Qingyu Zhao (@qingyuzhaowcm) 's Twitter Profile
Qingyu Zhao

@qingyuzhaowcm

Assistant Professor of Artificial Intelligence @WeillCornell Radiology
Machine Intelligence in Neuroimaging 🤖🧠

ID: 1679603291435728896

linkhttps://mini-cornell.github.io/ calendar_today13-07-2023 21:27:03

19 Tweet

49 Followers

54 Following

Favour Nerrise ‎فيبر 🇨🇲 (@fnerrise) 's Twitter Profile Photo

Grateful for our amazing collaborators Qingyu Zhao, Kathleen L Poston, Kilian Pohl, and @EhsanAdeli, whose expertise in #Neuroscience, #AI, #ParkinsonsDisease, & more made xGW-GAT possible! Thanks to Wu Tsai Neurosciences Institute for funding & PyG + others for open-source GNN contributions. N/N

Neuroscience News (@neurosciencenew) 's Twitter Profile Photo

A new study on twins reveals a startling genetic connection between Disordered Eating & Alcohol Use Disorder. Findings underscore the need for sex-specific treatments and early screenings. An essential step towards safeguarding vulnerable adolescents. neurosciencenews.com/aud-genetics-e…

A new study on twins reveals a startling genetic connection between Disordered Eating & Alcohol Use Disorder. Findings underscore the need for sex-specific treatments and early screenings. An essential step towards safeguarding vulnerable adolescents.

neurosciencenews.com/aud-genetics-e…
Machine Learning in Medicine Webinar (@mlimwebinar) 's Twitter Profile Photo

Annnnd we're back! 🕺 💃 🎉 Join us this Friday, Oct 6th at 10am EST for our first seminar of the Machine Learning in Medicine Fall 2023 Series with Anqi Wu (@anqiwu.bsky.social)! "Understanding the Brain Using Interpretable Machine Learning Models" weillcornell.zoom.us/j/92581271707 Passcode: 437063

Annnnd we're back! 🕺 💃 🎉 

Join us this Friday, Oct 6th at 10am EST for our first seminar of the Machine Learning in Medicine Fall 2023 Series with <a href="/anqiwu_angela/">Anqi Wu (@anqiwu.bsky.social)</a>!

"Understanding the Brain Using Interpretable Machine Learning Models"

weillcornell.zoom.us/j/92581271707
Passcode: 437063
James Zou (@james_y_zou) 's Twitter Profile Photo

How well can #GPT4 provide scientific feedback on research papers? We study this Q in our new work arxiv.org/pdf/2310.01783… We created a pipeline using GPT4 to read 1000s papers (from #Nature, #ICLR, etc.) and generate feedback (eg suggestions for improvement). Then we compare

How well can #GPT4 provide scientific feedback on research papers? We study this Q in our new work arxiv.org/pdf/2310.01783…

We created a pipeline using GPT4 to read 1000s papers (from #Nature, #ICLR, etc.) and generate feedback (eg suggestions for improvement). Then we compare
Juan Eugenio Iglesias (@juaneugenioigl1) 's Twitter Profile Photo

After seven (7!) years of work with >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions: github-pages.ucl.ac.uk/NextBrain Preprint, data, code, videos, and much more in this 🧵(1/5)

After seven (7!) years of work with &gt;20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions:
github-pages.ucl.ac.uk/NextBrain
Preprint, data, code, videos, and much more in this 🧵(1/5)
Thomas Yeo (@bttyeo) 's Twitter Profile Photo

1/11 The poll has ended: 53% (scan time) vs 47% (sample size)! Here's our in-depth take on brain-wide association studies (with a 134-page supplement!): biorxiv.org/content/10.110… Led by Leon Ooi Csaba Orban, there are a few twists, so do read till the end! Our previous study ...

1/11 The poll has ended: 53% (scan time) vs 47% (sample size)!

Here's our in-depth take on brain-wide association studies (with a 134-page supplement!): biorxiv.org/content/10.110…

Led by <a href="/Leon_Oo1/">Leon Ooi</a> <a href="/csabaorban/">Csaba Orban</a>, there are a few twists, so do read till the end! Our previous study ...
Akshay Chaudhari (@dr_aschaudhari) 's Twitter Profile Photo

Our clinical #NLP work just published in Nature Medicine! We present a framework to adapt & evaluate #LLMs for summarization. Physicians 🩺 prefer #LLM summaries to those of #medical experts❗ Big step to reduce documentation 📚 and focus more on personalized care 🙌 A 🧵

Our clinical #NLP work just published in  <a href="/NatureMedicine/">Nature Medicine</a>! We present a framework to adapt &amp; evaluate #LLMs for summarization. Physicians 🩺 prefer #LLM summaries to those of #medical experts❗

Big step to reduce documentation 📚 and focus more on personalized care 🙌

A 🧵
Mert R. Sabuncu 🤖🩻⚕️ (@mertrory) 's Twitter Profile Photo

Faculty Search: Do you have a PhD with a research focus in AI/machine learning for medical imaging and are looking for a faculty job? We are recruiting Assistant Professors Cornell University, in New York City. Come join us: academicjobsonline.org/ajo/jobs/28548

Johannes C. Paetzold (@jocpae) 's Twitter Profile Photo

Thrilled to announce that I will be starting as an Assistant Professor at Cornell University in February! #MICCAI #miccai2024 linkedin.com/posts/johannes…

Weill Cornell Medicine Radiology (@wcmradiology) 's Twitter Profile Photo

🧠 Read "Sex-specific differences in #brain activity dynamics of youth with a family history of #SubstanceUseDisorder" a bioRxiv by L Schilling, Parker Singleton, @crntozlu, M Hédo, Qingyu Zhao, K Jamison, and Amy Kuceyeski | @[email protected] 👉 tinyurl.com/2s4cjw9p

🧠 Read "Sex-specific differences in #brain activity dynamics of youth with a family history of #SubstanceUseDisorder" a <a href="/biorxivpreprint/">bioRxiv</a> by L Schilling, <a href="/singletonion/">Parker Singleton</a>, @crntozlu, M Hédo, <a href="/QingyuZhaoWCM/">Qingyu Zhao</a>, K Jamison, and <a href="/amykooz/">Amy Kuceyeski | @amykooz@bsky.social</a> 👉 tinyurl.com/2s4cjw9p
Camila González (@camgbus) 's Twitter Profile Photo

Attending ICML Conference and interested in confounder-free learning? Check out our work "Confounder-Free Continual Learning via Recursive Feature Normalization", where we introduce the flexible R-MDN layer for on-the-fly confounder removal from continuous data streams! 🕟 Thu 17 Jul

Attending <a href="/icmlconf/">ICML Conference</a> and interested in confounder-free learning? Check out our work  "Confounder-Free Continual Learning via Recursive Feature Normalization", where we introduce the flexible R-MDN layer for on-the-fly confounder removal from continuous data streams! 
🕟 Thu 17 Jul