Yangning Lu

Postdoc fellow studying neuroscience @eboyden3 @MIT @HHMINEWS, PhD @zhenlab_Toronto @UofT, BSc @FudanUniversity

[University of Toronto @UofT]

Today we welcome #UofT's 17th president, Melanie Woodin. An internationally recognized neuroscientist and double graduate of U of T, Woodin starts a new chapter on her first day in office. ➡️ https://t.co/m7LbcVmGyt

[Yangning Lu @YangningL]

@Lin_Zhong_ion Huge congratulations, Lin!! 🍾🎈🎊

[NeurIPS Conference @NeurIPSConf]

Please read our statement on the remarks made by Dr. Rosalind Picard at her NeurIPS 2024 invited talk and our commitment to respect, inclusivity, and upholding our values:
https://t.co/AsAtriVq5V

[Yangning Lu @YangningL]

@NeurIPSConf It’s racism, not “generalizations”. Can you change that? Thank you.

[Yangning Lu @YangningL]

@RosalindPicard Disrespectful, disgraceful, disgusting racist. Get fired and leave academia and teach ethics in your own family.

[NeurIPS Conference @NeurIPSConf]

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly.
NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.

[University of Toronto @UofT]

‘One of the great minds of the 21st century’: #UofT celebrates Geoffrey Hinton’s Nobel Prize 🎉 https://t.co/6THaLupl5j

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

[Yangning Lu @YangningL]

@ChangyangLinghu Huge congratulations, Changyang!!!

[The Nobel Prize @NobelPrize]

Geoffrey E. Hinton, awarded the 2024 #NobelPrize in Physics, was born in 1947 in London, UK.

He earned his PhD in 1978 from the @EdinburghUni, UK. Hinton is currently a professor at the @UofT, Canada.

https://t.co/tmocGUNQvg

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

[University of Toronto @UofT]

#UofT Professor Emeritus Geoffrey Hinton has won the 2024 Nobel Prize for Physics.

Hinton shares the prize with John J. Hopfield “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” #NobelPrize https://t.co/NkWyAwi3eZ

[Current Biology @CurrentBiology]

They wiggle forward, they wiggle backward, and occasionally they help win the #nobelprize!

Congrats to Ambros, Ruvkun and their model C. elegans!

[Massachusetts Institute of Technology (MIT) @MIT]

Congratulations to MIT alumnus Victor Ambros '75, PhD '79 and former postdoc @gary_ruvkun for winning a Nobel Prize in Medicine or Physiology! 🏅 @MIT_alumni

[The Figen @TheFigen_]

A farmer couldn't attend his aunt’s funeral,
so he put out heart-shaped food for his sheep so that "she could see it from heaven."

[Liquid AI @liquidai]

Today we introduce Liquid Foundation Models (LFMs) to the world with the first series of our Language LFMs: A 1B, 3B, and a 40B model. (/n)

[Yangning Lu @YangningL]

@Jiankui_He This is a seriously disturbing announcement that reflects your twisted view of scientific merit. I hope you no longer have access to any laboratory materials that will enable you to ruin the reputation of Chinese scientists again.

[ₕₐₘₚₜₒₙ @hamptonism]

The Matrix World

[Bo Wang @BoWang87]

🚀 The Segment Anything Model (SAM) has been upgraded to SAM2, featuring an efficient image encoder for segmenting images and videos. But does SAM2 outperform SAM1 in medical image and video segmentation?

We're thrilled to present our paper "Segment Anything in Medical Images and Videos: Benchmark and Deployment"! We comprehensively benchmark SAM2 across 11 medical image modalities and videos.

📄 Paper: https://t.co/NSymKcOJ8q
💻 Code: https://t.co/9B7CG8J655

**Highlights:**
1. SAM2 doesn’t always outperform SAM1 in 2D medical images, but excels in video segmentation, making it more accurate and efficient for 3D images, such as CT and MR scans.

2. MedSAM still outperforms SAM2 on most 2D modalities, but SAM2 surpasses MedSAM for 3D image segmentation in a slice-by-slice approach.

3. Segmentation performance varies with model size; sometimes the smallest model outperforms larger ones.

4. Fine-tuning SAM2 significantly boosts its performance for medical image segmentation.

While SAM2 may struggle with challenging objects that have unclear boundaries or low contrast, it excels in generating good initial segmentation masks for common medical images and videos. However, the official interface doesn’t support medical data formats and has limitations on video length. To address this, we've developed a 3D Slicer Plugin and Gradio API for efficient 3D medical image and video segmentation. We invite you to try them out and provide feedback!

🔧 Deployment:
- 3D Slicer Plugin: https://t.co/j83JChav2r
- Gradio API: https://t.co/4zJUuPFR12

(Note: Due to GPU limitations, the online API is available for only 12 hours and may be slow. We highly recommend deploying the Gradio API with your own computing resources: https://t.co/q5UydWs6Xd

A big shoutout to Jun Ma (@JunMa_11) who recently joined our UHN AI hub (@UHNAIHUB) as Machine Learning Lead, and kudos to all co-authors: Sumin Kim, Feifei Li, Mohammed Baharoon (@BaharoonMS), Reza Asakereh, and Hongwei Lyu! This is true teamwork!

Looking forward to collaborating with the community to advance 3D medical image and video segmentation foundation models!

@UHN @UofTCompSci @UofT_LMP @UofT_TCAIREM @VectorInst

#MedTech #AIinHealthcare #DeepLearning #MedicalImaging #SAM2 #MedSAM #AIResearch