Last Monday,
@AIatMeta
released SAM2.
The community shared Medical-SAM2 just a few days later🔥
kudos to Jiayuan Zhu, Yanli Qi and
@JundeMorsenWu
Dataset:
Paper:
📢 Join our online MedSAM-2 session 🚀
Do you want to uncover the potential of MedSAM-2 model?
Our amazing team
@yunli_qi
@JundeMorsenWu
is excited to present MedSAM-2
@_akhaliq
Space this Wednesday at 11am EST!
Thanks again for the invitation from
@_akhaliq
@huggingface
🙌
📢Thanks the invitation from
@_akhaliq
@huggingface
for presenting our work
@yunli_qi
@JundeMorsenWu
. It's extremely flattered to know we are the first of this kind.
🥳Such a great time to exchange our mind with people around
🥰Come to listen our recoding if you missed!
The discussion session hosted by
@_akhaliq
@huggingface
is really helpful!
The human-in-the-loop segmentation question raised by
@Xianbao_QIAN
is indeed the main work we are doing
@JundeMorsenWu
Check our first draft paper here if you are interested:
Last & This Week in Medical AI: Top Research Papers/Models 🏅
(August 3 - August 17, 2024)
- Medical SAM 2: Segment medical images as video
- MedGraphRAG: Graph-Enhanced Medical RAG
- Multimodal LLM for Medical Time Series
- ECG-FM: Open Electrocardiogram Foundation Model
-
And NEVER WORK WITH THESE MONSTERS 🆘
@JiayuanZhu_
@yunli_qi
They pushed me through three sleepless nights---as a mentor!
I almost passed out after finishing the paper.
Jokes aside, collaborating with these brilliant young minds has been among the most joyful episodes of my
🧬🔬 Medical AI Research alert! 🚨
MedGraphRAG: A novel graph-based Retrieval-Augmented Generation (RAG) framework for enhancing Large Language Models (LLMs) in the medical domain.
Authors (
@JundeMorsenWu
,
@JiayuanZhu_
and
@yunli_qi
)
Here's why it's exciting: 👇🧵
#AI
I've dedicated so much time and effort into this project, and it's finally paying off 🤩
Join me at
#CVPR
poster session if you're interested - I'll also be online to answer your questions 💻
I'm excited to announce that we will be presenting our
#CVPR
paper, "One-prompt to Segment All Medical Images," at Arch 4A-E from 10:30 to 12:00 on June 20th. Come if you're interested🥳
Prof.
@xumin100
will be there in person, and I will be online, as I'm unfortunately still
@philipcortes
@JundeMorsenWu
@_akhaliq
@Xianbao_QIAN
Thanks for your attention!
If you are interested in the human-in-the loop setting, you can check our MedUHIP paper here (). It involves human-in-the-loop to handle medical image uncertainty
Congratulations to OxWoCS-sponsored
@turinginst
AI UK 2024 scholarship winners: Millie Zhou, Hoda Kalabizadeh, Grace Yu & Jiayuan Zhu! Awardees are OxWoCS members, chosen based on extraordinary leadership/volunteer contributions in CS @ Oxford. Thank you for all your hard work!
In 2023, the most auspicious and courageous step I took was selecting a research career path that captivates me, a field where I am wholeheartedly committed to investing my lifelong endeavours 👩💻✨
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