @ERC_Research #NeuralSpicing
“Learning to simulate“ training data for #DeepLearning-based quantitative imaging. Our very first steps within the framework of our new @ERC_Research project #NeuralSpicing
Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis
https://t.co/LMMLTN09SW
by Melanie Schellenberg et al. including @lena_maierhein
#MachineLearning #GenerativeAdversarialNetwork
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