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En la Gene Golub SIAM Summer School 2024, avanzamos hacia “Continuous Linear Algebra” y “Data Driven Inverse Problems” para solucionar problemas complejos. ¡Un día lleno de avances y descubrimientos! SIAM #SIAM #G2S3UIO #ContinuousLA #DataDrivenInverseProblems

Exciting news! CHIA is hiring academic staff: Two Assistant Professors and one Teaching Associate in Human-Inspired AI. For full details and how to apply, see jobs.cam.ac.uk/job/47407/ Deadline: 1 Sept., 2024 jobs.cam.ac.uk/job/47788/ Deadline: 30 September, 2024 Cambridge University

Did you know our AI clinic offers free support to researchers Cambridge University? Our AI experts can help with issues across the research pipeline, from writing proposals to implementing & deploying models. Get in touch to find out how we can support you! bit.ly/3ERxWcu

Register here NSF Workshop on Data-driven Modeling and Prediction of Rare and Extreme Events, The University of Chicago Instit. for Mathematical & Statistical Innovation November 21-22, 2024: tinyurl.com/nsf-rare

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach: bit.ly/4ef0rQF Jason Tarkin Jonathan Weir-McCall VPD Heart & Lung Research Institute Rouchelle Sriranjan Rothwell Andrej Corovic Nicholas Evans Carola-Bibiane Schönlieb Evis Sala Medicine at Cambridge CambridgeCardio

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach: bit.ly/4ef0rQF Jason Tarkin Jonathan Weir-McCall VPD Heart & Lung Research Institute Rouchelle Sriranjan Rothwell Andrej Corovic Nicholas Evans Carola-Bibiane Schönlieb Evis Sala Medicine at Cambridge CambridgeCardio

Carola-Bibiane Schönlieb opening #IbSB2024 with a great talk on computational image analysis!

Happy to share that Emilien Valat paper is out there - the most interesting read you will find for this weekend 📖📚🙇‍♀️

Ever wondered how to extract geometry out of data? We propose a score-based pullback Riemannian metric, giving closed-form geodesics and interpretable autoencoding, capturing the intrinsic dimensionality & geometry of data! 🔗 Read the full paper here: arxiv.org/abs/2410.01950

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach: bit.ly/4ef0rQF Jason Tarkin Jonathan Weir-McCall VPD Heart & Lung Research Institute Rouchelle Sriranjan Rothwell Andrej Corovic Nicholas Evans Carola-Bibiane Schönlieb Evis Sala Medicine at Cambridge CambridgeCardio

Today's seminar featured Simon Deltadahl from BloodCounts! presenting a novel diffusion-based approach for blood cell classification! @THaavardsholm from Universitetet i Oslo shared insights on situational awareness for autonomous platforms. Inspiring discussions! 🌟

We had an exciting CIA Group seminar today! 🎉 Huge thanks to Carola-Bibiane Schönlieb for her talk on "From Geometric PDEs and Variational Modelling to Deep Learning for Images" and Maya Bechler-Speicher from Tel Aviv University on "Mitigating Graph Overfitting in GNNs". #Innovation

Mathematical imaging applications and the vision for the future by Prof Carola Bibiane Schönlieb from the Department of applied mathematics and theoretical physics, University of Cambridge. 💯✨ AI for science summit Accelerate_Science Cambridge University Faculty of Mathematics - University of Cambridge

Dr Anna Breger, working with Professor Carola Schönlieb Carola-Bibiane Schönlieb at the Cambridge Image Analysis group group in Faculty of Mathematics - University of Cambridge, will lead a project looking at imaging & ML methods for reconstructing degraded historical sheet music.

📣Stop by our NeurIPS Conference Poster #3103 Today at 11 AM! for DiGRAF: Diffeomorphic Graph Adaptive Activation Function - an activation function that adapts to the graph structure by learning a diffeomorphism. Joint Work with Xinzhi Wang (equal contrib.), Carola-Bibiane Schönlieb, Bruno Ribeiro ,

A Pipeline for Automated Quality Control of Chest Radiographs doi.org/10.1148/ryai.2… Jude Babar Carola-Bibiane Schönlieb MedUni Wien #AutoQC #DeepLearning #ML

In SIAM News Online, Angelica Angelica I Aviles-Rivero and Carola-Bibiane Schönlieb (Carola-Bibiane Schönlieb) describe semi-supervised hybrid modeling in #healthcare, which preserves theoretical guarantees while achieving higher performance than pure #deeplearning models. siam.org/publications/s…

Nuestra investigadora Paula C fue invitada a presentar ponencias en dos de las más prestigiosas universidades a nivel mundial, la Universidad Cambridge y el Imperial College London. Felicitamos por este posicionamiento internacional y por su aporte al desarrollo meteorológico🌦️

A Pipeline for Automated Quality Control of Chest Radiographs doi.org/10.1148/ryai.2… Carola-Bibiane Schönlieb Jonathan Weir-McCall Department of Radiology, University of Cambridge #CXR #ChestRad #ML