Akshay Chaudhari
@Dr_ASChaudhari
Assistant Professor at Stanford Radiology working on deep learning in medical imaging
ID:1111493968234053642
https://med.stanford.edu/mimi.html 29-03-2019 05:03:07
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My lab is hiring a post-doc! If you have a doctoral degree, experience with vision/language models, and a first-author publication in machine learning, please email me with your CV. langlotzlab.stanford.edu profiles.stanford.edu/curtis-langlotz Stanford AIMI
Noise2Recon, an excellent approach to variable SNR during reconstruction! Worth reading.
Paper ๐: doi.org/10.1002/mrm.29โฆ
Code ๐ฅ๏ธ: github.com/ad12/
Excellent work by Arjun Desai Batu Ozturkler Chris Sandino Marc Willis Brian Hargreaves hazyresearch Akshay Chaudhari et al. ๐
Statistical shape models (SSMs) are now being commonly used to assess anatomic variations. Anthony A Gatti's newest work improves upon SSMs using more accurate neural shape models, whose latent features can be used for several downstream tasks.
Dataset, code, models all online!
Im excited for my first #ISMRM2024 oral presentation
'Neural Shape Models Meaningfully Localize Features Relevant to Osteoarthritis Disease'
We're also sharing our medRxiv paper and announcing our ShapeMed-Knee Dataset that we hope others will leverage to advance the field
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Build what you need and use what you build. This is a core philosophy of my research. It shifts the focus away from publishing โpapersโ to what really matters โ impact. This thread unpacks why I think this is a successful approach to science. 1/10 Or see:
perceiving-systems.blog/en/post/build-โฆ
Brian Hargreaves (Brian Hargreaves), ISMRM Singapore Program Chair, already deserves huge applause for the blood, sweat & tears he has put into the meeting
A HUGE amount of work &, (sorry Brian), lots more in the next few weeks!
Please send๐๐ผ to keep him going!
ismrm.org/24/24program.hโฆ
#LargeLanguageModels can outperform medical experts in clinical text summarization, according to research led by AIMI Associate Director Akshay Chaudhari & published by Nature Medicine. go.nature.com/3xkdqQG
Congrats for the work from Dave Van Veen Akshay Chaudhari #LLM can reduce the documentation burden on clinicians with equivalent or superior quality. #GenAI may help clinicians to allocate more time to patient care rather than administrative tasks.
nature.com/articles/s4159โฆ
In this 'Nature' article, #StanDOM 's Neera Ahuja, William Collins, Nidhi Rohatgi, MD, MS, SFHM, Poonam Hosamani MD & colleagues explore how #LargeLanguageModels could help reduce clinician documentation burden. go.nature.com/3PdZUnV
