Biomedical Imaging Group (BIG)

Led by Prof Michael Unser @EPFL_en. Working on new algorithms and mathematical tools for the processing of biomedical images. Spline lovers. Tweets by students.

[Biomedical Imaging Group (BIG) @big_epfl]

From biomedical imaging research to open source 💙

SplineOps v1.2.0 is out: a Python library for fast, high-accuracy spline signal & image processing.
Its projection-based resizing goes beyond the state of the art in quality, for scientific and medical imaging workflows.

[Conference on Parsimony and Learning (CPAL) @CPALconf]

CPAL is excited to have an amazing set of Keynote speakers representing sparse computing, optimization, foundations of AI, neuroscience, psychology, and decision making

@AlisonGopnik @KordingLab @jasondeanlee @Andrea__M @tydsh @big_epfl @doristsao @rbaraniuk
Fredrik Kjolstad

[Journal of Machine Learning Research @JmlrOrg]

'Random ReLU Neural Networks as Non-Gaussian Processes', by Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser.

https://t.co/cPM1iKfWZp

#stochastic #autocovariance #gaussian

[Arrate Munoz Barrutia @ArrateMunoz]

An exciting opportunity to help shape the future of cancer research through AI and HPC!

📥 Apply today or share with your network!

More details and application instructions 👉

https://t.co/FVg35Zk5wb

@OscarLlorcaCNIO

[Biomedical Imaging Group (BIG) @big_epfl]

We are thrilled to announce SplineOps! 🚀
An open-source library unlocking decades of pioneering research on spline algorithms developed by the Biomedical Imaging Group. Check it out! 🤩
Here: https://t.co/EkB5dPLdlh

[Biomedical Imaging Group (BIG) @big_epfl]

Congrats Rahul! 🎉

We wish you the best for the rest of your academic journey from BIG!

[Rahul Parhi @RahulParhi]

I am excited to share that I will be joining the ECE department @UCSanDiego as an assistant professor this fall!

I would particularly like to thank @rdnowak for all his support since the beginning of my Ph.D. and Michael Unser (@big_epfl) for being a great post-doc supervisor.

[Rahul Parhi @RahulParhi]

I am excited to share that I will be joining the ECE department @UCSanDiego as an assistant professor this fall!

I would particularly like to thank @rdnowak for all his support since the beginning of my Ph.D. and Michael Unser (@big_epfl) for being a great post-doc supervisor.

[IEEE Trans. on Computational Imaging @IEEE_TCI]

Inverse Problems: Discrete or Continuous? @MehrsaPourya et al. from @big_epfl explain that box splines and multi-res bridge the gap:

"A Box-Spline Framework for Inverse Problems with Continuous-Domain Sparsity Constraints”
On early access:
https://t.co/DHIBwsHCKu

[Journal of Machine Learning Research @JmlrOrg]

'Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions', by Stanislas Ducotterd et al.

https://t.co/wQMFutWAGk

#regularization #optimization #unconstrained

[EPFL Center for Imaging @EPFL_Imaging]

⏰ First Imaging Seminar of the year on February 1: "Unique X-ray microscopy capabilities at SLS2.0: dynamic tomographic imaging and beyond" by Marco Stampanoni from @psich_en
More info: https://t.co/pUMl2EIPx7
Registration: https://t.co/P1tPikZzhL

[EPFL Center for Imaging @EPFL_Imaging]

🤔 How to design your #imaging experiment? Where to acquire images at @EPFL or get help for their analysis? What about learning new skills?

Today, Laurène Donati & Edward Andò gave @Materials_EPFL scientists an overview of the resources available at EPFL for doing top imaging.

[Jonathan Dong @jonathdong]

Currently at Photonics West in San Francisco, my first big conference since Covid. Ping me if you're around too!

[EPFL Center for Imaging @EPFL_Imaging]

🎉 A new year, a new website for the EPFL Center for Imaging!

Click on the link below to explore cutting-edge research and resources in #imaging at @EPFL_en🔬📸💻🔭🛰️

Dive in and discover the future of imaging science across scales: https://t.co/UDjbbunNjn

[EPFL Center for Imaging @EPFL_Imaging]

📊🔬 Wonderful discussions yesterday around data management in #imaging at our joint event with @bitsinbio Lausanne!

A big thank you to @joel_luethi, @bercowskya, and Rémy Dornier for sharing their expertise and insights, and to @ThomVett for making it happen so smoothly! 🙌

[Jonathan Dong @jonathdong]

🚀 Exciting News! Join us at the Applied Machine Learning Days at EPFL, Lausanne, Switzerland on March 26 for an enlightening Poster Session in the "AI & Physics" track! 🤖⚛️ Explore the rich history and recent breakthroughs where Artificial Intelligence and Physics collide.
1/3

[Emmanuel Soubies @EmmanuelSoubies]

Very happy to present our new 2D-SIM reconstruction method : FlexSIM !😀🔬
Paper : https://t.co/k8i4RXcq0s
Code : https://t.co/ZGg5ElorpX

[Emmanuel Soubies @EmmanuelSoubies]

FlexSIM reconstruction of actin network (gray), microtubules (red), and clathrin (blue) in COS-
7 cells imaged in TIRF-SIM mode.

#FluorescenceFriday

[EPFL Center for Imaging @EPFL_Imaging]

🎉 Today marks the official starting day of the new @epfl_en Minor in Imaging!

A broad array of courses is available to students, from sensors, cameras and optical systems to image analysis, computer vision and AI!

Good luck making your picks 😉

https://t.co/CY1YtdvMxR

[Virginie Uhlmann @VirginieUhlmann]

Big personal news: I will be moving to @UZH_en to setup the BioVisionCenter! Having the opportunity to coordinate research in bioimage analysis and push for the development of standardized open-source resources at home is a dream come true! 🎉🔬

[EPFL Center for Imaging @EPFL_Imaging]

🙌🏼Congratulations to Jonathan Dong (@jonathdong ) from @big_epfl for winning a @snsf_ch Ambizione grant which supports outstanding postdoctoral researchers who wish to conduct, manage and lead their own independent research project. @EPFL_ReO
https://t.co/BFV6FqjfZS