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For as along as there've been sensors, there's been noise to deal with - hence the importance of denoisers Recently we're using denoisers to solve far bigger problems -in imaging, inverse problems, & machine learning. So what are denoisers and what properties do they have? 1/n

I am often invited to review papers on deep learning for medical images. Unfortunately many papers do the same mistake; they split data into training/validation/test on the slice/image/patch level instead of on the patient level. This will lead to inflated test scores, as images

The Oden Institute Peter O'Donnell Jr. Postdoc Fellowship program is accepting applications (deadline Dec 1). Contact me if you are interested in applying and working together on 💻🧲🖼️ (computational magnetic resonance imaging)! oden.utexas.edu/research/progr…

Very cool!

A new institute coming to the Forty Acres will harnesses artificial intelligence to explore some of the leading mysteries of the universe, including dark matter and the fundamentals related to the search for life 🌌🤘 Oden Institute | #TexasAI utex.as/47wrYe2

If you are interested in joining CIG as a PhD student in 2025 and are from a U.S. institution, consider the Olin-Chancellor’s Fellowship. It provides $45,000 in annual stipend, $1,500 in research funds, full tuition scholarship, and more. More info: provost.wustl.edu/vpge/fellowshi…

Congrats to the Texas ECE Advising Office who were named the 2024 Outstanding Advising Program by NACADA. The Texas ECE undergraduate advising office is Brittney Outlaw, Libby McSwain, and Stacy Pederson.

You can apply to the medical track to work on biomedical imaging at NYU Langone Health Department of Radiology

#AcademicChatter #AcademicX

📢 Open postdoc position at ENS Lyon, working with me. 📷 Goal: develop new learning-based methods for large-scale computational imaging. More info here: tachella.github.io/assets/pdf/pos…

Blink and you'll miss it! ISMRM quietly introduced a REVOLUTION for the #reproducibility of #MRI research: #RegisteredReports!! Something I've been fighting for for years, now a reality thanks to the hard work of Sophie Schauman, MEugenia Caligiuri, and Laura !

Interested in a #STEM #PhD in biomedical imaging & technology at NYU Grossman School of Medicine? Join us for a virtual info session! Friday, Oct 11, at 4 pm ET Register at nyulangone.zoom.us/webinar/regist… PhD program homepage: med.nyu.edu/research/vilce… CC Riccardo Lattanzi Steven Baete Li Feng Ryn Flaherty (he/him)

Most of the AI hype folks on here talking about AI and medicine have never diagnosed a patient, have never given treatment, have never counseled a patient. I've practiced medicine and built/tested AI tools. We aren't anywhere close to "replacing doctors".

AI training data crimes in MRI can lead to "Death by retrospective undersampling". See at MICCAI2024 how undersampling can implicitly change MR dynamics in the resulting accelerated scan, leading to a data domain shift! #FAU #MRI Andreas K. Maier link.springer.com/chapter/10.100…

The free Kindle version of the fourth edition of my book Linear Algebra Done Right is now available at amazon.com/Linear-Algebra…. The free pdf version of the book is available at linear.axler.net. The free translation into Chinese is also available as a pdf file at

Are you at Asilomar_SSC? Check out Dr. Yamin Arefeen's Education + Scientific talk on INFusion: Diffusion Regularized Implicit Neural Representations for MRI recon. Learn about MRI, INRs, and Diffusion Models in one go! Today at 10:15am PT: cmsworkshops.com/Asilomar2024/v…

Finally, Yameen from Jon Tamir's group gave a nice talk about fusing INRs and diffusion models for MRI.

Full house at the opening session of UT Austin's AI LIVE. Frontiers of Machine Learning with IFML Director Adam Klivans, Professor Ying Ding School of Information - UT Austin and IFML Research Scientist Danny Diaz Danny Diaz -- 3 days, 6 tracks--See the full agenda: yearofai.utexas.edu/ailive/ #yearofAI

Excellent work, Jiachen!