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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.

EPFL, Lausanne, Switzerland
Joined September 2020
Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by Biomedical Imaging Group (BIG) (@big_epfl)Photo by 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.
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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
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'Random ReLU Neural Networks as Non-Gaussian Processes', by Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser. jmlr.org/papers/v26/24-0737.… #stochastic #autocovariance #gaussian
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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 👉 cnio.es/empleo/research-scie… @OscarLlorcaCNIO
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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: splineops.github.io
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Congrats Rahul! 🎉 We wish you the best for the rest of your academic journey from BIG!
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.
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Biomedical Imaging Group (BIG) retweeted
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.
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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: ieeexplore.ieee.org/document…
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'Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions', by Stanislas Ducotterd et al. jmlr.org/papers/v25/22-1347.… #regularization #optimization #unconstrained
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⏰ 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: lnkd.in/dFKa8dtU Registration: lnkd.in/eQyM2HJZ
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🤔 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.
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Currently at Photonics West in San Francisco, my first big conference since Covid. Ping me if you're around too! – at San Francisco, CA
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🎉 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: imaging.epfl.ch/
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📊🔬 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! 🙌
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🚀 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
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FlexSIM reconstruction of actin network (gray), microtubules (red), and clathrin (blue) in COS- 7 cells imaged in TIRF-SIM mode. #FluorescenceFriday
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🎉 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 😉 actu.epfl.ch/news/epfl-intro…
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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! 🎉🔬
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🙌🏼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 actu.epfl.ch/news/six-ambizi…
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