Cambridge Image Analysis group
@CamImaging
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Successfully analysing images since 2011 @FacultyMaths @Cambridge_Uni #InverseProblems #DeepLearning #MedicalImaging #ArtRestoration (PI: @caromitreka)
Cambridge, UK
Joined March 2020
RT @cambUP_maths: The Art of Inpainting by Simone Parisotto, Patricia Vitoria, Coloma Ballester, Aurélie Bugeau, Suzanne Reynolds and Carol….
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🎉 Congrats to Yichen Chen — Runner-up for Most Impactful Poster at UoC-AZ PhD Symposium! 🏅 "Automated Discovery of Real & Interpretable Image Biomarkers" And to Simon Deltadahl — CSAR PhD Award 2025 for "Deep Generative Classification of Blood Cell Morphology" 👏.
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We were delighted to have guest speaker Xue-Cheng Tai from @NORCEresearch present his research on PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. Fascinating insights into the theoretical foundations of #DeepLearning architectures! 🔍 #AIResearch
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🔬Exciting Friday seminar! Fan Zhang presented his production-ready Federated Learning platform for healthcare applications, while Zhongying Deng shared insights on Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. Two fantastic talks advancing #HealthcareAI
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🚀 In today's CIA seminar, Leonardo Del Grande (University of Twente) shared valuable insights on Exact Sparse Representation Recovery in convex optimization. A fascinating deep dive into the power of sparsity! 💡🔍 #Optimization #SparseRecovery #MachineLearning
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RT @TheSIAMNews: In SIAM News Online, Angelica @aviles_rivero and Carola-Bibiane Schönlieb (@caromitreka) describe semi-supervised hybrid m….
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RT @flwrlabs: 🩸📝 The BloodCounts! and Flower Labs are delighted to announce the first results of their year-long collaboration today!. This….
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In today's seminar, we were thrilled by @JulianMaths's presentation on Validation Data Overuse & Translation into Practice. Insightful discussions and key takeaways on ensuring robust model evaluation! 🚀 #AI #MachineLearning #ModelValidation"
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We had an exciting CIA seminar this week! @ChriseldaOliver presented the Linear Wasserstein Framework, and @WallacePeaslee shared fascinating insights on degraded music manuscripts and potential contrast. Great discussions all around! #MusicRestoration #Wasserstein
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🚀In today’s CIA seminar, we were delighted to have @AnderBiguri discuss inverse problems, their role in CT/PET imaging, and the latest PET advancements. @KellyKokka also shared insights on using computer vision to extract environmental characteristics from imagery. Great talks!
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RT @Zakobian: I recently learned about a very cool fact: if you compose flows of two Hamiltonians, this is also Hamiltonian. What is more -….
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🚀 In today's CIA seminar, @TheSeparatrix shared insights on detecting iron deficiency in blood donors using full blood count data, while @_JRowbottom introduced G-Adaptivity: an optimised graph-based mesh relocation technique for the finite element method. Fascinating talks!
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Fantastic talk from @Zakobian at today's CIA seminar! 🚀 He shared insightful work on the Future of Synthetic Data, covering Model Collapse & Equivariant Neural Operators. 🔥 #AI #MachineLearning #SyntheticData
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RT @AccelerateSci: Dr Anna Breger, working with Professor Carola Schönlieb @caromitreka at the @CamImaging group in @FacultyMaths, will lea….
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Today's CIA seminar was packed with insights! 🎓✨.🔹 @ChriseldaOliver presented her insightful work on Laplace Learning in Wasserstein Space. 🔹 @WallacePeaslee shared fascinating work on Registering Archival Photos of Panel Paintings. #MachineLearning #ImageProcessing
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RT @ai_cam_mission: 📣 Registration to the NeurIPS meetup@Cambridge on Fri 6 Dec is now open! .If you would like to discuss the ML researc….
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In today’s CIA seminar, we were thrilled to welcome Christina Runkel for an insightful talk on Reconstructing Training Data🤖. Huge thanks also to Erik Jansson from @goteborgsuni, who shared his research on Geometric Shape Matching for Single-Particle Cryo-EM Data🧬🔬. #AI
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We had an exciting CIA Group seminar today! 🎉 Huge thanks to @caromitreka 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
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Today's seminar featured @deltadahl from @blood_counts presenting a novel diffusion-based approach for blood cell classification! @THaavardsholm from @UniOslo shared insights on situational awareness for autonomous platforms. Inspiring discussions! 🌟
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