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Florian Knoll (NYU) and Michal Drozdzal (@facebookai) announcing FastMRI at ISMRM Machine Learning Workshop

Our NYU Langone Health Radiology Chair, Dr. Michael Recht, just announced public release of the largest-ever repository of raw MRI data, to enable #AI research, as part of our fastMRI collaboration. Use it in (and for) good health! fastmri.med.nyu.edu RSNA #RSNA18 Center for Advanced Imaging Innovation & Research

More mature viewpoint: In a free, dynamic, & tradeoff-laden society, problems are inevitable, & no one is brilliant & omniscient enough to know the perfect solution. Better to seek new ideas, evidence for best tradeoffs than to blame (rival) "elites." nyti.ms/2R3kJWg

Barcelona is trying to show the world that there's a way out for loud, polluted, congested, warming cities. Around the world, hundreds of cities are looking on, waiting to see if it’s true. bit.ly/2D6KdJZ

Zizhao Zhang Michal Drozdzal and Matt presenting our work on active acquisition for MRI reconstruction now at #CVPR2019. Stop by poster 207!

The first-ever fastMRI challenge is here! Based on a research project by Facebook AI and NYU Langone Health, this challenge aims to produce diagnostic-quality images in less time. Winning teams will be invited to present at a NeurIPS 2019 workshop. ai.facebook.com/blog/fastmri-c…

With collaborators at Radboud University Medical Centre and Erasmus Medical Center, we propose a new gigapixel histopathology image classification pipeline based on CNNs. ai.facebook.com/blog/using-mul…

Checkout this blogpost about about work on histopathology images - some of that is related to what I was working on during my internship with Michal Drozdzal at @facebookai (arxiv.org/abs/1908.06037)

The future of health care is personal. Today, we’re publishing research on active MRI acquisition, which uses reinforcement learning to adjust AI-accelerated scans on a per-patient basis. This work complements our previous #fastMRI research w/@NYULangone. ai.facebook.com/blog/using-rei…

Really happy to share our work on using reinforcement learning for accelerating MRI acquisition, which we presented at @MICCAI2020 today (joint work with amazing collaborators Sumana Basu Adriana Romero-Soriano @ CVPR Roberto Calandra Michal Drozdzal). 1/7

(1/n) Anyone who's needed an MRI understands how uncomfortable and expensive it is. Many others needed one but couldn't get one because these limitations. This is my I'm excited about further work on accelerating MRI's via AI: ai.facebook.com/blog/using-rei…

🎤 In her #WTGC2021 talk, Adriana Romero-Soriano @ CVPR will discuss leveraging the complementarity of different data modalities, and actively acquiring information from the same data modality. 🎫 Reserve Your Ticket: shop.womentech.net/collections/fr… #womenintech #machinelearning

I'm very excited to have joined Luis Pineda, Adriana Romero-Soriano @ CVPR and Michal Drozdzal at FAIR Montreal today as a summer research intern!

We’ve built a new image generation model called Instance-Conditioned GAN. Unlike traditional GANs, IC-GANs can create high-quality images of entirely unfamiliar objects and scenes that aren’t part of the model’s training data. Code+ details: ai.facebook.com/blog/instance-…

Do we still need SGD/Adam to train neural networks? Based on our #NeurIPS2021 paper, we are one step closer to replacing hand-designed optimizers with a single meta-model. Our meta-model can predict parameters for almost any neural network in just one forward pass. (1/n)

We are looking to hire FAIR research interns (current PhD students) in 2022. Previous works led by students: arxiv.org/abs/1812.06164, arxiv.org/abs/1902.03051, arxiv.org/abs/2007.03778, arxiv.org/abs/2109.05070, arxiv.org/abs/2110.13100. DM me or Michal Drozdzal with bio and CV.

It will only cost 2% extra investment of our annual GDP to stay below 1.5 degrees climate change. That’s around 1.7 trillion a year. We spend 1/3 of that on direct subsidies to fossil fuels. Tax Carbon emissions and that to invest in sustainability! sapienship.co/decision-maker…

Happy to announce that our paper “On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction” has been accepted to #MIDL2022! Joint work with the amazing Luis Pineda, Matthew Muckley, Adriana Romero-Soriano, and Michal Drozdzal as part of the FAIR internship. 🧵